393 ai research engineer jobs at 163 companies in Berkeley, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
AccentureNYSE: ACN: Global provider of management consulting and technology services.
3+ YOEBachelor's degree in CS/AI or related field; at least 2 years in advanced R&D engineering for AI/HCI/HRI; 3 years of rapid prototyping experience.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
MS or PhD in CS or CE; deep ML/AI expertise with transformers and foundation models; strong software practices; experience prototyping and evaluating research to production.
Bosch: Global manufacturer of automotive and industrial engineering technology.
Bachelor's degree in CS/engineering, strong Python software engineering, hands-on experience with LLMs and agentic systems (tool use, planner-executor, RAG), ML fundamentals, experiment design, and strong communication skills; industrial research experience preferred.
Zero RFI: AI-native holding providing construction management and technology solutions.
3+ YOEAdvanced degree or equivalent experience in CS/AI,3+ years building and deploying ML models,deep learning,computer vision,3D geometry,Python and ML tooling experience.
Code Metal: Verifiable AI-powered code translation for mission-critical industries.
3+ YOEBachelor's or Master's in a technical field (or equivalent), 3+ years building AI/ML or applied research systems, strong Python and PyTorch skills, experience with LLM tooling, fine-tuning, retrieval, agentic systems, and experiment design; eligible to obtain U.S. security clearance.
Level AI: AI-native platform for contact center intelligence and automation
6+ YOE6+ years applying ML/AI in production, deep learning and LLM expertise, Python and PyTorch proficiency, experience training/serving large models, distributed training, strong communication and technical leadership.
Agility Robotics: Develops bipedal humanoid robots for industrial warehouse automation.
7+ YOE7+ years software/AI/robotics experience, 3+ years hands-on RL/imitation learning or LfD deployments, MS in Robotics/CS preferred, strong Python and PyTorch skills, experience with robot hardware and sim-to-real workflows, mentoring experience.
Python, PyTorch, DiffusionPolicy, Mujoco, Isaac Sim, C++
Mimic: Developing AI-powered dexterous robotic hands for industrial automation.
3+ YOEPhD (or equivalent) in CS/Data Science/Robotics, 3+ years training generative models, 4+ years developing Python code, strong empirical research skills, project management experience, and fluent English.
Centific: Providing data curation and platforms for scalable AI deployment.
2+ YOEMaster's degree in CS/EE (PhD preferred),2+ years industry or applied research experience in speech/audio ML or multimodal systems,proficiency in Python and PyTorch,knowledge of speech processing and LLM architectures.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
12+ YOE12+ years applied AI/ML experience in AI-for-code, strong Python and software engineering, hands-on LLM fine-tuning and evaluation, experience building coding agents and shipping research into product, familiarity with CUDA and NVIDIA tooling.
Chan Zuckerberg Biohub: Builds AI-powered technologies for biomedical research and disease study.
Experience building and scaling deep learning systems; strong engineering and scientific fundamentals; comfort with ambiguity; excellent communication across technical and scientific audiences.
Deep learning, Distributed systems, RL, Multi-agent systems, AI foundation models
Lawrence Berkeley National Laboratory: Conducts scientific research to address global challenges.
3+ YOEMaster's (3+ yrs) or Bachelor's (5+ yrs) in CS/physics/engineering (or equivalent); experience developing/deploying scientific software; proficiency in Python, ML methods, version control, testing, and documentation; strong communication and teamwork.
Decagon: Conversational AI platform for automated customer support.
2+ YOE2+ years AI/ML engineering or research experience, experience training and deploying LLMs, fluency in Python and modern ML tooling, track record of productionizing research.
Senior AI/ML Research Engineer – Model development
Sunnyvale, California, United States
$167k-$283k/yrOnsiteFull Time
IntuitiveNASDAQ: ISRG: Robotic-assisted systems for minimally invasive surgery.
5+ YOEMS or PhD in CS/EE/Robotics, 5+ years applied AI/ML research experience; experience training/fine-tuning multimodal/foundation models, simulation-to-real workflows, and strong Python/C++ and PyTorch/TensorFlow/JAX skills.
ByteDance: Developing AI-driven content platforms and mobile applications.
3+ YOEPhD in EE/CS/Physics or related, 3+ years research in ML algorithms or AI accelerator design, proficiency in C/C++, MATLAB, Python, and experience with FPGA prototyping and system evaluation.
Console: Automates IT support and internal operations using AI agents.
Experience building production AI systems, evals, model adaptation, and applied research engineering to improve agent behavior in real-world conditions.
EnCharge AI: Develops energy-efficient analog in-memory AI hardware and software systems.
5+ YOE5+ years in ML research/systems, strong Python and PyTorch, hands-on with transformers/diffusion models, fine-tuning and evaluation pipelines, hardware-aware ML optimizations and benchmarking experience.
Nimble: Building autonomous robotic systems for supply chain fulfillment.
Masters or Ph.D. in Robotics or Computer Science; experience with deep learning for robotic manipulation or mobility; real robot hardware experience; simulation and data collection; publication or deployment track record.
diffusion models, vision-language models, reinforcement learning, robotics hardware, simulation, data pipelines, data labeling