Top Research Scientist Jobs Openings in 2025

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Team Safeguards, Dangerous Asymmetric Harms is a team responsible for developing comprehensive safety systems and policy boundaries across CBRNE (Chemical, Biological, Radiological, Nuclear, and Explosive), Cyber, and Dangerous Asymmetric Advanced Technologies—addressing threats from everyday trust and safety risks to catastrophic AI scenarios. We blend domain expertise in CBRNE and Cyber with ML engineering to create classifiers, evaluation infrastructure, threat models, and conduct RL experiments. The team also performs AI capability uplift testing through partnerships with government laboratories and national security agencies, leveraging real-world cross-functional experience. We are looking for a Research Scientist, CBRN (Rad/Nuke), ML, who can execute rapidly, maintain high throughput, and bring a strong builder mindset to solving complex problems. The ideal candidate will combine deep nuclear/radiological domain expertise with advanced ML capabilities to build systems that evaluate and prevent dangerous capability development. You'll be designing novel approaches to detect threats spanning from nuclear proliferation to AI-enabled radiological risks, requiring both technical sophistication and strategic thinking. This role primarily focuses on building advanced ML systems for Nuclear and Radiological threat detection. You will use your deep technical expertise in nuclear security to inform ML solutions that prevent real-world catastrophic harm. Responsibilities Apply ML/AI research to build evaluation systems for nuclear and radiological safety, with focus on proliferation detection and threat assessment Develop novel AI techniques to detect and prevent nuclear weapons development, including capabilities-based analysis and investment optimization Design and train specialized AI models for nuclear material detection, leveraging sensor data, technical signatures, and open-source intelligence Research and implement state-of-the-art ML approaches for identifying illicit nuclear activities and proliferation networks Build systems that detect nuclear technology transfers and prevent proliferation through advanced pattern recognition Create and implement technical systems for monitoring nuclear fuel cycle activities and detecting anomalies Develop classifiers that can distinguish between civilian nuclear programs and weapons development Build sophisticated evaluation infrastructure for measuring AI capability uplift in nuclear domains Design adversarial testing frameworks that probe model capabilities in nuclear security contexts Integrate multi-source intelligence data with ML training pipelines to improve detection accuracy Develop and maintain nuclear threat datasets and benchmarks while ensuring appropriate classification handling Create tools that allow nuclear security experts to quickly develop and deploy new detection evaluations Write production-quality Python code for high-throughput nuclear data processing and evaluation systems Contribute to nuclear risk assessments that directly inform AI model release decisions and policy development Work cross-functionally with nuclear policy experts, national laboratory researchers, and ML engineering teams Apply capability-based investment frameworks to optimize nuclear detection R&D portfolios You may be a good fit if you Have deep domain expertise in nuclear physics, nuclear engineering, or nuclear security Possess experience with nuclear weapons effects, nuclear fuel cycles, or radiological detection systems Have worked with nuclear threat assessment, proliferation detection, or nuclear security policy development Demonstrate experience with capability-based investment planning for nuclear security programs Have familiarity with NNSA programs, particularly in proliferation detection and R&D Possess experience with nuclear detection technologies and sensor systems Can bridge technical nuclear knowledge with ML/AI applications for security purposes Have experience managing large-scale nuclear security programs or R&D portfolios Understand the intersection of emerging technologies and nuclear proliferation risks Possess strong foundation in both nuclear physics/engineering and modern ML frameworks Have experience translating complex technical nuclear findings into strategic recommendations Demonstrate ability to work with classified information and maintain appropriate security protocols Show experience with government nuclear security programs or military CWMD operations Can operate effectively in interagency environments while maintaining program focus Have led or contributed to nuclear security R&D initiatives Do not rule yourself out if you do not fit every qualification - we recognize that the intersection of nuclear security and ML for threat detection is a rare combination. If you have deep expertise in nuclear threats and are eager to apply ML to prevent catastrophic risks, please consider applying. What makes this role unique Strategic impact: Your work will directly prevent nuclear proliferation and shape global nuclear security architecture Unique technical intersection: Combine cutting-edge ML with deep nuclear domain expertise in unprecedented ways National security influence: Your technical assessments will directly inform nuclear deterrence and counter-proliferation strategies Novel problem space: Design evaluations for AI-enabled nuclear capabilities that could fundamentally change strategic stability Interagency leadership: Apply military and government experience to coordinate across national laboratories, NNSA, and DoD Investment optimization: Use capability-based frameworks to maximize impact of limited nuclear security resources Classification challenges: Navigate the unique ML challenges of working with highly classified nuclear data The expected salary range for this position is:Annual Salary:$280,000—$340,000 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.

