Jobs in Estonia

Senior Software Quality Engineer

ECHO RESTO OÜ

<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2> <p>Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.</p> <p> </p> <h2>Team Culture</h2> <p>Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.</p></div><h2><strong>SUMMARY</strong></h2> <p class="p1">As a Sr. Software Quality Engineer, you will work with the cross-functional team to act as a champion of Design Quality Assurance and Engineering activities throughout the product development lifecycle. You hold your work and teams to the highest quality standards and ensure all applicable compliance standards and regulations are met. This is a hands-on role supporting multiple domains across system and software engineering, supplier management and quality system implementation.</p> <p> </p> <h2><strong>PRIMARY ROLE AND RESPONSIBILITIES</strong></h2> <ul> <li class="p1">Participate in ongoing implementation of the Quality Management System (QMS) in conformance with US FDA QMSR, ISO 13485, IEC 62304, and IEC 62366-1 and other relevant standards</li> <li class="p1">Support the product development team in creation of design history files (DHFs) including product requirements, software architecture and design specifications, design verification and validation test protocols and reports, risk management file, cybersecurity documentation, traceability matrices, etc.</li> <li class="p1">Guide and lead risk management activities, including failure modes and effects analysis (FMEA) and hazards analysis, in alignment with ISO 14971</li> <li class="p1">Guide and lead computerized system assurance and validation activities for SW tools and systems.</li> <li class="p1">Engage and collaborate with suppliers and support design, development and design transfer activities.</li> <li class="p1">Support and participate in internal and external audits, coordinating and providing documentation and evidence of compliance</li> <li class="p1">Support root cause analysis for nonconformances, defects and CAPAs, issue management, management review and quality data analysis</li> <li class="p1">Foster a collaborative environment, champion conti</li> </ul> <p> </p> <h2><strong>QUALIFICATIONS</strong></h2> <ul> <li class="p1">Bachelor’s or Master’s degree in Engineering (e.g., Biomedical, Computer Science, Electrical, or related field).</li> <li>8+ years of quality engineering or in medical device development from concept development to production release.</li> <li class="p1">Strong understanding of medical device regulations and standards (FDA, ISO 13485, IEC 62304, ISO 14971, IEC 62366-1) and experience working in a regulated environment</li> <li class="p1">Experience with software V&V activities, experience with AI/ML technology is a plus</li> <li class="p1">Hands-on experience with risk management tools (e.g. FMEA, risk analysis) and design controls Experience in establishing work relationships across multi-disciplinary teams and with partners in different time zones, building trust and demonstrating critical thinking</li> <li class="p1">Experience in navigating ambiguity, bringing clarity to complex situations and thriving in a fast-paced environment</li> </ul> <p> </p> <h2><strong>OTHER QUALIFICATIONS</strong></h2> <ul> <li class="p1">Proficient in working in eQMS tools with impeccable documentation skills</li> <li class="p1">Superior written and verbal communication skills to interface with cross-functional teams and regulatory bodies</li> <li class="p1">Strong analytical skills and excellent problem-solving skills</li> <li class="p1">Exceptional organizational skills and attention to detail</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="title">Salary</div><div class="pay-range"><span>$155,000</span><span class="divider">—</span><span>$185,000 USD</span></div></div></div><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2> <ul> <li> <p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p> </li> <li> <p>Competitive compensation, including stock options.</p> </li> <li> <p>Comprehensive benefits package.</p> </li> <li> <p>401(k) program with matching contributions.</p> </li> </ul> <p> </p> <h2>Equal Opportunity Employer</h2> <p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p> </p> <h2>Confidentiality</h2> <p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

