Machine Learning Research Scientist

Position OverviewAt Sentra, we are pioneering the development of organizational superintelligence through innovative memory infrastructure that intelligently processes time, causality, and context. As a Machine Learning Research Scientist, you will address fundamental challenges in knowledge representation, temporal reasoning, and semantic compression. Your …

Sentra seeks a Founding Product Designer based in San Francisco or the Bay Area. This position partners closely with company leadership to shape the vision for new products and guide design decisions from the ground up. What you will do Collaborate with leadership to define the direction and vision for Sentra’s products Design user experiences and interfaces starting from the earliest product stages Establish and uphold design standards that will influence the company’s future work Impact The work in this role will directly affect the trajectory of new products and set a foundation for design throughout Sentra.

At Causal Labs, we are on a groundbreaking mission to develop general causal intelligence—artificial intelligence that not only predicts future events but also determines the most effective actions to influence those outcomes.To achieve this monumental goal, we are constructing a Large Physics Foundation Model (LPM). Our focus is on domains governed by physical laws, which inherently exhibit cause-and-effect relationships, setting them apart from traditional visual or textual data.Weather serves as the ideal training environment for our LPM, being one of the most extensively observed physical systems available. It provides immediate, objective feedback from sensory observations and boasts data scales significantly larger than those currently employed to train existing language models.Our team at Causal Labs includes leading researchers and engineers with backgrounds in self-driving technology, drug discovery, and robotics, hailing from prestigious organizations such as Google DeepMind, Cruise, Waymo, Meta, Nabla Bio, and Apple. We firmly believe that achieving general causal intelligence will represent one of the most critical technological advancements for our civilization.We are seeking innovative researchers eager to confront unsolved challenges in the field.This role presents an opportunity to create powerful models rooted in observable feedback and verifiable ground truths. If you possess experience in pioneering research and training large-scale models from the ground up in areas such as language and vision models, robotics, or biology, we invite you to join our mission.

Join the Center for AI Safety (CAIS), a pioneering research and advocacy organization dedicated to addressing the societal-scale risks posed by artificial intelligence. We tackle the most pressing challenges in AI through rigorous technical research, innovative field-building initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.As a Research Scientist, you will spearhead and conduct transformative research aimed at enhancing the safety and dependability of cutting-edge AI systems. Your responsibilities will include designing and executing experiments on large language models, developing the necessary tools for training and evaluating models at scale, and converting your findings into publishable research. You will work closely with CAIS researchers and external partners from academia and industry, utilizing our compute cluster for large-scale model training and evaluation. Your research will focus on critical areas such as AI honesty, robustness, transparency, and the detection of trojan/backdoor behaviors, all aimed at mitigating real-world risks associated with advanced AI technologies.

Join us at Physical Intelligence as a Research Scientist, where you will be at the forefront of innovation in machine learning and robotics. We are in search of exceptional researchers across all experience levels who demonstrate a strong track record of impactful research results. Ideal candidates will possess a solid foundation in both practical implementation and theoretical frameworks, showcasing a blend of system-building capabilities and significant conceptual, algorithmic, or theoretical advancements. We value diverse backgrounds and encourage applications from both traditional academic researchers and those with unique, unconventional experiences.We are committed to fostering a diverse and inclusive workplace. In accordance with the San Francisco Fair Chance Ordinance, we welcome applications from qualified individuals with arrest and conviction records.

About EliseAIEliseAI is at the forefront of revolutionizing critical sectors like housing and healthcare. Everyone deserves a secure place to live and access to high-quality medical care, yet these essentials can often be difficult to obtain. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, lower costs, and elevate the overall user experience.Housing: We simplify the rental process, enabling users to tour apartments, sign leases, submit maintenance requests, and maintain communication with property management—all within one convenient platform.Healthcare: Our solutions streamline appointment scheduling, intake form completion, and patient-provider communications, allowing individuals to prioritize their health over administrative tasks.At EliseAI, we empower organizations to minimize manual labor, enhance accessibility, and provide a cohesive experience in vital services. We recently secured a $250 million Series E funding round led by Andreessen Horowitz to further accelerate our mission.About The RoleWe are looking for exceptional Machine Learning experts to join our expansive research team. Ideal candidates will possess remarkable mathematical and quantitative abilities, strong programming skills, and impressive academic backgrounds—such as mathematicians, theoretical physicists, or computer scientists—who are eager to apply their knowledge to tackle real-world problems.In this role, you will engage with advanced topics in machine learning and large language models, develop predictive algorithms to enhance our AI functionalities, and conduct systematic analyses on substantial datasets. As a Senior Research Scientist, you will lead comprehensive research projects that drive the evolution of EliseAI’s core models, and we expect you to influence the company's research direction. If you are passionate about utilizing your academic expertise in a vibrant startup culture, we would love to hear from you.Key ResponsibilitiesIdentify critical questions in tenant engagement, conversational AI, and LLM safety, transforming them into structured projects.Design and execute experiments, develop prototypes, and implement large-scale studies to validate hypotheses.