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About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You’ll be leading projects that develop agentic AI systems designed to solve real-world mechanical, electrical, and aerospace engineering problems—systems that think, remember, act, and adapt.This is not a “pure research” position: we’re looking for a hacker-scientist hybrid—someone who’s published in top venues but is not afraid of any layer in the tech stack.What You’ll Do:Design and implement agentic systems that autonomously solve physical engineering tasks.Develop advanced memory, retrieval, and planning architectures for LLM-based agents.Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation.Contribute to both research strategy and technical implementation—this is a hands-on role.Collaborate with a small, elite team of researchers and engineers across domains.Stay on the edge of what’s possible and bring promising ideas into reality.About you:Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures).Are passionate about applied problems—especially in mechanical, aerospace, or electrical engineering domains.Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.).Thrive in fast-moving environments and feel comfortable working towards underspecified goals.Have a “whatever it takes” mindset: you’re the kind of person who makes things work.Can go from whiteboard to working prototype without waiting for someone else to “engineer” it. Preferred Qualifications:PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience).Relevant publications in top-tier venues of your field.Experience with physical engineering domains a plus.Familiarity with agent tool-use, retrieval-augmented generation, or long-term memory systems.Deep knowledge of reinforcement learning algorithms and practical challenges.Interview process:Initial screening - Head of Talent (30 mins)Hiring manager interview - Head of AI (45 mins)Technical Interview - AI Chief Scientist (45 mins)Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re looking for an entrepreneurial AI Researcher to help us build at the frontier. As an AI Researcher, you’ll work directly with the world’s leading labs to scope novel data and evaluation challenges, spin up ambitious new initiatives, and turn our unmatched access to PhD talent into differentiated capabilities. You’ll operate with autonomy and urgency, shaping our roadmap through direct customer insight and setting the foundation for a world-class research function within Handshake.Location: San Francisco, CAYour roleBe the Lab’s First Call: You’ll be a point of contact for researchers at the most advanced AI labs. By building deep, trust-based relationships, you’ll stay ahead of their emerging needs—so when a new challenge arises, we’re already in the room.Scope and Launch New Research-Driven Initiatives: You’ll partner directly with labs to uncover unarticulated data and evaluation needs—across reasoning, multi-agent systems, tool use, and beyond. Then you’ll help shape these ideas into concrete, scoped projects we can execute on.Prototype and Bring New Offerings to Market: You’ll lead the 0→1 work of designing new data types, spinning up lightweight pilots with engineering and ops, and collaborating with business teams to turn promising experiments into scalable offerings.Your experienceAI/ML Research Depth: You’ve conducted meaningful research—whether in academia or industry—and can speak fluently about LLMs, agent-based systems, and emerging evaluation methods. You’ve likely published at top venues or shipped work that mattered in production.Strategic, Customer-Obsessed Mindset: You know how to talk to technical buyers and senior researchers, uncover their real pain points, and turn that into action. You’re not afraid of a blank whiteboard and thrive in messy, fast-moving environments.Builder’s DNA: You move quickly, prototype often, and aren’t precious about titles or playbooks. You’re comfortable sitting between research, product, and GTM—and know how to ship.Technical Fluency: You’re comfortable debugging models, evaluating outputs, and collaborating with engineers. You’ve likely worked with frameworks like PyTorch or JAX, and you understand how modern ML stacks fit together.Why Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re seeking Research Scientists to join our Handshake AI Research team, where you’ll conduct pioneering research that pushes the boundaries of LLM understanding and evaluation. You’ll work at the frontiers of model comprehension, advanced evaluation methodologies, and the intersection of human and AI knowledge systems, with the goal of building the future of how we understand and measure AI capabilities.As a Research Scientist, you’ll collaborate closely with engineers and cross-functional teams to transform fundamental insights into breakthrough evaluation frameworks and understanding paradigms. Whether you’re developing novel approaches to probe model understanding, creating sophisticated benchmarks that reveal emergent capabilities, or establishing new methodologies for measuring AI-human knowledge alignment; you’ll help define how we comprehend and assess the next generation of AI systems.Location: San Francisco or New York CityYour roleDesign and conduct original research in LLM understanding, evaluation methodologies, and the dynamics of human-AI knowledge