221 research machine learning jobs at 85 companies in New York City, NY
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Machine Learning Research Lead
Chicago or New York City
$250k-$300k/yrOnsiteFull Time
IMC: Global proprietary trading firm and market maker.
4+ YOEMaster’s or PhD in a quantitative field, 4+ years building applied machine learning models, Python and ML library expertise, predictive modeling in low-latency environments, and strong communication skills.
Chicago or Amsterdam or Hong Kong or London or Mumbai or New York or Sydney
$300k/yrOnsiteInternship
IMC: Global trading firm providing liquidity to financial markets.
Current advanced-degree student (PhD preferred) graduating Sep 2027–Jul 2028; experience applying deep learning or publications; programming in Python/C/C++; passion for research; must start in-person June 7, 2027.
Tower Research Capital: Global quantitative trading firm developing automated algorithmic strategies.
Requires deep Python and software design expertise, applied ML with PyTorch or TensorFlow, distributed GPU computing with Ray, Dask, or PyTorch Distributed, AI agent workflows, and systems profiling.
Students pursuing an advanced degree with coding proficiency in Python, Rust, or C/C++, familiarity with PyTorch, TensorFlow, or JAX, and strong machine learning engineering skills. No finance experience required.
Point72: Global alternative investment firm managing capital and venture investments.
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.
Citadel: Global alternative investment management firm
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.
Jane Street: Proprietary quantitative trading and technology firm.
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.
Citadel Securities: Global market maker providing liquidity for financial markets.
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.
United Kingdom or United States or Canada or California or New York City or Washington
$111k-$167k/yrOnsiteMultiple Commitments Available
Epic Games: Develops video games and licenses the Unreal game engine.
Current or recent PhD, or MSc, in computer science, mathematics, AI, or related field; ML model experience; deep learning knowledge; Python and ML stack skills; existing UK, US, or Canadian work authorization.
Susquehanna International Group: Global quantitative trading and market making 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.
San Jose or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
$128k-$317k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Bachelor's degree in a related technical field, machine learning and deep learning knowledge, Python and PyTorch proficiency, research mindset, and engineering skills.
Jane Street: 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.
D. E. Shaw Research: Developing custom supercomputers for biomolecular simulation and drug discovery.
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.
ML Research Scientist (MLRS) - Representation Learning for Molecular AI
San Francisco or New York City
$165k-$259k/yrHybridFull Time
Achira: AI foundation models for atomistic simulation and drug discovery.
Industry post-degree ML research experience, proficiency in Python and modern ML frameworks (PyTorch, JAX), experience with 3D geometric deep learning and large-scale ML experiments, strong communication and research impact (publications or talks).
Susquehanna International Group: Global quantitative trading firm specializing in proprietary financial markets.
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.
Susquehanna International Group: Global quantitative trading firm providing proprietary financial market liquidity.
5+ YOEPhD in a quantitative field,5+ years building deep learning systems,publication record in top ML conferences,Python/C++,PyTorch or TensorFlow,deep learning on time series,strong math and problem-solving skills;visa sponsorship available.
Machine Learning Infrastructure Engineer, Safeguards Research
San Francisco or New York City
$350k-$500k/yrHybridFull Time
Anthropic: Developing safe and reliable artificial intelligence systems.
Proven software engineering with Python, experience building and operating data-intensive or distributed systems, tooling for researcher workflows, debugging performance and correctness, and strong communication skills.
Pangram Labs: Detects AI-generated text and verifies content authenticity.
Bachelor's or master's in computer science or related field; practical deep learning experience, strong Python and ML framework skills, transformer and LLM knowledge, and cross-functional research-engineering ability.
Graham Capital Management: Manages alternative investment funds using quantitative and discretionary macro strategies.
3+ YOE3+ years in ML/statistics on large unstructured data; degree in CS/Engineering/Operations Research; strong Python/C++ and data-processing skills; able to communicate findings and deploy models in containerized environments; experience with time series and cross-team collaboration.