Biomedical engineer work from home jobs - 435 jobs

We're building the creative layer for modern communication. Every month, over a billion people make presentations - but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market. 📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day. 💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste. 💸 We've reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023. 💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity. About the role You'll own the quality of AI across everything Gamma creates. As our Research Engineer, you'll design evaluation frameworks that measure AI output quality, systematically improve production prompts, and fine‑tune models to ensure millions of users get exceptional results every time they generate content with Gamma. This role sits at the intersection of research rigor and product impact. You'll diagnose failure patterns in AI‑generated presentations, docs, and websites, then craft targeted improvements through iterative experimentation. You'll build the tools and workflows that enable rapid testing, validate changes against quality benchmarks, and ensure our AI gets smarter with every iteration. If you're obsessed with output quality and love the challenge of making AI systems work beautifully at scale, this is your role. You'll succeed here if you combine deep technical expertise with a research‑oriented mindset. You need to be comfortable working in ambiguity, designing experiments that reveal model behavior, and iterating toward solutions that measurably improve quality. Exceptional attention to detail is essential, as is the ability to care about dimensions of quality that others might overlook. Our team has a strong in‑office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance. Systematically improve production prompts through iterative experimentation-diagnosing failure patterns, crafting targeted improvements, and validating against quality benchmarks. Conduct rigorous experiments to understand model behavior, analyze results, and derive insights that inform prompt and model improvements. Build tools and workflows to support rapid experimentation and quality analysis, enabling faster iteration on AI improvements. Fine‑tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low‑quality outlines. Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale. What you'll bring 1-2+ years working with AI systems with demonstrated experience shipping production‑grade AI products. Deep hands‑on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs. Strong experimental mindset with ability to design tests, analyze model performance, and iterate toward quality improvements. Experience with post‑training techniques for LLMs including reinforcement learning and supervised fine‑tuning. Research‑oriented approach to problem‑solving with comfort working in ambiguity and exploring novel solutions to AI quality challenges. Exceptional attention to detail and quality obsession-cares deeply about output quality across all dimensions, including less visible aspects. Bachelor's degree in Computer Science, Machine Learning, or related field, or equivalent hands‑on experience with AI research and experimentation (Nice to have). Compensation range Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people. We're building on a full Typescript stack centered around some of the most modern and popular technologies. We use our own custom, open‑source AI prompting framework, AIJSX. We have a lot of custom tools built in house, but also new ones like Vercel AI SDK. Our tiny team operates at massive scale: 1M+ 70M users around the world 6M+ AI images generated daily 1 trillion LLM tokens processed per month Life at Gamma You get energy from small teams doing big things. You love when design, code, and storytelling overlap. You default to action, even when the answer isn't clear yet. You value details, but know when to ship and move on. You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn. You believe AI should amplify creativity, not replace it. You know kindness and intensity are not opposites. You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen. Who we are Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It's the kind of place where you'll debate a pixel on Monday, laugh over someone's keyboard setup on Tuesday, and ship something remarkable by Friday. We care about craft, move with intention, and don't mind getting a little scrappy. It's fast, creative, and occasionally chaotic - but that's what makes it interesting. Here's a bit about what it's like to work here, from people on the inside: We asked the team what makes Gamma, Gamma. Here were some of their answers: "quirky, inspiring, fun, a little wild in the best way" "You can have an idea and just run with it." "Everyone's talented and humble - the mix keeps you sharp." "We ship cool stuff, learn a ton, and laugh a lot doing it." Meet the team We're a team of dreamers and doers building in beautiful San Francisco 🌉 We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more - and we can't wait to meet you! #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194 M in equity and $340 M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position: At Parafin, Product Engineers are the implemented product experts. We bridge design, product, and backend, which means we're responsible for making sure everything actually works the way it should. We are care about things beyond the specs like understanding why features exist, who uses them, and what problems they solve. You'll own the entire frontend: every transition, every edge case, every state change that happens between a user's action and what appears on their screen. You don't need to know our exact stack coming in, but you should be strong with JavaScript fundamentals and have shipped real products with React and TypeScript. What you'll do: Build polished experiences at scale. Work with design to ship great UI/UX, but also own the less visible stuff that matters like page speed, cross-browser support, mobile responsiveness. Master the product. Develop deep expertise and opinions in what we're building. Work with product and design to shape what we build, not just execute on specs. Instrument and optimize. Implement observability for user