interactionDevelop novel evaluation frameworks and assessment techniques that reveal deep insights into model capabilities and limitationsCollaborate with engineers to transform research breakthroughs into scalable benchmarks and evaluation systemsPioneer new approaches to measuring model understanding, reasoning capabilities, and alignment with human knowledgeWrite high-quality code to support large-scale experimentation, evaluation, and knowledge assessment workflowsPublish findings in top-tier conferences and contribute to advancing the field’s understanding of AI capabilitiesWork with cross-functional teams to establish new standards for responsible AI evaluation and knowledge alignmentYour experiencePhD or equivalent research experience in machine learning, computer science, cognitive science, or a related field with focus on AI evaluation or understandingStrong background in LLM research, model evaluation methodologies, interpretability, or foundational AI assessment techniquesDemonstrated ability to independently lead post training and evaluation research projects from theoretical framework to empirical validationProficiency in Python and deep experience with PyTorch for large-scale model analysis and evaluationExperience designing and conducting experiments with large language models, benchmark development, or systematic model assessmentStrong publication record in post training, AI evaluation, model understanding, interpretability, or related areas that advance our comprehension of AI capabilitiesAbility to clearly communicate complex insights about model behavior, evaluation methodologies, and their implications for AI developmentNice to HaveExperience with RL, agent modeling, or AI alignmentFamiliarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systemsUnderstanding of the challenges in scaling foundation models (e.g., training stability, safety, inference efficiency)Contributions to open-source AI libraries or research toolingInterest in shaping the societal impact, deployment ethics, and governance of frontier modelsWhy Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.We are seeking an exceptional legal professional to join our Knowledge Management & Applied Research Team. This individual will serve as a Subject Matter Expert (SME) in personal injury litigation and partner closely with our technical teams, including engineering, product, and design, to shape the future of legal technology. The Applied Legal Researcher will play a critical role in developing proprietary datasets, guiding model fine-tuning, and enhancing the legal accuracy and impact of AI-generated work.We’re open to candidates based in San Francisco or Toronto, where this role would be hybrid with an expectation of working from the office at least 3 days per week. For candidates based elsewhere in the U.S., this is a remote role and can be performed from anywhere in the United States.What You'll Do:Maintain and expand EvenUp’s knowledge base to support high-quality demand packages and legal documents for personal injury claims.Collaborate with Product, Data Science, and Machine Learning teams to enhance product offerings, develop AI systems, and tackle complex legal automation challenges.Design and refine case-specific templates and support firm- and state-level customization in partnership with clients.Conduct legal research on liability and damages nationwide, monitor statutory and common law changes, and mentor the Legal Operations Team on evolving legal standards.Lead quality assurance efforts through audits, benchmark development, and prompt engineering to support model evaluation and fine-tuning.What We Look For:Active license to practice law and in good standing with at least one U.S. state bar.5+ years of experience in personal injury litigation, including demonstrated expertise in first- and third-party bad faith claims involving all types of insurance coverage.Exceptional legal drafting skills, with a track record of producing complex legal documents such as pre- and post-litigation demands, medical summaries, written discovery responses, legal memoranda, and other high-value personal injury materials.Meticulous attention to detail across all forms of written communication.Deep knowledge of personal injury law across multiple states, including both statutory and common law frameworks, and a strong grasp of recoverable damages and their limitations.Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us?We’re on a mission to build cutting-edge AI systems that empower radiologists and improve patient care. As a Research Scientist on our Machine Learning team, you’ll work at the intersection of speech modeling, machine learning, and healthcare, interfacing with our partners to design and deploy state-of-the-art ASR and speech-based models that solve real-world healthcare challenges. This is a high-impact role where your work will directly influence clinical workflows and improve physician efficiency at scale.What You’ll Do:Develop advanced speech processing pipelines and quality assurance systems for medical dictation workflows.Research offline speech processing capabilities and edge computing solutions for clinical environmentsTackle complex challenges unique to healthcare and radiology, such as converting dictated speech into structured data, enabling real-time clinical decision support, or building