p>Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). About Nimble
Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce.
San Francisco, CA8 days ago
li>Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands‑on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA.
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform.
p>If you are unable to submit your application electronically through your CalCareers account, please email apply@cdph.ca.gov for assistance and a CDPH Human Resources Division staff member will contact you to assist with the online application process or, a hard copy application package may be submitted through an alternative method as explained in the How to Apply section below. For experience/education to qualify during the application screening process, and to ensure that minimum qualifications can be determined, applicants should include all employment history on the Employment Application (STD 678) and/or Resume, including detailed job descriptions, hours worked per week, and start/end dates (MM/DD/YYYY).
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
San Francisco, CA30+ days ago
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Mountain View, CA30+ days ago
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Berkeley, California30+ days ago
We help steer and grow the AI safety field through developingresearchroadmaps with renowned researchers such as Yoshua Bengio; running FAR.Labs, an AI safety-focused co-working space in Berkeley housing 40 members; and supporting the community through targeted grants to technical researchers. Interpretability: Findingissueswith Sparse Autoencoders, probing deception using AmongUs, understanding learned planning in SokoBan and interpretable data attribution.
p>The Yang Lab in the Department of Microbiology & Immunology at Stanford University School of Medicine is currently recruiting for an experienced virologist to join our lab as a Basic Life Science Research Scientist and work with an interdisciplinary team to develop prototype drugs targeting Epstein-Barr virus (EBV). The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.
Mountain View, CA30+ days ago
p>In order to set you up for success as a Research Scientist on the Gemini Safety team, we look for the following skills and experience: - PhD in Computer Science, a related field, or equivalent practical experience.
Key Responsibilities:
- Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities.
Mountain View, CA30+ days ago
At Google DeepMind, were a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence and ultimately achieve Artificial General Intelligence. We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMinds Frontier AI unit.
Mountain View, CA21 days ago
Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more. You will be working on enabling robots to perform human level manipulation, using frontier robotics models for general purpose dexterous tasks reaching human level performance on real world applications.
Burlingame, CA30+ days ago
p>• Drive research on improved machine learning models for speech quality • Run computational experiments and report findings • Implement ML models that emulate aspects of human auditory perception • Develop next-gen audio quality models • Independently implement ML training pipelines, models, and evaluation frameworks • Regularly report on project progress, dependencies, and risks to stakeholders • Support research scientists and engineers within the team • Execute on applied coding tasks in support of the teams goals. The role requires independently implementing end-to-end ML pipelines, data preparation, model training, hyperparameter tuning, and evaluation using metrics like Mean Absolute Error (MAE), Pearson correlation, Signal-to-Noise Ratio (SI-DR), PESQ, and STOI.
Mountain View, CA28 days ago
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
San Francisco, CA26 days ago
Research and implement reinforcement learning techniques - including GRPO, RLHF, RLAIF, DPO, and reward modeling - and translate them into data products (preference datasets, reward signals, verifiable rewards) that customers can use to train and fine-tune large language models. Stay current with the latest developments in large-scale muli-node LLM training, alignment research, and scalable RL methods (on complex environments such as Terminal-Bench), bringing relevant advances into Snorkel''s data-as-a-service approach.
MongoDB's unified database platform-the most widely available, globally distributed database on the market-helps organizations modernize legacy workloads, embrace innovation, and unleash AI. With offices worldwide and nearly 60,000 customers-including 75% of the Fortune 100 and AI-native startups-relying on MongoDB for their most important applications, we're powering the next era of software.
Redwood City, CA30+ days ago
Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success. D. in machine learning or a related field with a strong publication record is preferred, but we also welcome applications from those with equivalent expertise gained through industry experience, research labs, or other career paths.
Palo Alto, CA30+ days ago
MongoDBs unified database platformthe most widely available, globally distributed database on the markethelps organizations modernize legacy workloads, embrace innovation, and unleash AI. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models.
The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanfords extensive range of benefits and rewards offered to employees. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
The RSM supports CLPPB's informatics needs; provides technical leadership and acts as the informatics subject matter expert; advises leadership on strategic questions related to data workflows with validation processes, data dashboards and interactive maps; collaborates with end users to develop, harmonize, and modernize data systems; engages with developers and system administrators to ensure that the data systems interoperate with departmental and analytical resources; maintains data security and confidentiality process and expertise for public health data; supports administrative functions for informatics projects; and supervises multidisciplinary staff. Under the general direction of the Childhood Lead Poisoning Prevention Branch Manager (Environmental Program Manager II), the Research Scientist Manager (RSM) serves as primary advisor on implementation of CLPPB's program as related to case management, environmental investigation, research and surveillance; development and coordination of program informatics; and development of collaborative engagements among other CDPH programs and local government lead programs.
Youll own ambiguous, hard research problems end-to-end: forming hypotheses, designing experiments, building the training/eval/data needed to test them, and pushing results into the next model. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering.
Menlo Park, CA30+ days ago
p>At the intersection of autonomous agents and large language models (LLMs), you will build the models and systems that turn enterprise data into self-directed, decision-making agents-shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars. Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas.
San Francisco, California3 days ago
San Francisco, California30+ days ago
Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. Proven track record of impactful research, evidenced by publications in NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or similar top-tier venues.
San Francisco, CA30+ days ago
You will:Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution. A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).Experience and track of recording in landing major research impacts in a fast-paced environmentExperience leading or managing research teams.
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.