interactions, core web vitals, and perceived performance. Craft frontend and product infrastructure. Contribute to build systems, dev tooling, and deployment pipelines. Advocate for a better developer experience. Build internal tools that help the team move faster. Who you are: 2‑3+ years of experience working in a frontend engineering role You have an eye for design. You have track record of creating beautiful experiences for the web. You care deeply about user experience and have an understanding of what might make one UI better than another. You think in systems. You build infrastructure that makes future features easier. You know when to generalize and when to keep things specific. You're a self-starter. You enjoy building 0 to 1. You're always looking for things that could use some TLC and finding ways to make them better without asking permission. You care about the details. You care about micro-interactions. You think about what happens when the network is slow, when data is missing, or when users do unexpected things. You're a good teacher. You know how to explain ideas and trade-offs cross-functionally. You have opinions. You have thoughts on different state management approaches, how to structure provider hierarchies, and whether that hook should be extracted or kept inline. You can articulate why you'd choose one abstraction pattern over another. You're always learning. You've tried various coding and AI tools just out of curiosity. You want to know what the latest and greatest are and what problems they solve. What We Offer: Salary Range: $190k-$225k Equity grant Medical, dental & vision insurance Work from home flexibility Unlimited PTO Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

Who is Recruiting from Scratch:Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.https://www.recruitingfromscratch.com/Product Engineer Location: San Francisco, CA (Mission District) Company Stage: YC W22 backed, $18.5M in funding Office Type: Onsite Salary: $140,000 - $200,000 + Equity (0.1% - 0.3%) Company Description Our client is a fast-growing developer documentation platform reaching over 20 million developers annually. They power the documentation of 3,500+ companies, including major tech players and over 20% of the most recent Y Combinator batch. Founded in 2022 and headquartered in San Francisco, they've established themselves as the modern standard for documentation in the tech industry. What You Will Do Own and drive features from conception to completion with a high degree of autonomy Create tasteful, intuitive user experiences that developers love Collaborate across teams to ship impactful products Balance customer relationships with feature development Have plenty of heads-down builder time in a team environment where the best ideas win Work with TypeScript, Next.js, and React to build scalable frontend solutions Ideal Candidate Background 2+ years of experience in full-stack software engineering with frontend emphasis Experience building features from 0 to 1 Strong portfolio demonstrating excellent user design sense and high-level craftsmanship Experience with React, Next.js, and TypeScript Strong communication skills and ability to work well on a team Drive to build amazing products and solve problems efficiently Preferred Experience working at early-stage, VC-backed startups Already located in the San Francisco area Familiarity with modern CSS component libraries and design trends Experience with documentation tools or developer-focused products Compensation & Benefits Competitive salary: $140,000 - $200,000 Equity package: 0.1% - 0.3% 20 days paid time off annually 401k benefits Free lunch and dinners $420/month wellness stipend Annual team offsite Visa sponsorship available (O1, TN, and H1B transfers) This role offers a unique opportunity to join a diverse, growth-oriented team (collectively speaking 12 languages!) that values learning velocity and grit. You'll work in an environment where people think beyond their scope and help others across projects. If you're passionate about creating exceptional developer experiences and want to be part of building the future of documentation, we'd love to connect with you! #J-18808-Ljbffr

A leading consulting firm in the U.S. is seeking a Site Reliability Engineer skilled in building resilient infrastructure and automating processes. You will lead teams, optimize systems, and implement monitoring tools. The ideal candidate has extensive experience in cloud technologies, Unix/Linux, and application troubleshooting, along with a master's degree or equivalent experience. This role offers a competitive salary range between $99,000 and $225,000 annually, with a flexible work model. #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We are looking for a user-focused front-end engineer to join our Lending Products team in San Francisco. In this role, you will help build intuitive and seamless user interfaces that will power the suite of Parafin's financial offerings. The Lending Products team is responsible for crafting the user journey for all of Parafin's financing products. You will collaborate with stakeholders across the company to launch new features and regularly experiment with existing ones to enhance the end-user experience. You will contribute to the development of our core web infrastructure and play a key role in identifying, prioritizing, and implementing frontend improvements that accelerate product development and ensure a high-quality user experience. Responsibilities You will fully own our customer facing web product and drive its development You will help define the product architecture all the way from the technologies we use to design principles that we apply You will frequently talk to our customers to understand their needs and define the product experience You will work closely with our product designers and ensure a high quality bar for our products You will help scale the Parafin team by hiring exceptional talent Requirements 6+ years of experience working in a web engineering role You care deeply about building high quality software and take immense pride in your craft. You are comfortable owning and driving the development of the product from 0 to 1. You have a strong grasp of engineering fundamentals. You have experience working with Javascript, Typescript, Next.js, React, or other similar technologies. You have a strong understanding of functional and reactive programming paradigms. You are excited about working on a small team and helping us set the foundations for the company. What We Offer Salary Range: $235k - $300k Equity grant Medical, dental & vision insurance Unlimited PTO & work from home flexibility Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