voice interfaces.Work closely with vendor relationships to enhance integration and performance metricsDrive Applied Research: Stay current with cutting-edge research in speech and audio ML, design experiments, and prototype ideas that can be translated into production. ​​What We’re Looking For:MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience 2+ years of post-degree experience building models in ML Speech technologies such as Automated Speech Recognition/Speech-to-Text (ASR/STT), or Text-to-Speech (TTS)Strong experience working with transformer-based speech models such as Whisper.Proficiency with Python and deep learning frameworks like PyTorchFamiliarity with open-source libraries such as ESPnet, HuggingFace Transformers, torchaudio, or KaldiExperience deploying speech or audio models in production settingsExperience working with and curating large audio datasets.Bonus Points For:PhD, or research background in speech ML, signal processing, or voice-based interfacesExperience working in healthcare, regulated environments, or HIPAA-compliant systemsPublications in top-tier ML or speech-specific conferences (e.g., INTERSPEECH, ICASSP, NeurIPS) Experience working in early-stage startups or fast-paced R&D teams Familiarity with cloud platforms (AWS, GCP) and modern ML ops toolchainsJoin our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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About the role and teamAs a Research Engineer on our Multimodal team, you’ll be a self-motivated, resourceful contributor with full-stack machine learning expertise—from data collection and training state-of-the-art models to building evaluations, optimizing inference algorithms, and refining systems based on user feedback.In this role, you'll take end-to-end ownership of developing new multimodal Audio capabilities, requiring you to think holistically about every stage of the ML pipeline. You'll need to be comfortable working across the full stack, tackling challenges at any level—from designing data pipelines to fine-tuning models and deploying real-time inference. If you thrive in an environment where you can wear multiple hats and solve complex problems with a hands-on approach, we’d love to hear from you.What you'll doDetermine the type of training data we need, finding where we can collect it, and writing distributed data gathering pipelines to ingest data.Develop new model architectures that push the state-of-the-art in terms of quality, scale, and inference speed.Create new evaluations that capture different aspects of generative outputsWrite fast inference algorithms to serve these models at scale.Work with product teams to integrate feedback mechanisms into the product, which we use to improve the model.Work with large scale multimodal datasets.Who you are"All Industry Levels": at least PhD (or equivalent) research experience.Experiences in large scale audio data processing, and transformer model training.Strong engineering skills in deep learning frameworks of PyTorch.Track record of releases, publications, and/or open source projects related to transformer model training.Have a deep understanding of the “whole stack” and track record of successfully owning projects from start to finish when it comes to designing, training, evaluating and deploying machine learning models, especially large language models.About Character.AICharacter.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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We are seeking an Applied Research Scientist to join the Pika AI team. In this role, you will focus on developing advanced AI tools leveraging our foundation models. You will collaborate closely with researchers, product designers, and engineers to develop models that deliver exceptional visual effects, character replacement, style transformations, and more, ensuring seamless integration into production environments. Ideal candidates are passionate about cutting-edge applied AI techniques, including multi-modal video models, video super-resolution, conditional video generation, video editing, inpainting, and controllable generation. Position Responsibilities Develop innovative video applications, including controllable generation, video editing, and consistent character generation. Design and build robust data pipelines essential for powering these applications. Collaborate with product and design teams to translate state-of-the-art algorithms into user-friendly product features, enhancing the experience for tens of millions of users. Position Requirements 6 year+ experience working on computer vision, machine learning or related fields. Demonstrated experience with diffusion models, GANs, VAEs, or other relevant AI models. Direct experience working with vision transformers. Experience working on multi-modal video models. Strong engineering practices with proficiency in PyTorch, covering data processing, model training, and deployment workflows. Hands-on experience developing applications based on foundational video models, including video inpainting, controllable generation, and human-centric modeling. Proven expertise in large-scale data processing, dataset construction, and automated data cleaning. (Optional) Solid coding abilities and a strong grasp of algorithm fundamentals; familiarity with distributed training tools such as FSDP or DeepSpeed is a plus.