About SesameAt Sesame, we envision a future where computers possess lifelike qualities, enabling them to see, hear, and interact with us in natural and human-like ways. We are dedicated to creating innovative voice agents that seamlessly integrate into our daily lives. Our talented team comprises founders from Oculus and Ubiquity6, along with seasoned professionals from Meta, Google, and Apple, boasting extensive expertise in both hardware and software development. Join us as we redefine the boundaries of technology and create a world where computers come to life.About the RoleAs a Machine Learning Scientist at Sesame, you will play a pivotal role in advancing our product goals through innovative research. We seek a detail-oriented individual with a strong background in Natural Language Processing (NLP), Speech Recognition, and/or Computer Vision, particularly with a focus on deep learning methodologies. You will stay abreast of the latest research and leverage your creativity and intuition to devise novel solutions tailored to our unique applications.Responsibilities:Contribute to the design and enhancement of machine learning models across diverse modalities.Engage with the complete ML stack, including model architecture, data curation, evaluation metrics, and training and inference infrastructure, while conducting research and experimentation.Identify and adopt promising techniques from existing literature, while innovating new methods as necessary to meet our distinct objectives.Required Qualifications:Demonstrated ability to work independently in environments characterized by high ambiguity.Published research in NLP, Speech Recognition, or Computer Vision focused on large-scale deep learning projects.Proficient understanding of cutting-edge advancements in artificial intelligence.Bachelor’s degree or higher in Computer Science or a related field.Preferred Qualifications:Master’s or PhD degree is preferred.Experience working on product development.Familiarity with startup environments.Sesame is committed to fostering a workplace that values, respects, and empowers everyone. We welcome applicants from diverse backgrounds, embracing all aspects of identity, race, gender, orientation, and ability. We also provide reasonable accommodations for individuals with disabilities — please contact careers@sesame.com for assistance.

Become a Pioneer in Sleep FitnessAt Eight Sleep, we're dedicated to unlocking human potential through optimal sleep. As the world's first sleep fitness company, we are revolutionizing what it means to be well-rested by creating the most advanced hardware, software, and AI technology. Our innovative products enhance mental, physical, and emotional performance by transforming each night into a personalized, data-driven recovery journey. Trusted by high achievers, professional athletes, and health-conscious individuals across over 30 countries, we have been recognized by Fast Company as one of the Most Innovative Companies in 2019, 2022, and 2023, and honored twice by TIME's “Best Inventions of the Year.” Our high-performance team operates with speed, focus, and a commitment to impact. We don't just create; we refine and obsess over every detail to ensure our members sleep better and wake up stronger.Every position at Eight Sleep offers the opportunity to innovate cutting-edge technology, collaborate with exceptional talent, and contribute to a future where sleep is a powerful tool for well-being. If you're ready to break away from the ordinary and eager to build at the forefront of possibility, this is your chance to join us in reshaping how the world sleeps and what we can achieve upon waking.Our Culture: High Standards, No CompromiseOur mission demands intensity, and at Eight Sleep, we embody the mindset of the world's top performers: focused, relentless, and committed to being in the top 1% of our field. Inspired by the relentless drive of legends like Kobe Bryant, we apply that mentality to bold ideas, next-gen technology, and impeccable execution. This is not a standard 9-to-5 role; our team is dedicated, often working 60+ hours per week—not out of obligation, but out of passion. If you thrive under pressure and seek to do the most meaningful work of your career, you'll find a home here. If you prefer an easier path, this position is not for you.Your RoleAs a Machine Learning Research Scientist at Eight Sleep, you will be at the cutting edge of sleep innovation. Your mission will be to leverage innovative technology, minimalistic design, and proven clinical science to personalize and enhance sleep experiences, fundamentally changing how people sleep for the better.Our revolutionary temperature-regulated technology, the Pod, has been recognized as a game changer, enhancing health and happiness by transforming sleep. Join us in making sleep count for more.