🚀 WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We're a fully distributed team with employees across North American time zones. We're well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others. About the role 💭 The Vault team is responsible for building and scaling WorkOS Vault, our developer-friendly encryption key management and secret storage product. Vault enables applications to encrypt, segment, and optionally store highly sensitive data-tokens, passwords, certificates, PII, API keys, files-backed by enterprise-grade encryption and key management infrastructure. The vision for Vault is to make cryptography simple and fast, and the product currently serves tens of millions of encryption requests each day. On this team you'll work on building reliable, high-throughput systems, defining new abstractions for developer-friendly encryption, and crafting APIs that both scale and stay simple. We're looking for Engineers to join this team that are motivated by solving deep security and infrastructure problems, owning high-impact systems end-to-end, and working closely with customers to deliver robust products, Responsibilities ✔️ Architect and implement systems for real-time encryption, secure storage, key-rotation, and data revocation across multi-tenant applications Build deep domain expertise around encryption key management (EKM), envelope encryption, BYOK (Bring Your Own Key), and context-based key isolation Work closely with enterprise customers to understand their compliance, key control, and security requirements-and translate that into features (e.g., key segmentation, audit logs, cryptographic deletion) <> Collaborate cross-functionally with other product teams (e.g., AuthKit, Radar), solutions engineering, and GTM to ensure Vault integrates seamlessly into the broader platform On greenfield opportunities: explore new features such as field-level encryption, e2e encryption, broader HSM integrations, client-side SDK enhancements Help recruit, mentor, and grow the engineering team around Vault's roadmap Qualifications 🌟 5+ years of industry software development experience Experience working on small teams in fast-paced environments Background in building systems that solve for security, encryption, storage, multi-tenant data isolation, or large-scale data platforms Intellectually curious, independently driven, and passionate about great products A growth mindset, high emotional intelligence, and strong communication skills Bonus: Experience with our stack of TypeScript, React, and Postgres Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements. Competitive pay Substantial equity grants Healthcare insurance (Medical, Dental and Vision) for you and your family 401k matching Wellness and fitness monthly allowances PTO + paid holidays + unlimited sick leave Autonomy and flexibility with remote work Please inquire directly with our recruiting team for benefits available to those working outside the US. Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

A global leader in information management is looking for a talented Systems Engineer in Boston. This role requires U.S. Citizenship and the ability to obtain government clearance. Responsibilities include troubleshooting, providing support, and performing system documentation. Ideal candidates will have a Bachelor's degree, strong technical skills, and experience with Windows Server and Linux. The expected salary range is between $93,400 to $124,500, offering opportunities for professional growth in a fast-paced environment. #J-18808-Ljbffr

About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. Knowledge of ML/AI applications and models Knowledge of performance profiling and optimization tools for GPU programming Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming techniques and technologies About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at *******************************

Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts. As a Research Engineer in our Reasoning team, you'll play a crucial role in shaping our technological direction, focusing on our test-time compute scaling research ideas. If you love working with synthetic data and teach LLMs reasoning abilities, this role is for you. For more details about the project you would be working on, check out our outlook on decentralized training in the inference-compute paradigm. Responsibilities Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution Optimize the performance, cost, and resource utilization of AI inference workloads by leveraging the most recent advances for compute & memory optimization techniques. Contribute to the development of our open-source libraries and frameworks for synthetic data generation and distributed RL frameworks. Publish research in top-tier AI conferences such as ICML & NeurIPS. Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers. Stay up-to-date with the latest advancements in AI/ML infrastructure and tools, synthetic data gen research and proactively identify opportunities to enhance our platform's capabilities and user experience. Requirements Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for the inference or training of large-scale AI models. Deep expertise in distributed inference techniques and frameworks (e.g. vllm, sglang) for optimizing the performance and scalability of AI workloads. Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines. Passion for advancing the state-of-the-art in reasoning and democratizing access to AI capabilities for researchers, developers, and businesses worldwide. If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources (here, here and here) and please reach out! Benefits & Perks Competitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect. Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco. Visa sponsorship and relocation assistance for international candidates. Quarterly team off-sites, hackathons, conferences and learning opportunities. Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI. We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others. If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise, with a charter to create new and emerging technology innovations in support of Commercial & Government organizations. We have expertise in RF, EMP, Pulsed Power, Acoustics and Threat Warning Systems, and we prioritize partnering with our customers to address real-world problems with cost-effective solutions… that work. The SARA, Inc. High Power Electromagnetics Division (HPEM) is looking for a highly motivated and skilled Research Engineer with a focus on bioelectromagnetics to join our interdisciplinary team. The ideal candidate will have a strong background in the study of electromagnetic fields and their interaction with biological systems. This role requires a deep understanding of both the theoretical and practical aspects of bioelectromagnetics, applied physics, and related research methodologies. The candidate will contribute to the development of innovative solutions and technologies that advance our understanding and application of electromagnetic principles in various domains including medical devices, health diagnostics, and environmental health. The candidate will have the opportunity to grow and learn with talented engineers, physicists, and technicians on long-standing programs and new programs supporting our customers. Our small group will allow the candidate to experience, contribute, and collaborate in a multidisciplinary nature from conception all the way through to operation. The candidate must be a high-performing engineer with a substantial technical pedigree in Bioelectromagnetics and Applied Physics. Candidates must be strong team participants, have excellent communication skills, be resourceful and creative, and willing to contribute to a multidisciplinary and fast-paced engineering environment. Responsibilities: Design, develop, and test electromagnetic systems and devices for a variety of applications Conduct research on the interaction of electromagnetic fields with biological tissues and develop models to predict these interactions Collaborate with cross-disciplinary teams to integrate electromagnetic systems with other technologies Analyze and interpret data from experiments and simulations and prepare technical reports and presentations Stay abreast of the latest advancements in bioelectromagnetics, applied physics, and related fields Contribute to the writing of proposals and the pursuit of funding opportunities Ensure compliance with relevant regulations and standards in the design and development of bioelectromagnetic, technologies, devices, and systems Collaborate with cross-disciplinary teams to integrate electromagnetic technologies into broader systems, addressing challenges in electromagnetic compatibility and safety Mentor junior engineers and technical staff, fostering a culture of technical excellence and continuous learning Prepare technical documentation, including design specifications, test reports, and operational manuals Technical Skillsets Strong foundation in electromagnetic theory, with hands-on experience in simulation tools like COMSOL Multiphysics, CST, or ANSYS HFSS Proficient in programming languages such as Python or MATLAB for data analysis, modeling, and automation of research processes Knowledge in setting up and conducting experiments, including the use of instrumentation to measure electromagnetic fields and biological responses Ability to perform statistical analysis and visualize data, extracting meaningful insights from complex datasets Strong background in electromagnetic theory and signal processing Understanding of regulatory standards and compliance requirements related to bioelectromagnetic devices Key Competencies Leadership and team management Decision-making and problem-solving Effective communication Time management and organization Mentoring and coaching skills Minimum Requirements: Master's degree in Electrical Engineering, Biomedical Engineering, Physics, or a related field, with a focus on bioelectromagnetics 3 - 5 years of relevant experience in bioelectromagnetic research or engineering Strong foundation in electromagnetic theory and its application to biological systems Proficiency in simulation tools (e.g., COMSOL, CST) and programming languages (e.g., Python, MATLAB) Excellent analytical and problem-solving skills Effective communication skills, both written and verbal, with the ability to work collaboratively in a team environment Must be a US Citizen with the ability to obtain and maintain a Top Secret or equivalent DoD clearance May require moderate physical effort or carrying/lifting up to 50 pounds Working environment is indoor, moderately quiet, reasonably clean, well-lighted, and well-ventilated; moderate physical hazards may exist Available for moderate levels of travel and off-site work Preferred Qualifications: PhD degree in Electrical Engineering, Biomedical Engineering, Physics, or a related field, with a focus on bioelectromagnetics 10 years of relevant experience in bioelectromagnetic research or engineering Demonstrated record of scientific research and publication in peer-reviewed journals Experience with the development and regulatory approval process of medical devices or health technologies Knowledge of additional fields such as electromagnetic field theory, materials science, or bioengineering Experience mentoring and leading teams in a technical capacity Active DoD Secret or Top Secret Clearance SARA offers a competitive benefits package to include: Medical, dental, vision, disability and life insurance; and other supplemental programs A generous PTO program (vacation, sick, holiday) Tuition & certification reimbursement Flexible work schedules Employee bonuses 401(k) match/profit sharing Employee Stock Ownership Plan (ESOP) Pay Range Salary at SARA is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $95,000 to $145,000 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of SARA's total compensation package for employees. Positions are on-site, unless indicated otherwise. Application Deadline: February 11, 2026 SARA is an equal employment opportunity employer.

