1,451 machine learning researcher jobs at 536 companies in United States
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Machine Learning Researcher
El Segundo, California, United States
OnsiteFull Time
Rainmaker Technology Corporation: Cloud-seeding technology using drones and radar to enhance precipitation for agriculture, ecosystems, and water supplies.
Exceptional machine learning research and engineering ability, modern ML methods, strong Python and ML framework experience, statistical judgment, and ability to develop prototypes from ambiguous scientific problems.
Lawrence Livermore National Laboratory: Federally funded research and development center for national security.
8+ YOEPh.D. or equivalent in computer science, applied mathematics, statistics, or related field; 8+ years post-Ph.D. research experience; advanced machine learning, data analysis, team leadership, and technical communication skills.
Cubist Systematic Strategies: Cubist is Point72’s private systematic investment business, designing computer-driven trading strategies across multiple liquid asset classes.
PhD student in machine learning, computer science, statistics, or related field with strong quantitative skills, independent large-dataset research experience, and Python, R, or Matlab programming.
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Conduct machine learning research in speech, tackle long-term research problems, collaborate with engineers and researchers, and contribute publishable results.
MSCINYSE: MSCI: Public financial data and analytics providing indexes, risk tools, and investment insights to global investors.
PhD in a quantitative field, strong ML research record, programming expertise, publication history, and ability to communicate complex ideas to technical and business stakeholders.
Jane Street: A global quantitative trading firm and liquidity provider.
Practical experience on empirical ML problems, strong mathematical thinking, fluency across ML approaches, hands-on coding in Python, and research curiosity; will participate in hiring and conferences.
Rainmaker Technology Corporation: Cloud-seeding technology using drones and radar to enhance precipitation for agriculture, ecosystems, and water supplies.
Experienced ML researcher/engineer with strong Python and modern ML framework skills, ability to work with multimodal geospatial data, design experiments, and deliver operational prototypes.
Citadel: Private multi-strategy alternative investment manager serving public and private institutions through global market strategies.
PhD in a quantitative field, advanced machine learning or statistics research, Python or C++ programming, data-driven research, algorithm development, and strong problem-solving and communication skills.
MSCINYSE: MSCI: Public financial data and analytics providing indexes, risk tools, and investment insights to global investors.
PhD in a quantitative field; strong ML/programming skills; interest in quantitative finance; publication preferred; ability to communicate with technical and business stakeholders.
Jane Street: A global quantitative trading firm and liquidity provider.
Undergraduate, PhD student, or postdoc with practical ML experience; fluent in Python and an ML framework; strong mathematical and problem-solving skills; able to implement and iterate on models quickly.
Scientech Research: Privately held quantitative trading and investment adviser using statistical models and technology across global financial markets.
Bachelor’s degree or higher in quantitative field; strong ML foundation; Python and DL frameworks; time series/NLP experience; finance interest.
MSCINYSE: MSCI: Public financial data and analytics providing indexes, risk tools, and investment insights to global investors.
PhD in a quantitative field; strong interest in quantitative finance; expert programming skills; publication record preferred; ability to communicate complex ideas clearly.
Citadel Securities: Private global market maker providing liquidity and trade execution to institutional and retail investors.
PhD in a quantitative field with strong research track record in statistics, machine learning or AI; hands-on programming in Python or C++; experience with large/unstructured datasets, model back-testing, and clear communication of results.
Qualcomm Technologies, Inc.: Developing semiconductor, wireless, connectivity, automotive, AI, and computing technologies for device and enterprise customers.
0.5+ YOEMaster's in CS/CE/EE +2 years experience or PhD; 6+ months developing/optimizing ML models/systems; publications and leadership interaction preferred; strong communication and independent research ability.
IMCNYSE American: IMC: Global proprietary trading firm and technology-driven liquidity provider.
Advanced degree (PhD preferred) in a technical field, experience applying deep learning or academic publications, proficiency in Python/C/C++, strong statistical and analytical skills; able to start Feb or Aug 2027.
Susquehanna International Group: Global quantitative trading and technology firm.
5+ YOEPhD in CS/ML/math/physics/statistics,5+ years applying deep learning in research or industry,strong publication record,Python/C++ proficiency,experience with PyTorch or TensorFlow and time-series DL,strong math/statistics and problem-solving.
Susquehanna International Group: Global quantitative trading and technology firm.
5+ YOEPhD in relevant field, 5+ years building deep learning systems, strong publication record, Python/C++ proficiency, PyTorch or TensorFlow experience, time-series and deep learning expertise, strong math/statistics and collaboration skills.
IMCNYSE American: IMC: Global proprietary trading firm and technology-driven liquidity provider.
Final-year student graduating in 2027; MSc required and PhD preferred in a quantitative field, strong ML/statistics research foundations, Python and PyTorch proficiency, and no finance experience required.
D. E. Shaw Research: Private computational-biochemistry research developing supercomputers, software, and precisely targeted drugs for disease treatment.
Strong Python programming skills, experience applying machine learning to scientific problems, track record of innovation; familiarity with deep learning, high-performance computation, numerical algorithms, or related domains preferred.