About EliseAIAt EliseAI, we are revolutionizing the critical sectors of housing and healthcare. Everyone deserves a safe and affordable place to live, as well as access to top-quality healthcare. However, navigating these essentials can often prove to be a challenge. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, lower operational costs, and elevate the user experience for all involved.Housing: We streamline the apartment touring process, facilitate lease signings, enable maintenance requests, and keep renters connected with their property management, consolidating all housing needs into one convenient platform.Healthcare: Our platform simplifies appointment scheduling, streamlines the completion of intake forms, and enhances communication between patients and healthcare providers, allowing everyone to prioritize health over paperwork.With EliseAI, organizations can minimize manual tasks, enhance accessibility, and provide a cohesive experience across essential services. We recently secured a $250 million Series E funding round led by Andreessen Horowitz to further accelerate our mission.About the RoleEliseAI is looking for exceptional individuals in Machine Learning and related fields to become part of our dynamic team. This role is ideal for candidates with a strong mathematical and quantitative background—such as mathematicians, theoretical physicists, or computer scientists—who are eager to tackle real-world challenges. As a Junior Research Scientist at EliseAI, you will join a fast-paced team of world-class researchers focused on pioneering work in machine learning and large language models, creating predictive models to enhance our AI capabilities, and much more. If you excel in a vibrant startup environment and wish to apply your academic expertise to innovative solutions, we invite you to reach out to us.Note: This position includes a 2-month trial period prior to full-time employment.Key ResponsibilitiesDesign and optimize machine learning architectures for advanced conversational interactions.Conduct thorough analyses to inform decision-making processes and enhance the effectiveness of our AI solutions.Collaborate with cross-functional teams to advance our AI research initiatives.

About Wispr FlowAt Wispr Flow, we strive to make device interaction as seamless as conversing with a friend.Wispr Flow has revolutionized voice dictation, now preferred by users over traditional keyboards due to its unparalleled accuracy on the first attempt. Our platform is context-aware, personalized, and effective across all devices, whether desktop or mobile.By 2026, we aim to expand beyond dictation to develop native actions within an agentic framework that comprehends and responds to user needs reliably.Our diverse team comprises AI researchers, designers, growth specialists, and engineers dedicated to reimagining human-computer interaction. We value team members who prioritize open communication, exhibit a user-centric mindset, and pay meticulous attention to detail. Our collaborative environment fosters spirited discussions, truth-seeking, and tangible impact.Having achieved a remarkable 150% revenue growth quarterly for the past year, we have successfully raised $81 million from top-tier venture capitalists and renowned angel investors.

At Scale AI, we are at the forefront of artificial intelligence, driving innovation through our advanced data, infrastructure, and tooling that empower the most sophisticated models worldwide. Our teams thrive at the intersection of pioneering research, extensive engineering, and practical deployment, collaborating with leading labs, enterprises, and government entities to explore the vast potential of Generative AI. As AI technology evolves from static models to dynamic, intelligent systems, Scale AI is dedicated to establishing the essential research foundations, evaluation methodologies, and reinforcement learning infrastructure that will shape this transformative era. Join our high-impact research organization, where you will contribute to advancing large language models, post-training evaluation, and agent-based reinforcement learning environments, influencing the future of AI development and implementation. As the Research Scientist Manager, you will spearhead a distinguished team of research scientists and engineers, define the strategic research roadmap, and oversee projects from initial prototyping to final deployment. You will excel in a fast-paced environment, harmonizing deep technical leadership with effective people management, visionary goal setting, and successful delivery.

Join Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist and be at the forefront of innovative research in the virtual cell space. Our team is dedicated to advancing the field of machine learning and its applications in biological research.

