451 ml research engineer jobs at 172 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.
Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years ML research or ML systems experience; strong Python and PyTorch/JAX/TensorFlow skills; experience with Transformers, diffusion models, RLHF, and building reproducible research-to-production pipelines.
Omnifold: AI-powered forecasting and planning platform for supply chains.
5+ YOE5+ years ML engineering with forecasting/optimization; knowledge of LLMs and real-world data; experience with large codebases; academic or industry research preferred.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience across the full ML lifecycle including training infrastructure, performance optimization, data pipelines, and production deployment to support next-generation video technology.
Senior Applied ML Research Engineer, Agentic Security
San Francisco or New York City or Amsterdam or Paris or London
RemoteFull Time
Dynamo AI: A building enterprise-grade tools for trustworthy generative AI with real-time guardrails, red-teaming, and observability.
Research and engineering experience in ML/CS; experience fine-tuning and evaluating models, writing production code, and building evaluation/monitoring infrastructure. MS or PhD in CS/ML or equivalent research experience preferred.
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.
ML Systems Research Engineer, RL / Inference / Evaluation
Santa Clara, California, United States
$179k-$306k/yrOnsiteFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Build RL, inference, and evaluation infrastructure for ML systems; strong Python and ML framework experience; distributed systems and experiment management; BS in CS/CE/EE/ML or equivalent.
Python, PyTorch, JAX, TensorFlow, Kubernetes, Ray, Slurm, ROCm/HIP, CUDA
Arcada: A small, deeply technical team evaluating AI models and real-world performance.
Experience training, fine-tuning, or evaluating models, including LLMs, reward models, preference models, or RLHF/DPO-style systems; strong research background; familiarity with AI systems and model evaluation.
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
Expert-level PyTorch; production ML software engineer; large language model training; evaluation metrics; ML lifecycle expertise; track record shipping production ML.
PyTorch, Python, Machine Learning tooling, Production code
TikTok: Global short-form video hosting and social media platform.
BS/MS in quantitative field, research or industry experience in ML/DL/statistics, proficient in C/C++ and Python, familiar with TensorFlow/PyTorch/MXNet, Hadoop and Spark, experience with LLM/RL preferred.
DatologyAI: Automated data curation for efficient AI model training.
4+ YOEBachelor's or equivalent, 4+ years research lab experience, strong ML systems and distributed training background, software engineering and empirical research skills; PhD preferred; publication/open-source contributions valued.
Collinear: Builds simulation platforms to improve AI agent reliability.
Bachelor’s, Master’s, or PhD in a technical field; strong software engineering; ML foundation models; RL or simulation experience; Python CLI-first development; reproducible research.
Experienced in biomolecular modeling and ML for drug discovery; ability to fine-tune protein/structure models, build ML systems that integrate with wet-lab workflows, and evaluate model impact on drug development.
Research Engineer / Research Scientist - RE / RS - Proactivity
San Francisco, California, United States
$295k-$555k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Strong ML engineering and research experience with LLM post-training, reinforcement learning, dataset creation, evaluations, and ability to work in a large ML codebase.
Resolution: Conducts research on aligning artificial superintelligence with human intent.
Strong software engineering with production Python, ML framework experience (PyTorch or Jax), distributed-training knowledge, ability to ship complex systems, bachelor's degree (or equivalent) in CS/physics/math/ML, and motivation for ASI alignment.
Canva: Online graphic design platform for creating and editing visual content.
5+ YOE5+ years ML research or research engineering; experience shipping LLM-powered systems; Python and PyTorch; multimodal models; agent planning, memory, and evals; strong experimentation.
World Labs: Building foundational AI models to perceive and simulate 3D worlds.
5+ YOE5+ years building and shipping production systems; strong in at least one area of ML infra, distributed systems, data systems, or research tooling; Python expert; experience with ML researchers; high ownership mindset.