396 machine learning jobs at 204 companies in New York
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Machine Learning Engineer, Wallet Intelligence and Machine Learning
New York City, New York, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Develop on-device machine learning models and analytical solutions to detect and prevent fraud while preserving user privacy; strong ML and system-design skills and collaborative mindset.
Morgan StanleyNYSE: MS: Global financial services firm providing investment and wealth management.
8+ YOE8+ years in applied ML/AI or quantitative field, strong ML/deep learning experience, production deployment experience, programming in SQL/Python/R, familiarity with cloud platforms and model governance.
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
8+ YOE8+ years in ML/data science, experience building and deploying production ML solutions, strong statistical and deep learning knowledge, proficiency in SQL/Python/R, cloud and versioning tools, leadership and stakeholder communication.
Vancouver or Burnaby or Toronto or Calgary or Canada or Dublin or London or New York City or Sydney
$129k-$175k/yrHybridFull Time
Clio: Cloud-based legal practice management software and AI solutions.
Experience building ML, NLP and transformer-based models; data preprocessing for unstructured datasets; experience with LLMs and agentic frameworks; strong communication and rapid learning ability.
Casap: A building AI-native disputes automation and fraud prevention platform.
3+ YOE3+ years designing and deploying ML models in production; strong ML algorithms and data analysis; building ML infra; Python/R and ML frameworks (TensorFlow, PyTorch, scikit-learn).
Root Access: AI-native developer tools for embedded and hardware engineers.
4+ YOEMaster's or Ph.D. in a quantitative field,4+ years deep learning with PyTorch or JAX,SciML experience with PINNs/FNOs,strong PDE and numerical optimization knowledge,Python data pipeline experience.
EntravisionNYSE: EVC: Operates Spanish-language media stations and provides digital advertising solutions.
2+ YOE2+ years data science experience; strong coding in Python, Scala, Java; production algorithm development; SQL and data warehousing; Bitbucket/Git; deep learning, statistical methods, problem solving, communication, and mentoring skills.
Python, Scala, Java, Bitbucket, Git, SQL, data warehousing
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
6+ YOEExperience in compiler development, computer architecture, machine learning, and software engineering; degree in CS/math/engineering; strong communication and research skills; experience with ML compiler tools and generative AI workflows.
Mountain View or Bellevue or Seattle or New York City or California or United States
$166k-$273k/yrHybridFull Time
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Expertise in machine learning and deep learning for user behavior modeling, proficiency with Python and PyTorch, metric design, large-scale data analysis, and ability to drive end-to-end projects.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
7+ YOEBachelor's in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning and feature engineering, cloud (AWS) and big data tech, leadership and observability experience.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOEBachelor’s in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning/statistics, experience with Spark, Databricks, AWS services, Kafka/Kinesis, Datadog, REST, and leadership/mentoring skills.
Shanghai or Hong Kong or Singapore or New York City
HybridFull Time
Tower Research Capital: Global quantitative trading firm developing automated algorithmic strategies.
2+ YOE2+ years building large-scale distributed systems; strong Python; experience with Linux HPC or cloud, GPU workloads, and modern ML frameworks (PyTorch, TensorFlow, JAX); distributed computing and data-pipeline skills; strong communication.
Jane Street: Global quantitative trading firm and liquidity provider.
Undergraduate or PhD student with practical ML model training or ML library experience, strong programming ability, intellectual curiosity, and collaborative mindset.
NYU Langone Health: Academic medical system providing comprehensive patient care and education.
1+ YOEBachelors in CS or related, 1+ years AI solution development experience, strong Python skills, knowledge of ML/DL, experience with PyTorch or TensorFlow, and cluster/compute frameworks (HPC, Spark, Kubernetes).
Colgate-PalmoliveNYSE: CL: Manufactures and sells oral, personal, home, and pet care.
3+ YOEBachelor's degree in a high-rigor field, 3–6+ years technical ML/engineering experience (depending on degree), expertise in Python/SQL, Airflow, dbt, CI/CD, Docker/Kubernetes, and strong statistical modeling skills.
SkyLinkBME: AMS: AI-powered corporate travel booking and management platform.
2+ YOE2+ years MLE/Software experience; strong NLP/LLM knowledge; chatbot/AI agent experience; API access to LLMs; strong Python; data curation and testing; shipping mindset.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience shipping ML/LLM features to production, evaluation harnesses, LLM APIs/fine-tuning/retrieval experience, production-quality code, strong communication and problem framing skills.
Kepler: Builds a verification layer for the AI stack.
5+ YOE5+ years building production software with shipped ML systems (fine-tuning, agents, retrieval, extraction); strong engineering fundamentals; eval-driven development; comfortable with backend systems and model selection.
Cursor, Claude Code, Rust, TypeScript, React, PostgreSQL, AWS, Claude, GPT
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.