At Sciforium, we are at the forefront of AI infrastructure, creating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial backing from AMD, our team is rapidly expanding to develop the complete stack necessary for cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented Senior Research Scientist with expertise in advanced AI and machine learning. This role entails spearheading innovative research projects focusing on large language models, generative media, model architecture, optimization, and scalable training systems. You will engage directly with contemporary ML frameworks, publish original research, and collaborate closely with engineering teams to transition impactful models into production. This position is perfect for a driven researcher excited about pioneering breakthroughs in AI.What You'll DoLead research initiatives in advanced machine learning topics such as LLMs, generative AI, foundational modeling, optimization strategies, diffusion models, and novel Transformer architectures.Design, implement, and assess new ML algorithms using frameworks like PyTorch and JAX.Conduct large-scale distributed training experiments utilizing multi-GPU/TPU systems and cutting-edge compute infrastructure.Enhance performance through debugging frameworks, optimizing speed, and refining training pipelines.Generate high-quality research outputs including academic papers, internal reports, patents, and reproducible code.Work collaboratively with engineering and product teams to convert research prototypes into robust production systems.Stay updated with the latest research advancements to incorporate state-of-the-art techniques into Sciforium's AI roadmap.Mentor junior researchers and actively contribute to fostering a world-class AI research culture.

Join the innovative team at Sentra, where we are on a mission to create a unique company memory that empowers growing startups to navigate the complexities of scaling. At Sentra, we have engineered a groundbreaking AI teammate that comprehends your organization's context, goals, and culture, providing both individual contributors and leaders with unparalleled visibility into company dynamics and strategic cohesion.Supported by notable investors such as a16z and Together Fund, Sentra collaborates with prominent leaders from top tech firms in Silicon Valley. Our objective? To ensure that companies retain their identity and values as they expand.Your RoleDesign and deploy scalable backend and platform systems.Create LLM agents that seamlessly integrate with extensive datasets.Embrace ownership in a dynamic, fast-paced startup environment.Quickly learn and adjust to new challenges.QualificationsA minimum of 3 years of robust backend and platform engineering experience.Proven ability to work autonomously, learn rapidly, and thrive in a startup atmosphere.Proficient in Python, AWS, SQL databases, and API development.Bonus: Familiarity with LLMs, agentic frameworks, and RAG.What We OfferAttractive salary and equity options.Complimentary meals on in-office days.UberEats credits for your convenience.Comprehensive health insurance (medical, dental, and vision).Gym and wellness memberships including Equinox.Transportation stipend to ease commuting.Flexible time-off policies to promote work-life balance.Competitive compensation, equity, and a range of benefits for a seed-stage startup.

Join OpenAI as a Research Scientist and explore cutting-edge machine learning innovations. In this role, you will be at the forefront of developing groundbreaking techniques while advancing our team's research initiatives. Collaborate with talented peers across various teams to discover transformative ideas that scale effectively. We seek individuals who are passionate about pushing the boundaries of AI and want to contribute to our unified research vision.

Join Our Team as a Research ScientistAt Parallel, we are at the forefront of web infrastructure innovation, enabling businesses across sectors such as sales, marketing, insurance, and technology to harness the power of AI. Our state-of-the-art products empower users to develop superior AI agents with seamless and flexible access to the web.With significant backing of $130 million from prominent investors like Kleiner Perkins, Index Ventures, and Spark Capital, we are dedicated to redefining the web for artificial intelligence. As we expand, we're assembling a top-tier team of engineers, designers, marketers, sales experts, researchers, and operational specialists committed to our vision.Your Role: As a Research Scientist, you will tackle the challenge of training and scaling models designed to enhance web indexing capabilities.About You: You possess a profound understanding of contemporary models and training methodologies. You enjoy engaging in discussions about the convergence of search, recommendations, and transformer models, and are passionate about translating your research into impactful products and systems utilized by millions.