We are seeking a highly skilled and innovative Research Engineer to conduct applied research, develop prototypes, and support advanced engineering initiatives in a remote work environment. The successful candidate will contribute to the investigation, design, analysis, and validation of new technologies, products, or systems while collaborating with multidisciplinary research and engineering teams. This position is strictly limited to candidates who currently reside in the United States and are legally authorized to work in the U.S. Applications from individuals residing outside the United States will not be considered. Key Responsibilities: Conduct applied research and experimentation to support new product development and technology advancement Design, develop, and test prototypes, models, and simulations Analyze research data and prepare technical reports, publications, and presentations Collaborate with engineering, product, and academic partners to translate research into practical solutions Support grant-funded, government, or internally sponsored research initiatives, where applicable Maintain thorough documentation of research methodologies, results, and findings Ensure research activities comply with organizational standards, ethical guidelines, and regulatory requirements Required Qualifications: Bachelors degree in Engineering, Computer Science, Applied Sciences, or a related technical discipline Minimum of 3-6 years of experience in research engineering, R&D, or applied research roles Strong analytical, problem-solving, and experimental design skills Experience with data analysis, modeling, simulation, or laboratory testing (as applicable) Excellent technical writing and communication skills Ability to work effectively in a remote, collaborative research environment Preferred Qualifications: Masters or Ph.D. degree in a relevant engineering or scientific field Experience with peer-reviewed publications, patents, or funded research projects Familiarity with government or industry research programs Compensation Annual Salary Range: $105,000 - $145,000 USD, commensurate with experience, education, and geographic location Benefits: Comprehensive medical, dental, and vision insurance 401(k) retirement plan with employer matching Paid time off, sick leave, and paid holidays Life, short-term, and long-term disability insurance Professional development, conference participation, and training support Flexible remote work arrangements Employee wellness and assistance programs Work Authorization & Residency Requirement: Must be legally authorized to work in the United States Must currently reside within the United States Applications from candidates residing outside the U.S. will be automatically rejected

Responsibilities Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, DHPC, and Telcordia, we are a self-sustaining research center within Peraton that provides applied research and engineering to enable government agencies, utilities and commercial enterprises to fully exploit the future of communications, analytics and cyber security. Peraton Labs' cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, cyber operations, secure-by-design techniques, and experimentation platforms. Role and responsibility for this position: The Cyber Security Research Engineer will work on cyber security research projects, working as part of a team of highly skilled engineers collaborating to develop, and test innovative prototypes. You will perform one or more of the following tasks: Designing, developing, and testing software modules related to emerging embedded cyber capabilities, high-availability network protocols, cyber mission planning and reasoning systems, data analytics, processing and analysis of high-volume network data. Hardware and software reverse engineering activities against bespoke targets. Development of CI/CD-based testing strategies for developed software modules. Analysis and assessment of multi-dimensional network data to Qualifications Education and Experience: Minimum of 2 years with BS/BA, 0 years with MS/MA Required: U.S. Citizenship Ability to obtain TS/SCI clearance Demonstrated software development expertise Ability and desire to quickly acquire knowledge of new subject matter areas Expertise in one or more of: C, C++, Java, Python, Go, or similar languages Working knowledge of modern development practices and toolsets (Git, subversion, CI/CD toolchains) Desired: Experience developing in and administering Linux A passion to learn something new every day and to stay up to date with developments in your field Adept at independent problem-solving and comfortable with a general approach of taking initiative to find and develop solutions Ability and desire to quickly acquire knowledge of new subject matter areas Working knowledge of modern computer networking technologies Familiarity with modern agile development practices (Scrum and similar) Familiarity with container and orchestration solutions, including Docker, Docker Swarm, Kubernetes, Terraform Experience with Networking Protocols Experience with configuring Network appliances Ability to grasp the “big picture” and see beyond specific problems Program analysis, including program understanding, vulnerability identification, and remediation Why choose us? Variety: You will work on multiple programs. You and your manager will have discussions to ensure your assignments are on track with your growth goals and interest areas. Flexibility: You will have the opportunity for a flexible work schedule. Subject to program requirements, you can set your hours while fulfilling 80 hours every two weeks. Additionally, while classified work requires onsite work, most staff can schedule about 20% of their time as work from home. Value: You will support interesting and challenging projects that are not repetitive or monotonous but rather have novelty and innovation; and great people to learn from and work with - collegial, smart, inspiring. Who we're looking for: Cyber: We are looking for staff with a strong interest (and ideally a track record) in cyber security research and development w/ strong software development skills. Generalists: You'll typically focus your work on the domain(s) of your specialty or preference, but a strong multi-domain awareness and ability is required. You should have a curiosity to learn new technology. Tangible: You'll work on applied research program to conceive and develop prototypes to solve cutting-edge, complex problems. Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

