Research Staff Member remote jobs

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists (see management bios), Voleon supports a culture of curiosity, collegiality, and creativity. Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we've spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous. Years of academic training has prepared you for this moment. You won't just conduct research, you'll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading. This role is a means to make a difference: you will help direct billions of dollars in trades daily while making an enduring impact on our field. *** Relocation and work visa eligibility for qualified candidates***Responsibilities Develop a rich understanding of Voleon's challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our investment strategy Prepare and analyze new datasets to assess their predictive efficacy Develop, validate, and implement new models into production Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain Requirements Background in modern statistical methods and machine learning with a track record as an applied researcher Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement) Interest in software development techniques and willingness to write production level code (Python and/or R preferred) Ability to solve large-scale computing problems Eagerness to work in collaborative and diverse teams Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred CompensationThe base salary range for this position is $225,000 to $250,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity EmployerThe Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1

The Experience Research team at Asana is focused on understanding the dynamics of modern work, the role technology plays, and how Asana can empower teams to thrive in a collaborative environment. Our work informs teams at every level of the company and drives key roadmap decisions. We partner with Product Design, Product Management, Data Science, Engineering, business, and Marketing teams to get deep insights about our customer's behaviors and attitudes, translating them into actionable recommendations across the company. We think big about new areas, test developing concepts, and evaluate products and services once they've rolled out. You'll be joining as a senior member on the AI Studio Group, focused on transforming how our customers collaborate alongside AI to fundamentally change the way they work. Your research will inform decisions and strategic initiatives including visioning and roadmap prioritization for this group. This role is based in our San Francisco office with an office-centric hybrid schedule. Along with most Asanas, you'll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What you'll achieve: Be a UXR leader for the AI Group at Asana - inform the vision, strategy, and priorities for AI Studio Build a well-rounded understanding of our customers and communicate that empathy throughout the company Through your research and leadership skills, ensure that we ship meaningful, informed customer experiences that achieve business goals Identify and prioritize research needs and proactively plan your roadmap in partnership with fellow leads and product teams Balance strategic and tactical research to deliver high-impact results; coach & empower teams to conduct focused product research Collaborate with UXR leadership to recognize insights themes, connect dots across areas and pillars, advocate for research, and identify research questions that aren't being asked Recommend and implement improvements to the UXR team's workflow and tools, partnering with Research Ops to scale our work and advance how we leverage AI throughout our research processes About you: 7+ years of experience practicing UX Research for digital products with a wide variety of research methods applied across the product development cycle Experience guiding product strategy informed and backed by insights, building for complex B2B platforms Able to distill research findings into clear, actionable, and practical insights that help your teams meet business goals Skilled presenter and persuasive communicator who quickly builds trust and rapport with stakeholders at every level Passion for AI and continuous exploration of emerging tools to stay at the forefront of industry practices Strong organizational skills; ability to manage multiple projects at various stages in the research cycle What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $207,000 - $263,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. At Field AI, we are moving beyond single-agent autonomy-scaling AI coordination across fleets of robots in unstructured, high-risk environments. Our work in Field Foundation Models™ (FFMs) is enabling multi-robot decision-making, strategic coordination, and decentralized intelligence at unprecedented levels. From large-scale robotic deployments in complex environments to real-time tactical decision-making, we are pioneering multi-agent AI that is explainable, risk-aware, and field-ready. We are seeking a Multi-Robot Intelligence Research Engineer to design and implement scalable algorithms for coordination, decentralized control, and game-theoretic decision-making in multi-robot systems. This role is at the intersection of robotics, AI, and mathematical game theory, pushing the boundaries of large-scale, real-world autonomy.What You Will Get To Do Develop fundamental algorithms for multi-agent coordination (including differentiable game theory, mean-field control, and decentralized optimization) to enable fleets of autonomous robots to operate in real-world, high-stakes environments. Design computationally tractable formulations of multi-agent Nash equilibria, Stackelberg games, and cooperative decision-making strategies, ensuring robust and scalable decision-making across heterogeneous robotic teams. Build predictive models for multi-agent interaction dynamics, leveraging graph-based learning and control-theoretic formulations to drive efficient coordination in dynamic, adversarial, and uncertain settings. Develop distributed inference and control policies using neural PDEs, mean-field game-theoretic methods, and scalable stochastic optimization for real-time at-scale robotic interaction. Bridge theory with deployment-integrate multi-agent planning, auction-based task allocation, and decentralized multiagent reinforcement learning (MARL) into hardware-in-the-loop robotic systems operating at scale. Push the limits of explainability in multi-agent AI, ensuring tractability, convergence guarantees, and real-world feasibility while maintaining risk-aware and uncertainty-resolving decision-making. Collaborate across teams to transition multi-agent models from high-fidelity simulations to real-world deployments, working alongside robotics engineers, AI/ML researchers, and field roboticists to ensure seamless real-world operation. What You Have Ph.D. in Applied Mathematics, Game Theory, Control Theory, Computer Science, or a related field, with expertise in multi-agent decision-making and coordination algorithms. Deep understanding of game-theoretic methods-including differential games, Nash equilibria, mean-field games, and Stackelberg equilibria-with a focus on scalability and tractability. Experience with multi-agent RL (MARL) and distributed optimization for large-scale robotic coordination in imperfect information settings. Hands-on experience implementing multi-agent algorithms in real-time robotic or AI-driven systems, with exposure to hardware constraints, real-world latency, and stochastic disturbances. Proficiency in Python, C++, or Julia, with experience in optimization libraries (e.g., CVXPY, Gurobi, JAX), reinforcement learning frameworks (e.g., RLlib, Acme), and multi-robot simulators. Experience working with large-scale robotic coordination (e.g., drone swarms, autonomous fleets, or industrial automation systems) is a strong plus. Ability to transition theoretical insights into scalable, field-deployable systems, ensuring robustness under uncertainty and adaptability to real-world constraints. Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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