Join Chai Discovery as an AI Research ScientistAt Chai Discovery, we are pioneering the development of advanced AI models aimed at revolutionizing molecule design and transforming drug discovery processes. Our dedicated team is passionate about reimagining how new cures are developed, ultimately aiming to save lives.Founded by a collective of leading researchers and seasoned Silicon Valley operators, our team has achieved groundbreaking milestones in AI applications for biology. Our founders have made significant contributions to protein language modeling and cutting-edge folding algorithms, and have successfully partnered with top pharmaceutical companies to implement AI solutions. We are proud to be supported by prestigious investors such as OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and more.Role OverviewAs an AI Research Scientist, you will engage in innovative research focused on computational modeling for biological applications. Our projects extend beyond protein structure prediction into actual therapeutic engineering, offering you the opportunity to advance the field of AI-driven drug design, alongside a team that embodies a balance of critical thinking and optimistic vision.Your ProfileWe are looking for a driven AI Leader with extensive research experience and a commitment to pushing boundaries in therapeutic design. The ideal candidate should possess:Research Expertise:A Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related discipline.A robust publication record in leading ML or life-science journals (e.g., NeurIPS, ICML, Nature Methods, PLoS Computational Biology, J. Chem. Inf. Model., etc.).Technical Proficiency:Fluency in Python and familiarity with deep learning frameworks.Experience in training and evaluating large models using protein, antibody, or small-molecule datasets, or demonstrable transferable ML skills.Experimental Design & Analysis:Ability to convert scientific inquiries into manageable modeling experiments.Competence in managing extensive biological or chemical datasets, deriving significant metrics, and presenting findings to varied audiences.Collaboration & Communication:A collaborative spirit, eager to work with cross-functional teams including wet-lab scientists, software engineers, and product leaders.

About Plaid Plaid builds tools that help developers create new financial products and experiences. Since 2013, Plaid has connected millions of users to over 12,000 financial institutions across the US, Canada, the UK, and Europe. The company partners with organizations like Venmo, SoFi, Fortune 500 firms, and major banks to make linking financial accounts to apps and services easier. Headquarters are in San Francisco, with offices in New York, Washington D.C., London, and Amsterdam. Team: Data Foundation & AI The Data Foundation and AI team designs and maintains the machine learning and AI infrastructure that supports Plaid’s products. This group transforms Plaid’s financial network data into flexible formats used by teams across the company. Responsibilities span the entire system lifecycle: data curation for pretraining, model development, deployment, serving, and monitoring in production. Role Overview: Senior Machine Learning Engineer (Research Scientist) This position focuses on applied research for Plaid’s foundation model. The Senior Research Scientist leads efforts to design model architectures, set pretraining objectives, and implement fine-tuning strategies that work across a range of product needs. The role also involves building and maintaining production machine learning systems, including training pipelines, model serving, feature engineering, and performance monitoring. Key Responsibilities Design model architectures and define pretraining objectives for Plaid’s foundation model Develop and apply fine-tuning methods for diverse product use cases Build and maintain end-to-end machine learning systems, from data pipelines to model serving Engineer features and monitor system performance in production Create evaluation frameworks to measure model quality across multiple tasks and metrics Location This role is based in San Francisco.

About AlljoinedAt Alljoined, we are pioneering the future of communication between humans and technology by developing non-invasive methods to decode brain activity. By leveraging cutting-edge deep learning techniques on extensive EEG datasets collected through cost-effective hardware, we aim to interpret images, text, and video, with a long-term vision of understanding internal thoughts. Our capabilities are industry-leading, and we are fully vertically integrated. Our mission is to create a universal consumer interface that revolutionizes daily interactions both at home and in the workplace.We are on the lookout for exceptional researchers to expand our elite team, dedicated to creating the next transformative interface that enhances individual lives and contributes positively to society.About the RoleWe invite you to apply for the position of Machine Learning Researcher within our core R&D team. In this role, you will be responsible for conceptualizing and executing advanced machine learning models for EEG-based neural decoding, disseminating impactful research, and establishing the foundational infrastructure for our brain decoding systems. You'll collaborate with top-tier experts in neural decoding and AI, driving innovation in brain-computer interfaces.Key ResponsibilitiesResearch & Model Development:Craft, train, and enhance state-of-the-art deep learning models for neural decoding, utilizing the latest advancements in machine learning architectures such as transformers and diffusion models.Investigate innovative methodologies for modeling high-frequency time-series EEG datasets alongside various other data modalities.Convert research findings into production-ready code that seamlessly integrates with our proprietary brain-computer interface stack.Collaboration & Publication:Work in tandem with a multidisciplinary team of neuroscientists and ML engineers to develop scalable, end-to-end neural decoding solutions.Publish research outcomes in leading ML and AI conferences such as NeurIPS, ICML, ICLR, and CVPR, and actively engage in open-source communities as appropriate.