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.
Los Gatos, CA30+ days ago
p>Our goal in the Identity & Signals Science team is to deepen our understanding of our ad-tier members, in order to improve advertiser performance and ensure a great member experience. This role is for a Research Scientist to focus on signal privacy, including differential privacy in 3rd party signals, privacy enhanced technologies in ad targeting, ranking and optimization, and privacy related policy.
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.
Santa Clara, CA30+ days ago
p>What we need to see: PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with 3+ years of post-PhD research experience and a strong record of impactful publications in top circuit, architecture, EDA, or AI/ML venues; with a proven ability to set research direction and translate ideas into tools or products.
Leadership & Collaboration: experience in leading research projects or teams, with a track record of mentoring junior scientists or interns, driving cross-functional initiatives with circuits/VLSI/architecture groups, and fostering collaborations with academia or industry.