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

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don't miss the rocket ship-join Prophecy and build the next data revolution. Must-Have Skills: * Advanced ML/LLM knowledge: hands-on fine-tuning (SFT, DPO, RLHF), distillation, quantization/pruning for model optimization. * Full ML lifecycle: from data acquisition to training to productization with PyTorch and open-source transformers (e.g., HuggingFace). * Fluency in Python for dataset/model processing. * Experience with backend pipelines/microservices software development in public cloud: AWS, k8s, java, scala. * Builder mentality: Experience taking ideas to production. What Will Make You Stand Out * ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune). * Experience with big-data engines like Spark. * Compiler development for languages like SQL, Python, or Scala. * Optimization of ML models for low-latency, high-throughput production use. * Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch). * Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate). * Skill in evaluating tech and driving build/buy decisions. Seniority: Jr to Staff Level Experience: 1+ years in industry Compensation: $250,000-$350,000 Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. Benefits and Perks * Prophecy covers 99% of employee health insurance premiums and 75% for dependents * We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more! * Flexible PTO * Professional development allowance * Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more * Ability to have your fingerprint on an innovative platform * End-to-end ownership of your projects. * Benefits and perks may vary per country Our Commitment to Diversity and Inclusion At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and any other protected characteristics under applicable laws.

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 working on Distributed Training, you'll play a crucial role in shaping our technological direction, focusing on our decentralizing AI training stack. If you love scaling things and maximizing training efficiency, this role is for you. Responsibilities Lead and participate in novel research to build a massive scale, highly reliable and secure decentralized training orchestration solution Optimize the performance, cost, and resource utilization of AI workloads by leveraging the most recent advances for compute & memory optimization techniques. Contribute to the development of our open-source libraries and frameworks for distributed model training. 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, decentralized training 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 training and deploying large-scale AI models. Deep expertise in distributed training techniques, frameworks (e.g., PyTorch Distributed, DeepSpeed, MosaicML's LLM Foundry), and tools (e.g. Ray) for optimizing the performance and scalability of AI workloads. Experience in large-scale model training incl. distributed training techniques such as data, tensor & pipeline parallelism 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 decentralized AI model training 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.

