250 machine learning researcher jobs at 103 companies in Pinole, CA
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AIML - Machine Learning Researcher, Speech
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Conduct machine learning research in speech, tackle long-term research problems, collaborate with engineers and researchers, and contribute publishable results.
MSCINYSE: MSCI: Provides financial data, analytics, and risk management solutions.
PhD in a quantitative field, strong ML research record, programming expertise, publication history, and ability to communicate complex ideas to technical and business stakeholders.
MSCINYSE: MSCI: Provides critical decision support tools for the investment community.
PhD in a quantitative field; strong interest in quantitative finance; expert programming skills; publication record preferred; ability to communicate complex ideas clearly.
MSCINYSE: MSCI: Provides investment decision support tools and financial analytics.
PhD in a quantitative field; strong ML/programming skills; interest in quantitative finance; publication preferred; ability to communicate with technical and business stakeholders.
PinterestNYSE: PINS: Visual discovery engine for finding and saving ideas.
6+ YOEMS/PhD in a related field, 6+ years of industry experience, machine learning or information retrieval expertise, research experience, analytical problem-solving, and proficiency in a systems language or ML framework.
Onepot: An automation combining artificial intelligence and advanced robotics to accelerate chemistry research.
Strong machine learning fundamentals, modern empirical ML expertise, model training experience, and familiarity with PyTorch or other ML frameworks; no formal education required.
Tacit: Developing advanced hardware to rethink human-computer interaction.
PhD or equivalent experience in ML/computational neuroscience, expertise in deep learning, proficiency in PyTorch/TensorFlow and Python, experience deploying models, strong communication and collaboration skills.
WindBorne Systems: Operates smart weather balloons to provide global atmospheric data.
Strong ML research and engineering skills with Python and PyTorch, experience with large messy datasets, research taste, and ability to convert experiments into reusable systems.
Rad AI: Generative AI platform for radiology report automation and workflows.
6+ YOEMS/PhD or equivalent; 6+ years applied ML research; prior people management or team lead experience; strong NLP/LLM and transformer expertise; experience taking research to production; collaboration and communication skills.
FreenomeNASDAQ: FRNM: Develops blood tests for early cancer detection using machine learning.
6+ YOEPhD in quantitative field with 6+ years post-PhD industry/postdoc experience in applied ML/DL; demonstrated publications or impact; proficiency in Python/R/C/C++/Java; experience with deep learning, supervised/self-supervised/contrastive learning.
BigHat Biosciences: Develops antibody therapies using artificial intelligence and synthetic biology.
5+ YOEPhD in ML/CS or hard sciences with 5+ years post-PhD experience, strong ML research record, Python/PyTorch proficiency, biomedical domain knowledge, and leadership/mentorship experience.
Profluent: Designs functional proteins using deep generative AI models.
PhD or equivalent experience in ML/CS/comp bio, experience pretraining large-scale models for biomolecular domains, publications or industry pretraining experience, proficiency with Pytorch or Jax, strong research and prototyping skills.
Volkswagen GroupFrankfurt Stock Exchange: VOW3: Global manufacturer of motor vehicles and automotive financial service provider.
Masters or PhD candidates with GPA≥3.0; strong Python and Linux skills; experience with TensorFlow or PyTorch; knowledge of image processing and machine learning; ability to work independently and in teams.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
3+ YOEMaster's or PhD in CS/EE/Robotics/related, 3+ years hands-on computer vision experience (object detection), proficiency in Python and deep learning frameworks, experience with model training, evaluation, optimization, quantization, and deployment.
One Robot: Developing world models for robot simulation and policy evaluation.
Enrolled in BS/MS/PhD in ML/robotics/vision, strong Python and PyTorch skills, hands-on generative model or policy training experience, ability to work in-person in San Francisco.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
Proven track record shipping deep learning systems to production; expert in deep learning, proficiency in Python, C++ and CUDA, PyTorch; experience with real-time systems/robotics; leadership and mentoring ability.