Biomedical engineer jobs near me

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 *******************************

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are seeking a skilled research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally. We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply. The role is open to the following locations: San Francisco Bay Area, Seattle and London. Qualifications Bachelor's degree in Computer Science, Engineering, or related fields. Minimum of two years of industry experience in AI, machine learning, or related roles, with a track record of successfully implementing and deploying AI models in production environments. Proficiency in programming languages such as Python, and experience with relevant libraries, toolchain and frameworks for AI model development. Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics. Familiarity with drug discovery processes, computational chemistry, or bioinformatics is desirable. Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in healthcare. Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. Experience working and communicating cross-functionally on an interdisciplinary team. Publication track record at conferences such as NeurIPS, ICML, ICLR, etc. If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply! Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $160,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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.

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!

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. **Required Skills:** Research Engineer, Language - Generative AI Responsibilities: 1. Design methods, tools, and infrastructure to push forward the state of the art in large language models 2. Define research goals informed by practical engineering concerns 3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) 5. Work with a large and globally distributed team 6. Contribute to publications and open-sourcing efforts **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Research experience in machine learning, deep learning, and/or natural language processing 9. Experience with developing machine learning models at scale from inception to business impact 10. Programming experience in Python and hands-on experience with frameworks such as PyTorch 11. Exposure to architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 12. A PhD in AI, computer science, data science, or related technical fields. 13. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 15. Direct experience in generative AI and LLM research. **Public Compensation:** $85.10/hour to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City. As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$2B in vault TVL and a growing suite of Prime, Core and Frontier vaults. Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader's discipline and a risk manager's skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults. About the Emerging Talent Program The Gauntlet Emerging Talent Program is designed for new graduates who are eager to apply their quantitative and technical skills to the most pressing challenges in decentralized finance. Upon joining the Gauntlet team, you'll gain: Hands-on experience solving high-impact problems in DeFi risk, optimization, and protocol design Mentorship and training from leading researchers and engineers in crypto and quantitative finance Exposure to real-world systems securing billions of dollars across the industryA clear growth path into roles in quantitative research, engineering, and data science.Responsibilities Transform mathematical models into production code that powers live trading strategies Build and optimize vault strategies across multiple asset types (stablecoins, ETH/BTC, restaking tokens, real-world assets) Conduct comprehensive risk assessment using statistical methods to evaluate liquidity risk, token depeg scenarios, insolvency risk, and interest rate exposure Design and run controlled experiments to measure strategy performance, including profit/loss analysis, maximum drawdowns, and stress testing Build data pipelines for strategy simulation, real-time monitoring, and automated trade execution Create monitoring systems with dashboards and alerts to track market changes, protocol updates, and smart contract events Develop allocation recommendations with appropriate risk guardrails and rebalancing triggers Write clear research documentation explaining strategy assumptions, trade-offs, and risk management approaches Collaborate on public research and internal strategy memos Qualifications Currently pursuing Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or related quantitative field with expected 2026 graduation date Strong programming abilities in Python (experience with SQL, TypeScript, or Rust is a plus) with solid foundation in algorithms and data structures Statistical and mathematical knowledge including probability, statistics, optimization, and time-series analysis Understanding of financial risk concepts such as Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), portfolio optimization, leverage mechanics, and automated market maker (AMM) mathematics Strong communication skills and ability to collaborate effectively in code reviews and strategy discussions Bonus Points Academic or personal projects involving numerical methods, risk modeling, or quantitative strategy research Participation in hackathons or contributions to open-source projects Familiarity with decentralized finance protocols including lending platforms, decentralized exchanges (DEXs), automated market makers (AMMs), and perpetual futures Understanding of vault management, yield farming strategies, or cross-chain execution Experience with real-world asset (RWA) tokenization or liquid staking/restaking protocols Why Join Gauntlet? Work on live strategies that manage institutional capital with real market impact Contribute to transparent, publicly visible vault strategies Learn from experienced engineers and quantitative researchers who deploy models in production Gain hands-on experience bridging academic theory with practical trading systems Clear career progression path toward senior engineering or quantitative research roles Work alongside a team managing high-visibility public vaults Receive mentorship from professionals with proven track records in quantitative finance and DeFi Benefits and Perks Remote first - work from anywhere in the US & CAN! Regular in-person company retreats and cross-country "office visit" perk 100% paid medical, dental and vision premiums for employees $1,000 WFH stipend Monthly reimbursement for home internet, phone, and cellular data Unlimited vacation 100% paid parental leave of 12 weeks Fertility benefits Opportunity for incentive compensation Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application. The national pay range for this role is $120,000 - $150,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company. #LI-Remote

BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We've got a team of 200+ professionals, with a strong emphasis on technology-70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration. This role is ideal for someone who can move quickly from idea to execution-transforming complex datasets into predictive trading signals that capture short-term market opportunities. You'll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don't stay in theory but turn into real, monetized strategies. Key Responsibilities: Perform rigorous, time-sensitive applied research across diverse data sources-including high-frequency market data and alternative datasets-to uncover systematic anomalies. Design and engineer predictive features that can be rapidly tested and deployed into production strategies. Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation. Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently. Qualifications Bachelor, Master's or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution. 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred. Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves. Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code. Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor. High sense of ownership, urgency, and accountability. Additional Information What we offer: Experience a modern international technology company without the burden of bureaucracy. Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more. Enjoy excellent opportunities for professional growth and self-realization. Work remotely from anywhere in the world with a flexible schedule. Receive compensation for health insurance, sports activities, and non-professional training.

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.

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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you're working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary:$340,000-$425,000 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. 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

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 Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred : Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity 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.

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 work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will: Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms You have: A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it! Comfort operating in a fast-paced environment to deliver customer projects Introspection, thoughtfulness, and detail-orientation Experience working with neural networks, Tensorflow and/or PyTorch Fluency in Python and working knowledge of C/C++ programing A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry Master's or Ph.D. in a related field and/or 5+ years of experience in a related field The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission. 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.

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'-an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. Responsibilities Design, develop, and maintain geometry processing and simulation algorithms for engineering applications. Build services for reading, processing, and writing 2D/3D engineering data. Develop rendering modules for generating 2D/3D visual assets. Curate and manage large-scale datasets for learning-based systems. Implement and optimize post-training workflows for machine learning models. Contribute to the development of domain-specific languages for engineering tasks. What we are looking for 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages. BSc or MSc in Computer Science, Engineering, or a related field. Proficient in writing clean, modular, and maintainable Python code. Experience with dataset creation and data pipeline development. Bonus Points PhD or MS with a focus in Computational Design, Simulation, or AI. Experience developing CAD/CAM/CAE software tools. Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning. Experience designing or implementing DSLs or compilers.

SummaryThe Biomedical Technician will respond to service calls to evaluate, diagnose, and perform repair and planned maintenance (PM) on customers' basic biomedical equipment. Drives customer satisfaction through service excellence. This role requires the candidate to work onsite at our customer location. To provide onsite customer support, candidate needs to be willing to work in the Daytona Beach FL 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 DescriptionResponsibilities: Under supervision, evaluate basic customer biomedical equipment issues, implement appropriate repairs, and as assigned, perform PM and safety/environmental inspections. May assist more experienced technicians on basic and more complex repairs/resolution. Effectively communicate and partner with teammates and colleagues. Follow appropriate GE policies, procedures, hospital protocol, and completes necessary documentation. Maintain daily communications with customers as directed, to ensure resolution and proper follow up, leading to strong customer relations and ongoing customer satisfaction. As instructed, implement GE/customer facility contract and supports business goals/objectives. Work as a member of local team to provide efficient service delivery to all accounts within the assigned area. When trained, able to share on-call responsibility. Document all repair actions and submit reports/summaries according to schedule. Ensure proper care of spares, tools, and test equipment, and ensure calibration. Enhance and maintain technical knowledge of current standards, codes, and procedures regarding safe and effective use of medical equipment through formal instruction. Understand and utilize sources of help (i.e., manuals, tech support, Facetime app, online resources) to answer questions when performing PM. Meet Health and Human Services, Environment Health and Safety requirements, and all other applicable regulatory requirements.' Quality-Specific Goals: Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position. Complete all planned Quality and Compliance training within the defined deadlines. Identify and report any and all customer quality or compliance concerns immediately to the Quality Organization. Ensure all work orders, vendor service reports, time and expense reports, PM activities, purchase orders, and other duties are documented in an accurate and timely manner. Ensure all test equipment is tracked and 100% calibrated on time. 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 or Military Externship program; OR High School Diploma/GED and a minimum 2 years of experience servicing electrical, electronics, IT or mechanical equipment. Analytical and communication skills with the ability to communicate technical issues to the customer in an easy-to-understand manner. Willingness to be available ""after hours"", or work a rotating On-Call schedule, including weekends, for critical issues and coverage, as necessary. The successful applicant must comply with GEHC's standard background check, including a post-offer drug test. In addition, during employment, the employee must comply with all customer access policies, including but not limited to obtaining and/or providing proof of required immunizations, and additional drug tests or background checks (including a federal government background check if assigned to support a contract with the federal government). 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. Special Physical Requirements: Ability to lift, carry, push, and pull up to 35 lbs. unassisted and frequently bend, stoop, twist, climb, crouch/squat, kneel/crawl, sit and stand for long periods of time. Ability to reach at, above and below shoulder level, flex/extend neck and have good hand and finger dexterity. Specific vision abilities required by this job may include color, close vision, distance vision, peripheral vision and depth perception. Desired Characteristics: One year of experience performing troubleshooting and PM on basic electronic, electromechanical or medical equipment following current standards, code, and procedures to ensure safe and effective operation of those devices. Strong knowledge of electronic digital circuitry and understanding of electronic and electro-mechanical devices. Experience interpreting schematic diagrams and perform effective repair and planned maintenance on basic biomedical or electronic equipment. Experience developing and maintaining good customer relations. Experience interfacing with both internal team members and external customers as part of a solution-based service process. Proficiency in completing electronic documentation using technological tools (e.g., iPad, iPhone) and familiar with technological programs (e.g., Microsoft Office). Change agent and process oriented. Exhibit the mentality that customers determine our success. Operate with efficiency and sense of urgency Willingness to learn and adapt to changing environments. Empower and inspire others. Ability to deliver results in an uncertain environment, ability to multitask and prioritize. 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. Additional Information 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: No