Senior Mechanical Engineer

ECHO RESTO OÜ

<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2> <p>Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.</p> <p> </p> <h2>Team Culture</h2> <p>Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.</p></div><h3><strong>Role Overview</strong></h3> <p>As a Senior Mechanical Engineer, you will own the mechanical architecture, design, development and scale of a brain-space active implantable product toward high-volume manufacturing, working closely with contract manufacturing partners. You'll take a design through human-factors testing, design verification, and into full-scale production.</p> <p><strong>Primary Role and Responsibilities</strong></p> <ul> <li><strong>Device Design Refinement</strong>: Evolve mechanical assemblies — hermetic enclosures, ultra-fine multi-lumen components, connectors, and surgical deployment tools — optimizing for manufacturability and reliability.</li> <li><strong>Contract Manufacturer Collaboration</strong>: Serve as primary technical point of contact for contract manufacturers, driving joint development, process characterization, resolving yield and quality issues, and holding CMs accountable to design intent, timelines, and quality.</li> <li><strong>Materials Application</strong>: Apply and validate biocompatible materials (titanium, platinum-iridium, specialized polyurethanes, silicones) for chronic implantation, fatigue resistance, and biostability.</li> <li><strong>Tolerance & Stress Analysis</strong>: Perform FEA for stress, strain, and fatigue, plus GD&T, to ensure manufacturability.</li> <li><strong>Cross-Functional Collaboration</strong>: Partner with Electrical Engineering (circuitry and hermetic feedthrough integration), Neurosurgeon/Neurologist, and Clinical/Regulatory teams.</li> <li><strong>V&V</strong>: Draft test protocols and execute/manage mechanical testing (tensile, flex-fatigue, leak, environmental stress cracking) to meet FDA and ISO 14971 standards. Own reliability testing DOEs beyond V&V to explore/capture corner cases failure modes.</li> <li><strong>DFM/DFA</strong>: Develop and refine processes for laser welding, micro-molding, and automated assembly of sub-millimeter components with CM partners.</li> </ul> <h3>Qualifications</h3> <ul> <li>Bachelor's degree in Mechanical Engineering, Biomedical Engineering, or Materials Science (Master's or Ph.D. preferred).</li> <li>7+ years of mechanical design experience, ideally with Class III active implantable medical devices, including taking designs through V&V, DFM, and into production</li> <li>Demonstrated experience managing or partnering with contract manufacturers on process transfer, tooling qualification, and scale-up</li> <li>Advanced proficiency in SolidWorks, PTC Creo, or equivalent 3D modeling software</li> <li>Deep understanding of micro-machining, injection molding, hermetic sealing, and the mechanical challenges of ultra-flexible, multi-contact implantable components</li> <li>Familiarity with FDA 21 CFR Part 820, ISO 13485, and ISO 14708 (active implantable devices)Meticulous attention to detail, a passion for complex spatial problem-solving, and empathy for the patients who rely on this technology</li> </ul> <h3> </h3><div class="content-pay-transparency"><div class="pay-input"><div class="title">Salary</div><div class="pay-range"><span>$150,000</span><span class="divider">—</span><span>$215,000 USD</span></div></div></div><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2> <ul> <li> <p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p> </li> <li> <p>Competitive compensation, including stock options.</p> </li> <li> <p>Comprehensive benefits package.</p> </li> <li> <p>401(k) program with matching contributions.</p> </li> </ul> <p> </p> <h2>Equal Opportunity Employer</h2> <p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p> </p> <h2>Confidentiality</h2> <p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

Senior Mechanical Engineer

ECHO RESTO OÜ

<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2> <p>Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.</p> <p> </p> <h2>Team Culture</h2> <p>Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.</p></div><h3><strong>Role Overview</strong></h3> <p>We are seeking a Sr. Mechanical Engineer to drive product development of the Echo<br>wearable hardware device. The candidate will be responsible for designing, prototyping,<br>and evaluating custom Echo hardware devices. The candidate will drive manufacturing<br>vendors, and own design verification activities for medical device product development.</p> <h3 class="p1" style="text-align: left;"><br><strong>Primary Role and Responsibilities</strong></h3> <ul> <li>Design and prototype mechanical components and assemblies including rapid<br>prototyping, machining, injection molding</li> <li>Develop component and assembly drawings including tolerance stack-ups and<br>analyses</li> <li>Identify and manage manufacturing vendors of components and assemblies</li> <li>Perform simulations and analysis (FEA, thermal, etc) with vendors to drive design<br>decisions</li> <li>Develop custom electromechanical systems for characterization and testing of<br>assemblies and components</li> <li>Develop and execute design verification activities</li> </ul> <h3>Qualifications</h3> <ul> <li>Bachelor's degree in Mechanical Engineering, Product Design, or related field</li> <li>Minimum 7 years of post-academic, industry experience in product development of electro-mechanical hardware devices </li> <li>Experience with, and inclination toward hands-on rapid prototyping</li> <li>Experience designing mechanical components for manufacturing such as plastic or metal parts, mechanical assemblies, printed circuit boards, cables</li> <li>Experience selecting and working with component and contract manufacturers</li> <li>Experience with dimensioning and tolerance analyses</li> <li>Minimum 7 years of experience using computer-aided design (CAD) tools such as Solidworks including concept development, detailed design, and corresponding assembly drawings</li> <li>Experience with analysis tools for thermal, and structure analyses (eg: FEA, ANSYS, etc)</li> <li>Experience developing and implementing custom electro-mechanical test systems (eg: mechanical fatigue testing, reliability testing, tensile testing, etc)</li> <li>Experience working within a quality system</li> </ul> <h3><strong>Other Qualifications</strong></h3> <ul> <li>Master's degree in Mechanical Engineering, or a related field</li> <li>Knowledge of medical device development processes, including design controls, risk management, and regulatory compliance for medical devices</li> <li>Strong collaboration mindset</li> <li>Superior written and verbal communication skills</li> <li>Occasional travel to vendors (<10%)</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="title">Salary</div><div class="pay-range"><span>$150,000</span><span class="divider">—</span><span>$215,000 USD</span></div></div></div><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2> <ul> <li> <p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p> </li> <li> <p>Competitive compensation, including stock options.</p> </li> <li> <p>Comprehensive benefits package.</p> </li> <li> <p>401(k) program with matching contributions.</p> </li> </ul> <p> </p> <h2>Equal Opportunity Employer</h2> <p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p> </p> <h2>Confidentiality</h2> <p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