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We are seeking a Senior Research Associate to join our team working at the interface of generative AI and biology. The ideal candidate is experienced in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening methods. You will work both collaboratively and independently with teammates to develop and execute screening assays to functionally test and characterize novel proteins designed using our proprietary models .This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. This role requires strong technical capability, adaptability, organizational and communication skills, as well as ability to work independently and collaboratively in a dynamic team-oriented environment. Who You Are:You are a skilled experimental biologist. You have a Bachelor’s degree in molecular/cell biology, biochemistry, or a related field with two years of industry or academic research experience in the above field(s); or Master’s degree in molecular/cell biology, biochemistry, or a related fieldYou have experience with assay development. You have at least one year of experience scoping, developing, and running experimental assays to answer scientific questions (e.g. yeast or mammalian display to study protein-protein interactions). You are able to work with assays in a variety of systems and organisms (e.g. mammalian cell lines, yeast, bacterial, phage, or in vitro) and can independently execute and troubleshoot experimentsYou have experience with high throughput workflows. You have experience with cell-based assays, molecular cloning, flow cytometry/FACS, and/or next-generation sequencing in biotechnology industry settings. You have experience with high-throughput biology methods as well as laboratory automation.You are used to managing large amounts of data. You have experience using and improving LIMS, Benchling or similar tools, to manage samples and data from high-throughput experimentsYou have strong scientific communication skills. You have experience successfully working as part of a cross-functional collaborative scientific team and you have strong scientific communication skills.You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are interested in new and innovative ways to engineer biology while leveraging existing knowledge and expertise.You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye with high attention-to-detail for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software.What Sets You Apart (preferred but not required):You are a data scientist. Proficiency with data analysis and handling using R, JMP, SQL, and other software tools such as python and python notebooks.You’ve worked in a young biotech before. You have worked in startups and helped the company set up new workflows and processesYou have experience with developing and testing antibodies or nanobodiesYou have experience in research-scale protein production (preferably in high throughput) and are proficient with biophysical assays such as BLI or SPR.Your Responsibilities:High-throughput assay development and execution :Help develop and execute high-throughput functional assays, cell culture, and molecular biology and biochemistry workflows to characterize and validate novel protein designsScope and integrate high-throughput wet- and dry-lab tools into experimental workflowsContribute to development and improvement of high-throughput screening platformDetailed, accurate, and timely documentation of experimental procedures and parameters and handoff of data and analysis results to stakeholdersRegular communications of experimental outcomes and analysis results to team members and stakeholdersSelf development:Stay on top of relevant developments in synthetic biologyContinue building your understanding of generative AI as well as expanded areas of protein and cell biologyParticipate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences when relevant.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Travel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in applying reinforcement learning based techniques to improve the quality and controllability of the models that power Runway’s research and tools. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant engineering or research experience in applying reinforcement learning to align language, image, and/or video generation models Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in pretraining the next generation of Runway’s multimodal models. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant ML engineering or research experience Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in building large language models and vision language models that power Runway’s research and tools, with a focus on multimodal capabilities and reasoning. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant ML engineering or research experience in language models Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role As a Research Scientist specializing in Generative AI, you will contribute to advancing the frontiers of language and vision intelligence through research in Large Language Models (LLMs),  Vision-Language Models (VLMs), and Reinforcement Learning (RL) for real-world applications. You will also contribute to Appier’s core AI capabilities and drive publications in top AI/ML conferences. This role offers the opportunity to work on high-impact research and collaborate with a cross-functional team of scientists and engineers in a dynamic, innovation-driven environment.   Responsibilities Design and implement novel algorithms and architectures for LLMs, VLMs, and RL with both research and product impact. Conduct experiments to improve the performance, efficiency, and scalability of generative models across language and vision tasks.  Analyze experimental results, contribute to internal knowledge, and optionally publish key findings in leading AI/ML conferences. Collaborate with cross-functional teams to integrate models into real-world applications.  Continuously review recent publications and preprints in the field, and evaluate their relevance to Appier’s product roadmap. Drive innovation within the team by proposing and exploring new research directions and ideas. About You Minimum Qualifications Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI, ML, or related technical areas. Solid understanding of modern AI models and algorithms, with expertise in at least one of the following: LLMs, computer vision (CV), multimodal models (VLMs), or RL. Candidates should have experience utilizing LLMs for research or product prototyping. Familiarity with AI-assisted coding tools (e.g., Vibe coding) is a plus. Proficient coding skills in Python and hands-on experience with machine learning frameworks like PyTorch. Able to build and optimize models effectively. Strong ability to analyze model behavior, diagnose bottlenecks, and improve training pipelines. Clear communication skills and a team-first attitude. Able to explain technical ideas to both technical and non-technical teammates, and enjoy working in a fast-paced, collaborative environment. Preferred Qualifications Experience in academic research, with publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). Proven ability to work well in teams and drive research projects from idea to implementation. Contributions to open-source projects or involvement in research communities. Passion for pushing the frontier of generative AI and bridging research with impactful real-world applications.   #L1-RL1

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Research team, you’ll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We're looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willDevelop models for customer support tasks that exceed the performance of closed source modelsExperiment with small open-source models to drive order of magnitude reductions in latency across channelsBreak down ambiguous research ideas into clear, iterative milestones and roadmaps.Your background looks something like this3+ years of experience in AI/ML engineering or research.Proven track record of working on AI/ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.Prior experience working with multi-modal modelsBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$250K – $415K + Offers Equity