HUD (YC W25) is developing agentic evals for Computer Use Agents (CUAs) that browse the web. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. Our Mission: People don't actually know if AI agents are working. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation infrastructure at scale. About the role We're looking for a research engineer to help build out task configs and environments for evaluation datasets on HUD's CUA evaluation framework. Responsibilities Build out environments for HUD's CUA evaluation datasets, including evals for safety redteaming, general business tasks, long-horizon agentic tasks etc. Deliver custom CUA datasets and evaluation pipelines requested by clients Contribute to improving the HUD evaluation harness, depending on your interests, skills, and current organizational priorities. (Optional, but highly valued!) Experience Technical Skills Proficiency in Python, Docker, and Linux environments React experience for frontend development Production-level software development experience preferred Strong technical aptitude and demonstrated problem-solving ability Strong candidates may have: Startup experience in early-stage technology companies with ability to work independently in fast-paced environments Strong communication skills for remote collaboration across time zones Familiarity with current AI tools and LLM capabilities Understanding of safety and alignment considerations in AI systems Evidence of rapid learning and adaptability in technical environments (e.g. programming competitions) Have hands-on experience with or contributed to LLM evaluation frameworks (EleutherAI, Inspect, or similar) Built custom evaluation pipelines or datasets Worked with agentic or multimodal AI evaluation systems We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria. Representative projects: Creating and solving challenging competitive programming problem-sets Curating large high-quality datasets, especially for research and evaluation of multimodal AI agents Designing complex, functional fullstack applications. Bonus points if they have users / adopters. We prioritise contributions that show quality and quantity, such as building out large, high-quality datasets. Imagine making about ~10 small puzzles in mock web environments a day. Team & Company Details Team Size: ~15 people currently, mostly full-time in-person, but some remote. Our team: Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS etc Company stage: We have received $2 million in seed funding, plus very strong demand and revenue growth beyond that. We are scaling profitably and fast to meet demand. Logistics Employment: Fulltime preferred, but willing to consider part-time/internship arrangements for exceptional candidates. Location: Fully remote-friendly. We already have several fulltime, 100% remote hires. But if you're in the San Francisco Bay Area or Singapore, we do have an office you can work together in. We do prefer applicants who can show up to meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00). Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to USA or Singapore. For part-time/contract/internship arrangements, we'll work fully remote (which makes things simpler anyway). Timeline: Applications are rolling. The process should involve 1 initial call, 1 five-hour take-home assignment and 1 paid, weeklong work trial before final offer. Due to high volume, we may not actively respond to every application, but feel free to contact us at ***************** or elsewhere if we missed your application!

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress. View GDPR Policy ABOUT OUR TEAM You'll join a tight-knit group of engineers and researchers from leading labs and product companies (DeepMind, Palantir, GitHub, among others). The culture is low-ego and high-bar, organized around hard problems. It's a place to learn by building - side-by-side with people who care about craft, rigor, and impact - on challenges that matter and aren't found anywhere else. Very few companies get a seat at this table, and all the ingredients are in place to give us the right to win. Now we just need to execute. ABOUT THE ROLE As an FDRE, you'll be embedded with customers, figuring out how to build real agentic systems to solve hard problems. Hard problems aren't solved from an armchair; the right to solve them comes from experience, resilience, and a little scar tissue, earned by engaging with reality. This role gives you direct exposure to frontier AI R&D and a front-row seat to the most valuable problems and industries on the planet. You'll operate at the intersection of software engineering, applied AI and agent research, and product - designing and deploying high-reliability systems, while feeding signal back into our products and models. RESPONSIBILITIES FDREs work in small teams with the agility and autonomy of a startup, but with the experience and support of an established organization. Among other things, you will * Own the mission end-to-end. Be the technical owner in the field, clarify goals, shape the plan, make the hard calls, and ship systems that move real metrics. * Partner for impact. Work directly with operators and executives to scope what matters most, then turn it into production results. * Build with research in the loop. Collaborate with AI R&D on prompts, tools, and model improvements; bring back field-signals that make the next model, and the platform, better. * Turn wins into a flywheel. Convert patterns into playbooks, products, and libraries so that every deployment is faster, more powerful, and more reliable than the last. WHAT YOU'LL SEE IN THE FIELD These are the kinds of skills and technologies you'll likely use and develop over time. Strong experience in any is a plus, not a prerequisite. We look for spikes! * Software engineering & platforms: Backend services at scale; distributed systems; data/feature pipelines; queues/caching; fault tolerance. * Agentic/LLM systems: multi-agent systems; agent communication/delegation; evals; long-running, fault-tolerant agents; tools/prompt/program design; guardrails. * Evaluation & experimentation: Designing evals; monitoring performance/drift; fundamentals of Data Science/ML; able to turn a hazy problem into a structured exploration. * Cloud & ops: Kubernetes, Docker, IaC (Terraform/CDK), networking, secrets, observability (Grafana/Prometheus/Datadog), CI/CD. * Model ops: Fine-tuning/RL; designing agent environments; managing inference. Enterprise delivery: Security/compliance, data governance, integration with legacy systems. SKILLS & EXPERIENCE * Exceptional, high-agency, low-ego. You bias to action, collaborate well, and are motivated by impact and outcome. * Learning-driven. You pick up new domains quickly, ask sharp questions, and turn are comfortable with ambiguity. * Product-minded. You translate field pain into clean abstractions, docs, and tools others can use. * Adventurer. You are eager and willing to travel and experience new things, and meet unforeseen challenges with creativity and resourcefulness. * Excellent communicator. You express ideas clearly, listen actively, and build east rapport with customers and teammates alike. * If you're unsure whether you check every box, you should still apply! Impact beats pedigree here. PROCESS * Intro call with a member of the Forward Deployed team * Technical Interview with a Member of Engineering * Interview with (another) member of the Forward Deployed team * People Interview with Beatriz, Head of People BENEFITS * Fully remote work & flexible hours; * 37 days/year of vacation & holidays; * Health insurance allowance for you and dependents; * Company-provided equipment; * Wellbeing, always-be-learning and home office allowances; * Frequent team get togethers in Paris; * Great diverse & inclusive people-first culture.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today - environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. About the Role We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability. Responsibilities: Build the next generation of agentic environments Build rigorous evaluations that measure real capability Collaborate across research and infrastructure teams to ship environments into production training Debug and iterate rapidly across research and production ML stacks Contribute to research culture through technical discussions and collaborative problem-solving You may be a good fit if you: Are highly impact-driven - you care about outcomes, not activity Operate with high agency Have good research taste or senior technical experience, demonstrating good judgment in identifying what actually matters in complex problem spaces Can balance research exploration with engineering implementation Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Are comfortable with uncertainty and adapt quickly as the landscape shifts Have strong software engineering skills and can build robust infrastructure Enjoy pair programming (we love to pair!) Strong candidates may also have one or more of the following: Have industry experience with large language model training, fine-tuning or evaluation Have industry experience building RL environments, simulation systems, or large-scale ML infrastructure Senior experience in a relevant technical field even if transitioning domains Deep expertise in sandboxing, containerization, VM infrastructure, or distributed systems Published influential work in relevant ML areas The annual compensation range for this role is below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits. Annual Salary:$500,000-$850,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ******************* email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

We help make autonomous technologies more efficient, safer, and accessible. Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale. Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles. You will: You will focus on research and development related to the optimization of ML models on GPU's or AI accelerators. You will use your judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems. Specifically, you will: Research, prototype and evaluate state of the art model optimization techniques and algorithms Characterize neural network quality and performance based on research, experiment and performance data and profiling Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow. Define the technical vision and roadmap for DL model optimizations Write technical reports indicating qualitative and quantitative results to colleagues and customers Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms You have: Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU's or AI accelerators Strong understanding of deep learning algorithms, software engineering and GPU-based computing Experience working with neural networks in Tensorflow and/or PyTorch Proven ability to thrive in fast-paced environment Ability to communicate complex technical concepts to colleagues and a variety of audience Introspection, thoughtfulness, and detail-orientation Proficiency in Python The following are a plus, but not required: Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related field Computer vision experience We offer: Competitive health insurance options 401K plan management Free lunch and fully-stocked kitchen in our South Bay office Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

SummaryAs the Biomedical Technician, you will respond to service calls within a hospital or healthcare system in Greenville, SC. You will evaluate, diagnose, and perform repair and planned maintenance on biomedical equipment, providing service excellence to drive customer satisfaction. This role requires the candidate to work onsite at our customer location(s). To provide onsite customer support, candidate needs to be willing to work in the Greenville SC area. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job DescriptionRoles and Responsibilities: Evaluate customer biomedical equipment issues, implement appropriate repairs, and perform planned maintenance and safety and environmental inspections to support our customers' ability to deliver healthcare. Adhere to company policies, procedures, and hospital protocols, to ensure regulatory and compliance requirements are met; ensure documentation of all work performed is captured. Maintain strong relationships and frequent communications with customers to ensure resolution and proper follow-up, to ensure ongoing customer satisfaction. Maintain proper care of tools and test equipment to ensure calibration and ability to deliver timely and accurate repairs and maintenance to our customers. Identify and report all customer quality or compliance concerns immediately to the Quality Organization to ensure services are provided with the highest ethical standards. Required Qualifications: Associate's or Bachelor's degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or related field; OR equivalent military education; OR participant in the formal GEHC Biomed/FE Services Internship, Apprenticeship or Military Externship program; OR High School Diploma/GED and a minimum 2 years of experience servicing electrical, electronics, IT or mechanical equipment. Knowledge of electronic digital circuitry and understanding of electronic and electro-mechanical devices. Experience interpreting schematic diagrams. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Preferred Qualifications: Ability to be available after-hours and/or work a rotating on-call schedule, including weekends. Ability to lift and move up to 35lbs. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership -always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #LI-CLM #LI-Onsite We will not sponsor individuals for employment visas, now or in the future, for this job opening. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: Yes

Job SummaryThe Alignment of Dynamical Cognitive Systems program seeks a Research Engineer to develop novel AI platforms addressing critical alignment challenges and practical LLM agents. Combining platform development with alignment research, this role requires expertise in agent-based systems and multi-objective optimization. You'll co-design and develop systems supporting safety research, internal tools, and community resources -- creating environments to shape multi-agent dynamics and implement cooperative AI architectures with robust alignment properties. You'll also build technical infrastructure to investigate experimental AI alignment and control approaches while collaborating with researchers to bring theoretical approaches into practice. This position offers the chance to develop foundational technologies essential for promoting safety as AI capabilities rapidly advance. About CARMAThe Center for AI Risk Management & Alignment (CARMA) works to help society navigate the complex and potentially catastrophic risks arising from increasingly powerful AI systems. Our mission is specifically to lower the risks to humanity and the biosphere from transformative AI.We focus on grounding AI risk management in rigorous analysis, developing policy frameworks that squarely address AGI, advancing technical safety approaches, and fostering global perspectives on durable safety. Through these complementary approaches, CARMA aims to provide critical support to society for managing the outsized risks from advanced AI before they materialize.CARMA is a fiscally-sponsored project of Social & Environmental Entrepreneurs, Inc., a 501(c)(3) nonprofit public benefit corporation. Responsibilities• Research and develop AI systems and platforms variously for: safety research, internal tooling, and safety community support• Design and implement architectures for agent execution environments and interaction platforms• Develop optimization algorithms for multi-objective and cooperative AI systems• Create mechanisms for conflict resolution and preference aggregation in multi-agent settings• Implement testing frameworks and example environments to validate theoretical approaches• Build middleware components that facilitate secure and efficient agent communication• Architect and develop reusable software components for AI alignment research• Document system architectures, APIs, and implementation details• Collaborate on technical publications and research presentations• Contribute to both practical implementations and theoretical research in AI alignment• Support the evaluation and refinement of research prototypes Required Qualifications• MS or PhD in Computer Science, AI, or related field (or equivalent experience)• Experience with one or preferrably more of: dynamic plan recognition, activity recognition, dynamic multicriteria decision making, multi-agent systems, or AI builder platforms• Strong programming skills in both Python and Java• Demonstrated ability to relatively independently drive technical projects from concept to implementation• Familiarity with techniques for AI alignment, control, safety, or related research areas• Experience developing middleware, frameworks, or platforms• Breadth of experience in machine learning and AI systems architecture• Literate in semi-formal semantics • Excellent communication skills and technical documentation abilities Preferred Qualifications• Publications (formal or informal) in AI alignment, AI safety, or related research areas• Familiarity with varied multi-objective optimization techniques• Experience with contextual pragmatics and/or constraint satisfaction problems• Developed novel multi-agent architectures• Experience with LLMs and integrating them into agent architectures• Experience with distributed systems and platform development• Knowledge of security and privacy methods for multi-party computation• Understanding of basic game theory and/or social choice theory concepts• Familiarity with metacognitive systems, metareasoning, or dynamical cognitive approaches• Demonstrable open source project contributions• Experience building systems that actively manage trade-offs between competing objectives CARMA/SEE is proud to be an Equal Opportunity Employer. We will not discriminate on the basis of race, ethnicity, sex, age, religion, gender reassignment, partnership status, maternity, or sexual orientation. We are, by policy and action, an inclusive organization and actively promote equal opportunities for all humans with the right mix of talent, knowledge, skills, attitude, and potential, so hiring is only based on individual merit for the job. Our organization operates through a fiscal sponsor whose infrastructure only supports persons authorized to work in the U.S. as employees. Candidates outside the U.S. would be engaged as independent contractors with project-focused responsibilities. Note that we are unable to sponsor visas at this time.