Senior Machine Learning Engineer

ECHO RESTO OÜ

<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2> <p>Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.</p> <p> </p> <h2>Team Culture</h2> <p>Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.</p></div><h2>Job Description</h2> <p>We are seeking a Senior Machine Learning Engineer to design, scale, and deploy clinical-grade ML algorithms in the cloud. In this high-impact individual contributor role, you will take ownership of translating complex, neurophysiological signals into production-ready predictive models and automated diagnostic features. You will build and deploy cloud-based models, ensuring data is processed with high reliability, low latency, and strict regulatory compliance.</p> <h2>Role Responsibilities</h2> <ul> <li><strong>Algorithm Productionization & Cloud Deployment:</strong> Design, build, and deploy scalable ML pipelines and clinical algorithms in the cloud to process real-time and batch neural and contextual data.</li> <li><strong>Advanced Model Architecture & Decoding:</strong> Design and build state-of-the-art transformers and deep learning models to decode complex neurophysiological signals into real-time control streams for digital devices.</li> <li><strong>Model Optimization & Validation:</strong> Train, evaluate, and optimize machine learning models for signal processing, feature extraction, and behavior detection while maintaining high sensitivity and specificity.</li> <li><strong>Model Deployment & Pipeline Integration: </strong>Architect scalable pipelines to deploy and integrate production models into the cloud environment, managing model automated training, data versioning, and performance monitoring.</li> <li><strong>Cross-Functional Collaboration:</strong> Work closely with data scientists, software & firmware engineers, clinical researchers, and regulatory specialists to translate research-validated algorithms into commercial software features.</li> <li><strong>Quality & Regulatory Compliance:</strong> Author software design specifications, risk analyses, and validation protocols to support FDA submissions under strict quality management systems.</li> </ul> <h2>Role Qualifications</h2> <h3>Required Qualifications</h3> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Data Science, Biomedical Engineering, or equivalent practical experience.</li> <li>5+ years of software engineering experience focusing on building, deploying, and maintaining production machine learning models in cloud environments.</li> <li>Strong proficiency in Python and modern ML frameworks (e.g. PyTorch) along with experience in cloud-native technologies (e.g. Docker).</li> <li>Solid foundation in digital signal processing (DSP), time-series analysis, or processing high-dimensional biological/medical sensor data.</li> <li>Demonstrated understanding of data privacy, security standards (HIPAA, SOC 2), and medical device software lifecycles (IEC 62304, ISO 13485).</li> <li>Excellent communication skills and a track record of driving technical execution independently in a fast-paced environment.</li> </ul> <h3>Preferred Qualifications</h3> <ul> <li>Experience developing Software as a Medical Device (SaMD) or clinical decision support algorithms.</li> <li>Hands-on experience with MLOps tools such as Weights & Biases.</li> <li>Familiarity with streaming data platforms for real-time sensor processing.</li> <li>Experience writing Python/C++ bindings or optimizing cloud algorithm latency for real-time applications.</li> </ul> <h2 class="p1"><br><br></h2><div class="content-pay-transparency"><div class="pay-input"><div class="title">Salary</div><div class="pay-range"><span>$170,000</span><span class="divider">—</span><span>$220,000 USD</span></div></div></div><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2> <ul> <li> <p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p> </li> <li> <p>Competitive compensation, including stock options.</p> </li> <li> <p>Comprehensive benefits package.</p> </li> <li> <p>401(k) program with matching contributions.</p> </li> </ul> <p> </p> <h2>Equal Opportunity Employer</h2> <p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p> </p> <h2>Confidentiality</h2> <p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

