8,355 ml engineering jobs at 2,606 companies in United States
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Director, ML Engineering
San Jose or Seattle or San Francisco
$206k-$385k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE5+ MgmtSenior ML engineering leader; 10+ years in applied ML; 5+ years leading engineering teams; experience shipping generative AI at enterprise scale.
CUDA, NCCL, GPU stack, inference pipelines, data pipelines
CorsairNASDAQ: CRSR: Sells high-performance gaming peripherals and PC hardware components.
6+ YOE1+ Mgmt6+ years in AI/ML engineering with 1+ years technical lead experience; strong Python and SQL; experience with LLM frameworks, workflow orchestration, data engineering, and MLOps; ability to architect agentic AI systems and lead engineers.
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
15+ YOE5+ Mgmt15+ years software engineering with 5+ years senior engineering leadership, cloud expertise (AWS/Azure/GCP), production AI/ML and MLOps experience, strong stakeholder and communication skills, responsible AI knowledge.
CACI InternationalNYSE: CACI: Provides information technology and engineering services for government agencies.
8+ YOE3+ MgmtActive TS/SCI clearance, Bachelor's in CS/data science/math/engineering, 8+ years AI/ML experience, 3+ years leadership, Python and ML libraries proficiency, experience with LLMs, deep learning, Git, and modern software practices.
Gusto: Cloud-based payroll and HR software for small businesses.
10+ YOE10+ years leading teams in applied ML/AI/engineering/data science; strong software engineering and architecture; executive leadership; fintech/risk experience a plus.
McKessonNew York Stock Exchange: MCK: Distributes pharmaceuticals and provides healthcare information technology solutions.
13+ YOE6+ Mgmt13+ years professional experience with 6+ years of diversified leadership; deep AI/ML technical credibility, responsible AI and model risk management experience, enterprise cloud AI/ML platform experience, finance/P&L ownership, and executive stakeholder management.
Microsoft Azure, Langchain, LangGraph, Python, LLMs
Cursor: AI-powered code editor for professional software developers.
Experience leading engineering teams building ML training/eval/serving infrastructure, strong distributed systems and reliability skills, technical coding ability, hiring and mentoring experience, ability to collaborate with researchers.
Paradigm: Software transforming the residential construction and building product industries.
12+ YOE5+ Mgmt12+ years in applied AI, ML, or software engineering; 5+ years in leadership; degree in CS/ML or related; proven production AI deployment; expertise in LLMs, CV, RAG; strong software & cloud skills.
RedditNYSE: RDDT: Social platform for community-driven discussion and content sharing.
Managerial experience building ML or systems teams; deep ML engineering and optimization expertise; distributed systems fluency; hands-on experience with training/serving, profiling, GPU/memory optimizations; strong communication and prioritization skills; ads or recommender ML preferred.
Machinify: AI-powered platform that automates healthcare claims and payments.
8+ YOE5+ Mgmt5+ years managing teams of 8+ engineers; 8+ years backend; 3+ years building AI/ML production services; BS/MS in CS; strong Java/Scala/Rust/Python; productize ML/AI platforms.
McAfee: Provides digital security and privacy software for consumers.
10+ YOE10+ years software engineering (3+ years in AI/ML), hands-on Python/Golang, experience with cloud-native architectures, ML lifecycle, NLP/LLMs, stakeholder management, and leading engineering teams.
8+ YOE2+ MgmtBachelor's or equivalent, 8+ years software development, 5+ years leading ML design and infrastructure, 3+ years technical leadership, 2+ years people management, experience with ML performance, benchmarking, and computer architecture.
Merck & Co.NYSE: MRK: Produces prescription medicines, vaccines, and animal health products.
4+ YOEAdvanced degree in STEM with substantial post-graduate experience; strong engineering experience building/deploying scalable AI/ML pipelines; expertise in Python, PyTorch, MLOps and cloud tooling; excellent communication and collaboration skills.
Python, Torch, AWS, MLFlow, Docker, GitHub, GitHub Actions, Claude Code, Databricks, Google Cloud Platform (GCP)
Caylent: Provides cloud consulting and engineering services for AWS.
10+ YOE5+ Mgmt10+ years in machine learning/AI with leadership of client-facing engagements; strong AWS ML expertise; proven people management; architectural and MLOps experience.