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.

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Summary: Under moderate supervision, the BMET II provides planned maintenance (PM), electrical safety testing, routine and emergency corrective maintenance, calibration and installation of moderately complex diagnostic and therapeutic medical devices as assigned by the Supervisor. Responsibilities And Duties: 1. 60% Performs preventative maintenance PM , calibrations and electrical safety testing of medical devices and systems of moderate complexity. 2. 20% Performs corrective maintenance on certain specialized medical devices, including diagnosing failures of moderately complex networked medical systems. 3. 5% : Assembles and installs newly acquired medical devices 4. 5% : Conducts in-services and training to end users on the proper maintenance and operation of medical devices. May provide mentoring to other Clinical Engineering Specialist. 5. 5% : Maintains documentation that supports the maintenance and repair of clinical devices as required by regulatory agencies. 6. 5% : Assists Senior Clinical Engineers with the installation of sophisticated networked systems 7. 8. : 9. : 10. : ** COMPLETION OF WITH PERCENT Minimum Qualifications: Associate's Degree (Required) Additional Job Description: Field of Study: Biomedical Engineering Technology or equivalent military related training Years of experience: 1-2 yrs. exp in repair and maintenance of medical equipment SPECIALIZED KNOWLEDGE Anatomy & Physiology, Networks, medical terminology, regulatory standards and the use of diagnostic test equipment. DESIRED ATTRIBUTES Bachelors Degree of Applied Science in Biomedical Engineering Technology or equivalent military related training. CBET certified Work Shift: Day Scheduled Weekly Hours : 40 Department Clinical Engineering Join us! ... if your passion is to work in a caring environment ... if you believe that learning is a life-long process ... if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment

NOMA AI Mission: NOMA is developing a novel AI platform for healthcare that leverages deep tech and machine learning to analyze multimodal medical data and help clinical teams proactively identify risks of medical complications. Our first product focus is on maternal hemorrhage and excessive bleeding of mothers that can happen during labor and delivery and continues to rank as a leading cause of maternal mortality and morbidity in the U.S. The Opportunity: NOMA AI Inc. is looking for candidates for a machine learning research engineer position to participate in developing cutting-edge machine learning and data analytic solutions in healthcare. The successful applicant will participate in the development, research, evaluation, and deployment of machine learning methodologies for real-time clinical decision systems, patient monitoring, and alerting solutions. Our team includes individuals with strong machine learning, software engineering, and healthcare backgrounds. In addition, we wish to reach out to talented individuals who are passionate about revolutionizing healthcare and who are interested in: Working on problems that are at the forefront of both industry and scientific research in ML for healthcare Researching, developing, and deploying real-time machine learning-based AI tools in healthcare Achieving long-term and ambitious product development goals while identifying intermediate milestones Being independent problem solvers while operating in a collaborative environment Qualifications: Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent field Relevant publications Ability to rapidly iterate and evaluate machine learning methodologies to solve novel problems Experience working with popular machine learning frameworks, including NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow Experience working with high-frequency signal and waveform data Experience with time-series data, high-frequency data, prediction modeling, and imbalanced data Expert Knowledge of Python. Have experience in working and collaborating with others on team projects Ability to deliver with limited guidance, working on problems that are not structured 5+ years of programming experience Preferred Qualification: Experience with medical data, electronic health records, biosensor data, etc. Experience with real-time environments and model deployment Experience with major cloud environments and other distributed systems Interest and experience in software engineering (data pipelines)