ML Infrastructure Engineer

ECHO RESTO OÜ

<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2> <p>Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.</p> <p> </p> <h2>Team Culture</h2> <p>Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.</p></div><h2>SUMMARY</h2> <p>We are seeking a Senior Machine Learning Infrastructure Engineer to join our team. The person who fills this role will design, build, and scale infrastructure to power massive-scale data, modeling, and analysis platforms, playing a critical role in shaping a high-performance, production-grade ML ecosystem to support rapid experimentation with diverse datasets spanning neural signals, behavior, and more. This person will have significant ownership over the ML R&D platform, working closely with domain experts to architect new cloud infrastructure, data pipelines, and modeling flows. The work will ultimately enable the development of cutting-edge models for neuroscientific discovery and neural decoding, empowering brain-computer interface technology to improve the lives of patients living with severe neurological conditions.</p> <p> </p> <h2>PRIMARY ROLE AND RESPONSIBILITIES</h2> <ul> <li>Create flexible and performant ML infrastructure <ul> <li>Design and build systems ML cloud infrastructure to enable massive-scale modeling and analytics</li> <li>Support diverse model exploration, hyperparameter optimization, pretraining, fine-tuning, and evaluation processes</li> <li>Design and optimize scalable distributed training pipelines, with support for features such model sharding, cross-GPU communication, and real-time training monitoring</li> <li>Create, operate, and maintain robust ML platforms and services across the model lifecycle</li> <li>Make informed architecture decisions that balance performance, cost, reliability, and scalability</li> </ul> </li> <li>Build diverse and scalable data platforms <ul> <li>Design, build, and optimize massive-scale databases and data pipelines for scalable, flexible, and reliable data access</li> <li>Explore research-driven, tailored data solutions using existing and simulated data, comparing performance and efficiency across solutions for typical data-access patterns</li> <li>Create infrastructure and pipelines for ingesting internal and external datasets with varied shapes, formats, and associated metadata</li> <li>Design and assess custom data formats for efficient storage and slicing of high-dimensional time-series data</li> <li>Enable efficient data movement, preprocessing, and artifact management for data lineage and modeling reproducibility</li> </ul> </li> <li>Meet company standards for delivered solutions <ul> <li>Establish best practices for reliability, observability, reproducibility, and operational excellence across the ML ecosystem</li> <li>Make informed and collaborative decisions with domain experts across the software & ML teams</li> <li>Foster visibility and reproducibility within the company by maintaining extensive documentation of design decisions, evaluations of viable alternatives for selected solutions, pipeline assessments, etc.</li> <li>Support ML R&D operations while preparing for eventual incorporation into product pipelines</li> </ul> </li> </ul> <h2>QUALIFICATIONS</h2> <ul> <li>Bachelor's degree in Computer Science, Electrical Engineering, or a related technical discipline</li> <li>5+ years of industry experience in software engineering, large-scale data infrastructure, or systems ML</li> <li>Extensive proficiency in Python</li> <li>Familiarity with PyTorch</li> <li>Experience designing, building, and maintaining high-throughput data pipelines for large and diverse datasets</li> <li>Experience working with distributed-training frameworks (e.g. FSDP, DeepSpeed, Megatron-LM, Ray, etc.)</li> <li>Experience building or optimizing ML training pipelines for transformers or other large neural-network models</li> <li>Demonstrated ability to partner closely with research and modeling teams to productionize workflows</li> <li>Excellent communication and collaboration skills to work effectively on cross-functional and interdisciplinary teams</li> <li>Experience having technical ownership over at least one successfully implemented collaborative project</li> </ul> <h2>OTHER QUALIFICATIONS</h2> <ul> <li>Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical discipline</li> <li>Proficiency in C++, Go, CUDA, Rust, and/or Java</li> <li>Experience in data engineering and systems ML for time-series data</li> <li>Deep understanding of the fundamentals of distributed systems, including scalability, fault tolerance, monitoring, observability, scheduling, performance tuning, and resource management</li> <li>Experience with cloud-native environments and orchestration (Kubernetes, Docker, etc.)</li> <li>Experience scaling foundation-model training infrastructure or multi-cluster computing environments</li> </ul><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2> <ul> <li> <p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p> </li> <li> <p>Competitive compensation, including stock options.</p> </li> <li> <p>Comprehensive benefits package.</p> </li> <li> <p>401(k) program with matching contributions.</p> </li> </ul> <p> </p> <h2>Equal Opportunity Employer</h2> <p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p> </p> <h2>Confidentiality</h2> <p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