Our mission at Onton is to help people make decisions they love, instantly. We're tackling the most economically impactful decisions first: the average shopping journey takes 79 days, and we're taking that to less than 1. Since our public launch in late 2023, we've grown exponentially to guide millions of users to their perfect product. We recently built the foundation of a neurosymbolic AI agent that learns more about the world on every search. You have the chance to solve equally difficult problems as you scale Onton 10x over the next few months to serve 1B+ searches/year, which is just the beginning. This is only the beginning. Providing a person with sufficient context to make any decision in a truly optimal way amounts to creating AGI. The economic engine we're creating on the e-commerce side, while a huge opportunity in its own right, is ultimately to support this end. Paradigm shifts like the one we're in - from narrow AI to human-level AGI and beyond - are vanishingly rare. We want to offer you the chance to do your life's work solving the problem that will solve all other problems. Your opportunity Together we will create an AI agent capable of providing a person, or itself, with sufficient context to make optimal decisions as quickly as possible. This agent will ultimately be capable of superseding most things we do at Onton. Our current application of e-commerce, making an optimal purchase decision - considering user preferences, millions of products, and billions of reviews - already requires a world model and a logical consistency far beyond the state of the art. Even OpenAI's o3 can't rid itself of the problem of hallucination, and there are no sufficiently robust bolt-on solutions for context finiteness (RAG is not enough), catastrophic forgetting, or many other fundamental problems afflicting current-gen AI systems. Contra OpenAI, we believe that scale is not all you need. These challenges can only be addressed at the architectural level. Recently we've built the foundation of a neurosymbolic AI agent that learns more about the world on every search. It's still in its infancy, but its compositionally-grounded architecture shows promise as the basis of a truly general problem solver. With your ingenuity - realized through your self-directed, data-driven experiments from first principles - we can turn its sparks of intelligence into a fire. We expect you to Have significant software, ML, or research engineering experience Command a deep, principled understanding of the current state of the field of AI, especially neurosymbolic approaches. Have some experience contributing to empirical AI research projects Enjoy implementation, not just writing papers. Be excited about non-purely-statistical approaches to AI. Prefer fast-moving collaborative projects to extensive solo efforts. Quickly and iteratively ship code that is correct, robust, scalable, and maintainable. We're not optimizing for novelty, academic recognition, or theoretical purity. Recognition will come easily from the excellence of the product we build. We'd love it if you: Have a PhD or Master's in Artificial Intelligence, Computer Science, Cognitive Science, Linguistics, or comparable (or equivalent research experience). Onsite Interviews Our final round of interviews is conducted onsite at our SF office, and this role requires full-time, in-person collaboration. We believe that the best work happens when our team is together, fostering creativity, spontaneous collaboration, and strong relationships. If you're unable to attend the interviews onsite or work onsite full-time, this position may not be the right fit. We want to ensure all candidates have a clear understanding of our work environment before applying, so everyone's time is respected throughout the process. Location Our team works in hybrid, 3 days a week, in our new office in San Francisco (Jackson Square). We're offering relocation compensation as we build density in this area. We have a tenure system where, after a year, any team member can transition to a fully remote, provided they operate primarily on Pacific Time. Diversity, Equity, Inclusion, and Belonging Statement We hire talented and passionate people from diverse backgrounds to ensure our global workforce reflects our customers. Even if your experience doesn't perfectly match every requirement in the job description, we encourage you to apply. If you're a builder at heart who shares our values and is passionate about making software tools accessible to all, we want to hear from you. Onton is proud to be an equal opportunity employer. We do not discriminate in hiring or employment decisions based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other legally protected characteristics. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, please contact your recruiter.

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

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!

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

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.

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.

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.

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.

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.

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.