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor's students will also be considered.- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Open-minded and collaborative team player with willingness to help others.- Solid understanding of computing fundamentals, including code efficiency.- Experience in deep learning frameworks such as PyTorch.- Proficiency in Python, Rust, C++ and/or CUDA. Bonus/nice to have:- Experience deploying ML/DL models to a production motion planning or related robotics stack.- Experience in iterating on a model including evaluation, introspection and fine-tuning.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.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.

Join us to pioneer user experience insights, shaping products that resonate with customers and end users. Foster a culture of continuous learning as you mentor and coach junior researchers and designers and bring your thought leadership and expertise to the team. As a Vice President of Experience Research in Engineer's Platform & Integrated Experience (EPiX), you will play a pivotal role in shaping the user experience across our products and services. Leveraging your deep expertise in research methods and user experience design, develop and execute research strategies to uncover valuable insights into the wants, needs, and abilities of our customers and end users. Your work will provide the foundation used to inform effective product and service designs across the firm. Apply your advanced knowledge of quantitative and qualitative methods to critically analyze the effectiveness of our existing and future designs as you collaborate with cross-disciplinary teams. Job responsibilities Design and execute comprehensive research studies to identify customer needs, preferences, and behaviors to foster product improvements and innovation Analyze and interpret data using advanced quantitative and qualitative methods and translate insights into actionable recommendations for enhancing user experience Facilitate surveys and interviews with users to gather information on user needs and desires and create user testing scenarios to further refine the product or feature based on findings Mentor and guide junior researchers and designers and foster a culture of continuous learning and knowledge sharing within the user experience design team Monitor industry trends and advancements in user experience research methodologies and incorporate innovative techniques to maintain a competitive edge in the market Actively contributing and using our common design language + design systems from the wider UX team Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in generative and evaluative user experience research, with a strong focus on both quantitative and qualitative research methods Proven ability to conduct various research techniques, such as ethnography, surveys, interviews, and advanced data analysis, to derive actionable insights for user experience design Demonstrated knowledge of advanced qualitative methods, with evidence of implementing findings that improved product or feature design Demonstrated experience in collaborating with cross-functional teams, including UX designers, product managers, and developers, to propel customer-centric decision-making and inform product prioritization Experience in designing high-quality research studies with an iterative mindset, with an ability to adapt study parameters to accommodate changing product design needs Preferred qualifications, capabilities, and skills Experienced in Agile delivery process and tools such as Jira

Revelare Networks is a small defense contractor headquartered in Maryland, with a geographically distributed team across the United States. We specialize in securing Department of Defense (DoD) communications against sophisticated adversaries. Our projects range from hands-on hardware security to advanced software development, focused on research, development, and innovation in the defense industry. Position Overview We are seeking a passionate and skilled Research Engineer to support our R&D contracts with the DoD. The ideal candidate will have experience in software development, machine learning, and the 5G system architecture, combined with an interest in contributing to cutting-edge defense and security projects. This position offers exposure to multi-disciplinary engineering efforts, working alongside teams of experts and researchers tackling challenging, high-impact problems. Key Responsibilities: Conduct research and development activities focused on improving cellular communication security. Modify and deploy 5G mobile core to support new functionality Collaborate with cross-functional teams to design, implement, and test innovative solutions. Develop software applications using C/C++, Python, Java, or React. Train neural networks utilizing TensorFlow or PyTorch frameworks. Create and manage REST APIs for seamless integration of services. Utilize Docker and Linux environments for application deployment and management. Requirements Qualifications: Must be a U.S. citizen or permanent resident (green card holder) residing in the U.S. as required by customer contract. BS or post-graduate degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or Physics. Proficient in programming languages including C/C++, Python, Kotlin, or React. Experience with 5G communications and Mobile Cores. Knowledge of 5G RF usage and 5G Protocols. Proficiency in training neural networks with TensorFlow or PyTorch. Strong background in designing and querying relational databases. Familiarity with REST APIs and their implementation. Comfortable working in Docker and Linux environments. A passion for advancing technology and contributing to national security initiatives Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home