Applied AI Scientist, Language + Context

ECHO RESTO OÜ

<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2> <p>Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.</p> <p> </p> <h2>Team Culture</h2> <p>Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.</p></div><h2>SUMMARY</h2> <p>We are seeking an experienced Applied AI Scientist, with a focus on language & context modeling, to join our team. The person who fills this role will apply ML/AI principles and practices to designing, developing, fine-tuning, personalizing, and miniaturizing flexible language and context models for use within brain-computer interface applications to have real-world impact on patients with physical disabilities.</p> <h2>PRIMARY ROLE AND RESPONSIBILITIES</h2> <ul> <li>Language modeling <ul> <li>Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissection</li> <li>Explore a variety of LM strategies of various scales and complexities for tailored integration into other decoding pipelines</li> <li>Characterize agentic AI tools for suitability in product user interfaces</li> </ul> </li> <li>Context modeling <ul> <li>Design and build ML pipelines capable of performing flexible, real-time inference with multiple input streams</li> <li>Deploy custom or off-the-shelf state-of-the-art models for parsing audio, video, and application states</li> <li>Perform context engineering to aggregate and model contextual information for use in downstream decoders</li> </ul> </li> <li>General ML practices & company standards <ul> <li>Model dissection and interpretability to extract information-rich latent representations from large models (e.g. pretrained foundation models) for broad and generalized use in other models</li> <li>Model miniaturization for low-latency and computationally inexpensive processing</li> <li>Work collaboratively and effectively within a small, cross-functional team to hit both R&D and product-focused goals</li> <li>Maintain versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility</li> <li>Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products</li> </ul> </li> </ul> <p> </p> <h2>QUALIFICATIONS</h2> <ul> <li>Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field</li> <li>A minimum of 5 years of combined academic and professional ML experience</li> <li>Experience deploying ML models in an industry setting</li> <li>Experience designing, developing, and deploying LM models in an industry setting</li> <li>Experience designing, training, and evaluating transformers</li> <li>Proficiency in Python and PyTorch</li> <li>Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines</li> </ul> <h2> OTHER QUALIFICATIONS</h2> <ul> <li>Experience working with reinforcement learning, LLM alignment and safety, and multilingual modeling</li> <li>Experience developing foundation models and applying transfer-learning techniques</li> <li>Experience working with high-dimensional time-series datasets</li> <li>Experience working on medical or clinical applications</li> <li>Experience translating methods described in scientific publications to available datasets</li> <li>Experience working with speech-recognition, video-processing, and application-parsing models</li> </ul><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2> <ul> <li> <p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p> </li> <li> <p>Competitive compensation, including stock options.</p> </li> <li> <p>Comprehensive benefits package.</p> </li> <li> <p>401(k) program with matching contributions.</p> </li> </ul> <p> </p> <h2>Equal Opportunity Employer</h2> <p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p> </p> <h2>Confidentiality</h2> <p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

Applied AI Scientist

ECHO RESTO OÜ

<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2> <p>Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.</p> <p> </p> <h2>Team Culture</h2> <p>Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.</p></div><h2 class="p1">Job Summary</h2> <p class="p1">We are seeking an experienced Applied AI Scientist to join our team. The person who fills this role will apply ML & AI principles and practices to large datasets of time-series data and associated metadata to create powerful encoding and decoding models to interpret and understand brain activity, which will drive scientific discovery as well as product implementations to have real-world impact on patients with physical disabilities.</p> <p class="p1"> </p> <h2 class="p1">Key Responsibilities</h2> <ul> <li class="p1">Modeling brain data and associated metadata to obtain insights into existing and future datasets and implement high-performance inference and translation pipelines</li> <li class="p1">Designing and creating state-of-the-art transformers and other ML models to decode brain signals into control signals for digital devices</li> <li class="p1">Keeping up with the latest AI techniques and being able to quickly assess the relevance and utility of these techniques, including with prototypical evaluations with company datasets</li> <li class="p1">Working collaboratively within a small team to explore and iterate on models, design the company's data-science platforms, and integrate ML models into product applications</li> <li class="p1">Maintaining versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility</li> <li class="p1">Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products</li> </ul> <h2 class="p1">Required Qualifications</h2> <ul> <li class="p1">Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field</li> <li class="p1">A minimum of 5 years of combined academic and professional ML experience</li> <li class="p1">Experience designing, developing, and deploying ML models in an industry setting with large-scale, distributed ML platforms</li> <li class="p1">Experience designing, training, and evaluating transformers</li> <li class="p1">Experience working with high-dimensional time-series data, state-space models, or foundation models</li> <li class="p1">Proficiency in Python and PyTorch</li> <li class="p1">Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines</li> </ul> <h3 class="p1">Preferred Qualifications</h3> <ul> <li class="p1">Experience working on medical or clinical applications</li> <li class="p1">Experience translating methods described in scientific publications to available datasets</li> </ul><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2> <ul> <li> <p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p> </li> <li> <p>Competitive compensation, including stock options.</p> </li> <li> <p>Comprehensive benefits package.</p> </li> <li> <p>401(k) program with matching contributions.</p> </li> </ul> <p> </p> <h2>Equal Opportunity Employer</h2> <p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p> </p> <h2>Confidentiality</h2> <p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

