187 senior machine learning engineer jobs at 101 companies in Jericho, NY
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Senior Machine Learning Engineer
San Francisco or New York or United States
$160k-$235k/yrHybridFull Time
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.
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.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years in production ML engineering; strong CS/math background; backend microservices; cloud (AWS); data pipelines; ML Ops; leadership and collaboration.
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.
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.
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.
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.
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
Senior Machine Learning Engineer, AI Agent Platform
New York City, New York, United States
$105k-$230k/yrOnsiteFull Time
GEICO: Provides vehicle and property insurance services to consumers.
5+ YOE5+ years software development; 4+ years AI/ML platform experience; 3+ years end-to-end software lifecycles; Bachelor's in CS/Engineering; strong communication.
Movable Ink: Provides AI-powered content personalization for digital marketing campaigns.
5+ YOERequires 5+ years in AI/ML development, a master's degree or higher, deep learning expertise, PyTorch or TensorFlow, Python, scalable production ML systems, and technical leadership skills.
PyTorch, TensorFlow, Python, scikit-learn, XGBoost, Spark, Google Cloud Platform
SpotifyNYSE: SPOT: Digital music, podcast, and video streaming service.
5+ YOE5+ years of production ML experience; strong background with large language models and conversational/agentic systems; ability to design metrics and evaluation pipelines; reliable, scalable ML systems; cross-functional collaboration.
Beast Industries: Produces digital media and consumer goods for MrBeast brands.
8+ YOE8+ years in software or ML engineering with production ML deployment experience, strong Python and software engineering skills, systems design experience, experimentation-driven decision making, and mentorship ability.
Chicago or New York City or San Francisco or Seattle or Sunnyvale
$182k-$202k/yrOnsiteFull Time
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
4+ YOE4+ years building ML models; BS in CS/CE or related; experience with PyTorch, causal inference or constrained optimization preferred; product and marketplace experience a plus.
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yrHybridFull Time
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOE10+ years applying machine learning and optimization to production systems; deep statistics/ML expertise; production ML lifecycle experience (feature engineering, model serving, monitoring); strong software skills in Python, SQL, Java/Scala; excellent communication.
Clearview AI: Provides facial recognition software for law enforcement and government.
Expertise building, training, evaluating, and deploying large-scale ML/CV models; strong software engineering; experience with PyTorch or JAX; BS/MS/PhD in CS or related field or equivalent experience.
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yrHybridFull Time
Absentia Labs: AI-native toxicology platform accelerating drug safety and discovery.
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.
DailyPay: Provides a platform for instant access to earned wages.
5+ YOE5+ years ML engineering/MLOps experience; strong AWS (or GCP/Azure) skills; Python and ML frameworks; CI/CD, IaC, Kafka, monitoring, SQL and data pipeline tooling experience; strong communication.