314 machine learning engineer jobs at 145 companies in Irvington, NJ
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Machine Learning Engineer
New York City, New York, United States
$150k-$200k/yrOnsiteFull Time
Point72: Global alternative investment firm managing capital and venture investments.
PhD or PhD candidate in machine learning, computer science, or an AI-related field; deep learning, forecasting, research, programming, and machine learning library experience required.
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.
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.
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
Affinity: Relationship intelligence platform for financial dealmakers.
5+ YOE5+ years software engineering/ML experience, production ML deployment, ranking/recommendation systems, Python and ML frameworks (PyTorch, Scikit-learn), vector/graph DB exposure, observability and A/B testing experience.
Kensho: Developing AI and machine learning for financial data analysis.
3+ YOEBachelor's degree in computer science, engineering, or related field; 3+ years of machine learning experience; strong Python, NLP, retrieval, production ML, and LLM orchestration skills.
3+ YOEBachelor's degree in computer science, engineering, or related field; 3+ years of hands-on machine learning, NLP, and information retrieval experience; strong Python and production ML lifecycle experience.
3+ YOEBachelor's degree or higher in computer science, engineering, or related field; 3+ years of hands-on machine learning, NLP, and information retrieval experience; strong Python and production ML lifecycle experience.
Singapore or Shanghai or Hong Kong 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, PyTorch/TensorFlow/JAX; distributed computing and data pipeline optimization; strong debugging and collaboration skills.
WireScreen: Maps and analyzes Chinese corporate networks and supply chain risks.
4+ YOE4+ years on clustering/ML problems, end-to-end production ML experience, strong Python and SQL skills, experience with entity resolution/knowledge graphs preferred, model evaluation and large-scale data processing experience.
Clera: AI talent agent matching professionals with high-growth startup roles
8+ YOE8+ years ML engineering experience in healthcare with HIPAA-compliant systems, end-to-end ML lifecycle ownership, MLOps, cloud and container experience.
CLEARNYSE: YOU: Secure biometric identity platform for travel and venue access
3+ YOE3+ years building and scaling ML models, experience with data pipelines, feature engineering, model deployment and monitoring; strong Python and communication skills.
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOE2+ MgmtBachelor's degree, 6+ years designing data-intensive distributed-computing solutions, 4+ years programming in Python, Scala, or Java, and 2+ years building and optimizing machine learning systems.
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.
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
VideaHealth: AI-powered diagnostic software for dental imaging and practice management.
4+ YOE4+ years building and deploying production ML systems, deep expertise in an ML engineering area, strong Python development with testing and CI/CD, familiarity with clinical/EHR data, monitoring and model reliability, and strong communication.
Berkadia: Commercial real estate financing, investment sales, and servicing.
6+ YOE6+ years of Python-focused software development; machine learning and generative AI systems; AI agents and evaluation harnesses; cloud infrastructure, MLOps, unstructured data, Agile, and CI/CD.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOEHands-on ML engineer with expertise in model development, MLOps, deployment, feature engineering, and scalable ML pipelines; strong Python, cloud, and data engineering skills.
EntravisionNYSE: EVC: Operates Spanish-language media stations and provides digital advertising solutions.
5+ YOE5+ years data science experience, strong coding in Python/Scala/Java, production algorithm development, statistics, deep learning, SQL, Git/Bitbucket, mentoring and strong English 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.