Full-stack tarkvaraarendaja

Talent Acquisition Partner

Milrem Robotics

<p><span>At Milrem Robotics, we build some of the most advanced robotics and autonomous systems in Europe. Behind that technology are highly specialised engineering teams, and finding the right people to join them requires much more than matching CV keywords to a job description.</span></p><div><p><span>We are looking for an experienced <strong>Talent Acquisition Partner</strong> to join our <strong>People & Culture team</strong> and take ownership of recruitment projects across Milrem Robotics globally.</span><br></p></div><div><p><span>This role is for someone who enjoys getting beneath the surface of a technical profile. You can understand what engineering teams actually need, navigate complex talent markets and recognise relevant expertise even when a candidate’s job title does not perfectly match the role we are hiring for.</span></p></div><div><h5><span>What you will do</span></h5></div><div><ul><li><p><span>Manage and deliver end-to-end recruitment projects, including international recruitment initiatives.</span></p></li></ul></div><div><ul><li><p><span>Develop effective sourcing approaches and build talent pipelines for critical and hard-to-fill roles, proactively identifying and engaging candidates through direct search and headhunting.</span></p></li></ul></div><div><ul><li><p><span>Partner closely with hiring managers to understand their teams, technical challenges and real hiring needs - advising and constructively challenging where needed.</span></p></li></ul></div><div><ul><li><p><span>Help shape and implement Milrem Robotics’ recruitment strategy and continuously improve our recruitment processes and practices.</span></p></li></ul></div><div><ul><li><p><span>Strengthen our employer brand and represent Milrem Robotics at relevant recruitment events and activities.</span></p></li></ul></div><div><h5><span>You’ll thrive in this role if you...</span></h5></div><div><ul><li><p><span>Bring 5+ years of Talent Acquisition experience and confidently own the full recruitment cycle.</span></p></li></ul></div><div><ul><li><p><span>Know how to recruit senior and specialised Engineering and Technology talent in an international environment.</span></p></li></ul></div><div><ul><li><p><span>Navigate technical conversations confidently, asking the right questions and recognising relevant expertise.</span></p></li></ul></div><div><ul><li><p><span>Excel at direct sourcing and headhunting, reaching talent beyond obvious profiles and standard searches.</span></p></li></ul></div><div><ul><li><p><span>Build strong partnerships with hiring managers, confidently advising, influencing and constructively challenging.</span></p></li></ul></div><div><ul><li><p><span>Bring recruitment experience from robotics, defence, automotive, aerospace, embedded systems or other complex engineering environments.</span></p></li></ul></div><div><h5><span>Why Milrem Robotics?</span></h5></div><ul><li><p><span>Because the recruitment challenges here are genuinely interesting.</span></p></li><li><p><span>Our teams bring together expertise in software, robotics, autonomy, electronics, systems engineering, mechanical engineering and other disciplines to develop technology that has to perform in the real world.</span></p></li><li><p><span>For Talent Acquisition, that means going beyond conventional recruitment. You will need to understand emerging and specialised areas of expertise, find talent in competitive markets and work closely with technical leaders to determine what they really need.</span></p></li><li><p><span>You will have the opportunity to influence how we hire, build talent pipelines for critical expertise and help develop recruitment practices across an international and growing organisation.</span></p></li></ul><div><p></p></div><div><p><span>Location: <strong>Tallinn or Tartu</strong>, Estonia</span><br></p></div><div><p><span>Additional information: Please submit your application by <strong>13 September 2026</strong> at the latest. <br>We review applications continuously and may contact qualified candidates for interviews before the official deadline.</span><br><br>Don’t forget to read more about working at Milrem: <a target="_blank" href="http://careers.milrem.com"><strong>careers.milrem.com</strong></a><strong> </strong><br></p></div>

Senior Full Stack Developer

Wise

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How we work: The Scam Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. What will you be working on?: This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: Building and refining critical controls to prevent Wise customers from scams. Drive Backend and Frontend for our scam prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. Qualifications Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

