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, CA9 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.
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.
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.
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, California4 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, CA27 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.
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.