Research staff member jobs near me

Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our market making strategies. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon's deep real-world experience applying ML to financial markets. Voleon Securities is looking for creative, entrepreneurial researchers who enjoy grappling with very difficult problems. This is a chance to join the initial buildout of a fully modern securities business rooted in the frontier of AI/ML and statistics. We particularly welcome researchers with practical experience in optimal stochastic control, deep RL, deep learning, and causal inference. 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 across Voleon 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, 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.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 trading 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, preferably with experience in at least one of the following: optimal control, deep RL, deep learning, and causal inference Hands-on experience building successful liquidity providing strategies across asset classes preferred but not required 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) Ability to solve large-scale computing problems Eagerness to work in a fast paced and growing business 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.

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

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

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.

About the Opportunity Northeastern University in Boston, Massachusetts is seeking to hire a postdoctoral research associate with strong research interests and competency in investigating the social determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic disparities. Qualifications: Applicants should have a doctoral degree in epidemiology, social and behavioral sciences, public health, health economics, or a related field, as well as strong communication and writing skills. Experience in advanced epidemiologic methods and/or econometric methods to strengthen causal inference is strongly preferred. The initial appointment is for a one-year period, with the possibility for renewal. The postdoctoral research associate will join an interdisciplinary team of researchers (including social epidemiologists, other epidemiologists and data scientists, and policy researchers) and will be involved in all aspects of the research process. Opportunities will include analyzing rich datasets for publications, developing and writing research proposals and publications, participating in academic mentorship of graduate students, dissemination of research findings at professional conferences, and career development resources through Northeastern University and the Greater Boston area. Opportunities may also exist for the research associate to coordinate one or more ongoing research projects and initiate independent research projects. In addition, the postdoctoral research associate will participate in project team meetings and other seminars and will be actively engaged in the progress of research. * This position is a fully remote opportunity and there will be no requirement of an on campus presence. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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!

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

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.

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.

Organizational Unit: The USF Health College of Nursing is one of 14 colleges at the University of South Florida and one of four that make up USF Health. As a member of the prestigious Association of American Universities, USF is designated by the Carnegie Foundation as both a Research 1 and a Community-Engaged institution-reflecting its commitment to excellence in education, research, and service. Nationally recognized as a leader in nursing education and research, the College of Nursing serves more than 2,000 undergraduate, master's, and doctoral students each year. For the fourth consecutive year, our Master of Science in Nursing (MSN) program has been ranked No. 1 among Florida's public universities by U.S. News & World Report -rising to No. 23 in the nation in 2025. As an integral part of USF Health, the College of Nursing is guided by a mission grounded in excellence, innovation, and respect. We are dedicated to educating future nurses, advancing nursing science, and applying evidence-based practice to improve health outcomes and community well-being. Position Summary: The GeLATO Lab (Genomics Literacy, Access, Translation, and Outcomes) at the University of South Florida advances genomic literacy and equitable access to precision health through education, research, and community engagement. The lab supports projects funded by the National Institutes of Health (NIH) and institutional initiatives that bridge genomic science with real-world health outcomes. This position will manage daily operations of the GeLATO Lab and provide logistical, technical, and administrative support for its translational genomics research and education programs. Working collaboratively with the Principal Investigator and project teams, this position ensures the smooth functioning of laboratory workflows, compliance with institutional requirements, and coordination across research and training activities. This position is part-time (0.50 FTE) and has a salary range of $44,000 - $55,000 and is well-suited for an experienced laboratory professional or research coordinator with a strong background in biology, genetics, nursing, or a related health science discipline. Minimum Qualifications: Bachelor's degree in a related field. 5+ years of experience in a related field. Degree Equivalency Clause: Four years of direct experience for a bachelor's degree. • Senate Bill 1310- The Florida Senate (************************************************ is conditional upon meeting all employment eligibility requirements in the U.S. • SB 1310: Substitution of Work Experience for Postsecondary Education Requirements • A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed: • (a) Two years of direct experience for an associate degree; • (b) Four years of direct experience for a bachelor's degree; • (c) Six years of direct experience for a master's degree; • (d) Seven years of direct experience for a professional degree; or • (e) Nine years of direct experience for a doctoral degree • Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment. • Minimum Qualifications that require a high school diploma are exempt from SB 1310. Preferred Qualifications • Master's degree in nursing, public health, biology, or a related health science discipline. • At least 3 years of experience in a research, laboratory, or academic program coordination role. • Experience with genomics, molecular biology, or translational research projects. • Prior involvement in NIH-funded or academic research programs. • Knowledge of data entry systems, laboratory software, or educational technology platforms. • Experience mentoring students or supporting workforce training initiatives. • Familiarity with laboratory operations, data organization, and research compliance (e.g., IRB, biosafety, REDCap, Qualtrics). • Strong organizational, communication, and teamwork skills. • Proficiency in Microsoft Office and general data management. • Commitment to inclusion and ethical conduct in research and education. Laboratory Operations • Oversee day-to-day operations of the GeLATO Lab, including scheduling, ordering supplies, and maintaining equipment and inventories. • Support implementation of standard operating procedures, safety policies, and data documentation. • Coordinate logistics for lab-based and educational activities, including workshops, training sessions, and collaborative projects. • Maintain accurate records of materials, samples, and project deliverables. Research and Program Support • Assist with the preparation and organization of research materials, data entry, and tracking of project timelines. • Provide technical and administrative support for ongoing studies in genomic education, translation, and workforce skilling. • Help prepare progress reports, presentations, and documentation for NIH, USF, and other research partners for compliance. • Support collaborative research efforts by coordinating communication among faculty, students, and partners. Training and Outreach • Help facilitate lab orientations and safety training for students and staff. • Support the planning and delivery of GeLATO Lab education and outreach events. • Promote a welcoming, inclusive, and collaborative lab culture aligned with the mission of advancing genomic literacy and access. Communication and Administration • Serve as primary point of contact for day-to-day lab inquiries and scheduling. • Support budgeting, purchasing, and expense tracking. • Contribute to internal reports, newsletters, and updates highlighting lab activities.

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

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. 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

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.

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.

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