Fullstack Engineer

Wise

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role About the role: Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How we work: The Scam Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. What will you be working on?: This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: Building and refining critical controls to prevent Wise customers from scams. Drive Backend and Frontend for our scam prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. Qualifications Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

QA Lead

DefSecIntel

<p><strong>Who we are:</strong></p><p>At DefSecIntel Solutions, we protect what matters by building systems that operate where failure is not an option.</p><p>We deliver combat-proven, end-user-driven defence and security solutions for Europe’s border security, defence, and critical infrastructure protection. Our platforms are designed for real operational environments and are already trusted in the field.</p><p>We develop, manufacture, and integrate mobile autonomous surveillance systems, unmanned surface vessels, and counter-UAS solutions, all connected through AI-powered command-and-control.</p><p>With a talented team of 70+ people, DefSecIntel is headquartered in Tallinn, Estonia, with additional manufacturing and maintenance capabilities in Ukraine.</p><p>We work closely with leading international partners including the EU and NATO, and contribute to major defence R&D programmes such as the European Defence Fund.</p><p>Join us to build mission-ready systems for today’s needs and tomorrow’s challenges, and help shape the future of Europe’s security.<br><br><strong>We are looking for a </strong><span><strong>QA Lead</strong> to lead our quality assurance activities across Engineering. You will combine hands-on testing with team leadership, taking ownership of QA processes and helping us continuously improve product quality. The role also offers an opportunity to develop our QA practices and move towards greater test automation and CI/CD integration.</span></p><p></p><p><strong>What you will be doing</strong>:</p><ul><li><p><span>Lead and plan the QA team’s work and resources (team of 2 QA Engineers).</span></p></li><li><p><span>Ensure QA is involved early in development and tender analysis.</span></p></li><li><p><span>Plan and coordinate regular software releases and field testing.</span></p></li><li><p><span>Review requirements and acceptance criteria to define testing scope.</span></p></li><li><p><span>Perform and oversee testing of software and hardware systems, including on-site field testing.</span></p></li></ul><p></p><p><strong>What we are looking for:</strong></p><ul><li><p><span>5+ years of QA experience with software-intensive products, including 2+ years leading a team or acting as a Test Lead.</span></p></li><li><p><span>Experience testing software-hardware systems such as embedded/edge, IoT, sensors, or comparable.</span></p></li><li><p><span>Hands-on experience with Python test automation (pytest or similar) and API testing.</span></p></li><li><p><span>Strong analytical skills and experience with SQL and Excel.</span></p></li><li><p><span>Experience with requirements-based verification, traceability, test plans, test cases, and test reporting.</span></p></li><li><p><span>Experience with defect tracking tools such as JIRA, YouTrack, etc.</span></p></li><li><p><span>Strong communication skills and a proactive, independent approach to work.</span></p></li><li><p><span>Willingness to travel and work outdoors during field trials.</span></p></li></ul><p></p><p><strong>What we offer</strong>:</p><ul><li><p>Meaningful work that supports our mission to create a safer and more secure world</p></li><li><p>The opportunity to work with a talented team and contribute to the development of innovative technologies and solutions</p></li><li><p>Flexibility in how and where you work, depending on role and project needs</p></li><li><p>Opportunities for professional growth and skills development as the company and projects evolve</p></li><li><p>Recognition for helping grow the team through employee referrals</p></li><li><p>A focus on employee well-being, including access to health- and sports-related benefits</p></li><li><p>Social activities and team events that strengthen collaboration and team spirit</p></li></ul><p><span>If you do not meet all the requirements but believe you could still excel in this role, we encourage you to apply regardless. We are always eager to engage with individuals who resonate with our mission!</span></p>

WordPress / WooCommerce

Senior Data Analyst, Rides

Bolt

As a Senior Data Analyst in the Central Operations Analytics team, you sit between business stakeholders and the data repo - translating operational questions into accurate, documented datasets and Looker explores that analysts and operators can self-serve. You own everything between marts/facts and the BI layer, and are a sparring partner to the operations analysts and business teams across Rides, Delivery, and wider verticals.

Cybersecurity Engineer, Internal Security

Bolt

At Bolt, Internal Security focuses on detecting, preventing, and collaborating with relevant teams on mitigating security vulnerabilities across Bolt’s infrastructure. In addition, the Internal Security team is expected to monitor and detect anomalies in user and entity behavior and build capabilities to prevent unauthorized actions both from internal users as well as external adversaries. Bolt uses the latest technologies, which makes it necessary to understand the latest methods and tools for detection and prevention, as well as attack methods. As a Cybersecurity Engineer focusing on internal security at Bolt, you will have the opportunity to explore security on multiple tech stacks across our platforms. You'll have the possibility to find novel solutions to secure novel needs of user and entity management with support from dedicated teams.

