1,983 machine learning engineering jobs at 753 companies in United States
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Indeed: Online employment platform for job seekers and employers.
8+ YOE3+ Mgmt8+ years of machine learning/engineering leadership; Bachelor's in Computer Science/Mathematics/Statistics or related field; strong coding (Python/Java/Go/C++), SQL, Spark; experience coaching ML engineers; full-stack data workflows.
AffirmNasdaq: AFRM: Financial platform providing installment loans for consumer purchases.
8+ YOE3+ MgmtBachelor's in technical field; 8+ years in ML, 3+ years leading engineers; expertise with modern ML (representation learning, deep learning, transformers); proven end-to-end ML delivery; strong engineering fundamentals; cross-functional collaboration; able to work in fast-evolving environments; degree or equivalent practical experience.
Stripe: Provides online payment processing and financial infrastructure for businesses.
3+ Mgmt3+ years engineering management experience and prior experience as a machine learning engineer; ability to work cross-functionally and set long-term technical vision.
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
8+ YOE2+ Mgmt8+ years in ML/software engineering (computer vision/video focus), 2+ years leading engineers, hands-on with PyTorch/TensorFlow, production ML systems, large-scale datasets, distributed systems, generative AI experience, strong system design and communication.
Toronto or Vancouver or Calgary or Canada or United States
$181k-$272k/yrHybridFull Time
Clio: Cloud-based legal practice management software and AI solutions.
Managerial experience leading ML teams, deep knowledge of LLMs/GenAI and agentic systems, hands-on ML engineering, model fine-tuning, data preprocessing, mentorship, and strong communication.
General Atomics Aeronautical Systems: Designs and manufactures unmanned aircraft and radar systems.
3+ YOERequires 3+ years machine learning engineering experience (or 5+ with a bachelor's), strong ML/statistics knowledge, programming and communication skills, and ability to lead small teams.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
7+ YOE5+ MgmtAdvanced degree or equivalent; 5+ years engineering leadership managing data infrastructure/ML data ops and 7+ years building large-scale ETL/ELT pipelines; expertise in ML data lifecycles, data quality/governance/versioning/annotation, cloud data tech, and generative-model data.
ExponentNasdaq: EXPO: Scientific and engineering consulting firm for complex technical challenges.
Ph.D. in mechanical/aerospace/systems engineering, specialized knowledge in dynamic systems/robotics/physics engines and machine learning, proficiency in Python, strong communication and consulting skills, must be authorized to work in the U.S.
Palo Alto or New York City or Dallas or Bethesda or Seattle
$150k-$300k/yrOnsiteFull Time
GEICO: Provides vehicle and property insurance services to consumers.
10+ YOE10+ years engineering or AI/ML leadership experience; proven track record building scalable distributed systems and personalization platforms; expertise in RAG, context/memory architectures, and real-time inference; strong business acumen and cross-functional leadership.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
5+ YOE5+ years building large-scale ML systems, 2+ years with vision-language or foundation models, strong systems and infrastructure experience, cross-functional collaboration, and people leadership.
Panasonic Avionics CorporationTokyo Stock Exchange: 6752: Provides in-flight entertainment and connectivity systems for airlines.
2+ YOEBachelor's in CS/Data Science/Software Engineering required, 2+ years software engineering experience, proficiency in Python or Java, experience with TensorFlow or PyTorch, machine learning and data-pipeline experience.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
Proven leadership building and growing engineering teams in robotics/autonomy, strong technical fluency across software, ML, controls and systems integration, excellent communication and stakeholder management.
The Marlin Alliance: Provides digital transformation and automation services to defense agencies.
10+ YOE10+ years experience designing, developing, and deploying machine learning models for operational systems; strong Python and software engineering skills; cloud and containerization experience; ability to work in naval/DoD environments.
Persona AI: Developing rugged humanoid robots for industrial labor automation.
3+ YOE3+ years machine learning experience applied to robotics, proficiency with PyTorch/JAX/TensorFlow, cloud (AWS/Azure/GCP), strong software skills, and knowledge of robot learning and deployment.
Senior Manager, Machine Learning Engineering - Ad Platform
United States
HybridFull Time
Fetch: Mobile platform rewarding consumers for scanning retail and dining receipts.
8+ YOE2+ Mgmt8+ years in software or ML engineering with 2+ years managing teams; strong ML lifecycle knowledge; ability to translate product strategy to technical roadmaps; proficiency with Python and SQL.
Senior Manager, Machine Learning Engineering - Communication & Connectivity
United States
$248k-$310k/yrRemoteFull Time
AirbnbNASDAQ: ABNB: Online marketplace for vacation rentals and travel experiences.
12+ YOE5+ Mgmt12+ years engineering experience with 5+ years managing teams; degree in computer science or related; experience with AI/ML production systems, cross-functional leadership, and strong communication.
Wayve: Develops AI software for autonomous vehicle navigation.
Strong robotics and autonomy background; proven leadership; able to operate with ambiguity; broad software/ML/controls; excellent communication; stakeholder management with OEMs.