Cybersecurity Engineer, Internal Security

Bolt

At Bolt, Internal Security focuses on detecting, preventing, and collaborating with relevant teams on mitigating security vulnerabilities across Bolt’s infrastructure. In addition, the Internal Security team is expected to monitor and detect anomalies in user and entity behavior and build capabilities to prevent unauthorized actions both from internal users as well as external adversaries. Bolt uses the latest technologies, which makes it necessary to understand the latest methods and tools for detection and prevention, as well as attack methods. As a Cybersecurity Engineer focusing on internal security at Bolt, you will have the opportunity to explore security on multiple tech stacks across our platforms. You'll have the possibility to find novel solutions to secure novel needs of user and entity management with support from dedicated teams.

Staff Product Manager, Foundation

Bolt

We're looking for a platform-minded Staff Product Manager to drive the strategy and execution of Bolt's Foundation, the developer, AI, and productivity platforms that thousands of people across Bolt build things on every day. Our mission is to make time-to-market exceptionally fast, with tooling that's efficient and reliable for every internal builder, technical and non-technical alike. You'll wear product and engineering hats at once: shaping the Foundation strategy, defining measurable success metrics, and driving execution through clear milestones. Building strong partnerships with cross-domain and cross-functional stakeholders and influencing their decisions will also be central to the role. This is the founding product management role in Foundation. You'll own how the product process gets built and scaled here, from discovery and requirements through stakeholder input, prioritisation and go-to-market.

Senior Data Engineer

Bravo Catering OÜ

Senior Data Engineer will own the end-to-end data architecture. You will build and scale high-throughput, low-latency pipelines that handle sensitive financial transactions, fraud detection, risk modeling, and regulatory compliance data. In a startup environment, this means wearing multiple hats: acting as a system architect, hands-on builder, and key collaborator with product, risk, analytics, and executive teams. Responsibilities Architecture & Scalability: Design, build, and optimize scalable batch and real-time streaming data pipelines (ETL/ELT) to process millions of financial events. ·Financial Data Infrastructure: Build secure data lake houses and warehouses for transactions, ledger entries, risk metrics, and customer interaction data. Compliance & Governance: Implement strict data security, encryption (at rest and in transit), PII masking, and access controls to comply with SOC2, PCI-DSS, GDPR, and financial regulatory standards. Data Quality & Observability: Build automated testing, reconciliation frameworks, and real-time monitoring to guarantee zero-data-loss and auditability. Cross-Functional Ownership: Partner with product managers, quantitative risk analysts, machine learning engineers, and finance teams to power real-time fraud engines, credit scoring models, and executive dashboards. Qualifications & Requirements 3 years in software or data engineering with a track record of handling high-volume production data. Strong Fintech / High-Growth DNA: You thrive in fast-moving, high-autonomy environments where you ship clean, production-grade code. Proven Stack Mastery: · Languages: Advanced Python and/or Scala, plus expert SQL. · Streaming & Processing: Hands-on experience with Kafka, Spark, or Flink. · Warehousing & Orchestration: Snowflake, Databricks, or BigQuery + Airflow or Dagster. · Infrastructure as Code: Docker, Kubernetes, Terraform, AWS or GCP. Precision Mindset: Deep appreciation for financial data accuracy, idempotent pipelines, and strict schema management.

Technical Recruiter (FTC contract)

Wise

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role What You’ll Do Manage the end-to-end recruitment process, from sourcing to closing, ensuring a seamless experience for candidates and hiring managers. Partner with hiring teams to understand their needs, define hiring strategies, and make data-driven decisions. Source and engage top engineering talent, using creative approaches beyond traditional job boards. Ensure a best-in-class candidate experience, building long-term relationships and a strong talent pipeline. Collaborate with Employer Branding and Marketing teams to support recruitment campaigns and events. Use data to drive hiring decisions, identifying blockers and optimizing processes for scalability. Work closely with the People team to align hiring with onboarding, talent mapping, and compensation benchmarking. Qualifications What We’re Looking For 2 years of in-house recruiting experience, ideally in tech or product roles. Proven ability to source and attract top talent, using innovative and data-driven approaches. Strong stakeholder management skills, with the ability to build trust and influence hiring decisions. Adaptability in a fast-paced environment, with a proactive and problem-solving mindset. Excellent communication and relationship-building skills, ensuring a positive experience for candidates and teams. Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram . Apply For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .