1,303 ml platform engineer jobs at 701 companies in United States
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Avride: Develops and operates autonomous vehicles and delivery robots.
Build and scale ML compute platform on Kubernetes with Argo and Ray; design core capabilities; ensure reliability and scalability; collaborate with ML teams.
Kubernetes, Argo Workflows, Ray, MLflow, Python, Go, C++, Linux
HPNYSE: HPQ: Manufactures personal computers, printers, and 3D printing hardware.
7+ YOE7+ years experience building AI/ML platform services; strong Python, Terraform, cloud (AWS/Azure), ML deployment, and collaboration skills; degree in CS/data science preferred.
HPNYSE: HPQ: Produces personal computers, printers, and related digital imaging products.
7+ YOE7+ years experience in software and ML platform engineering; proficiency with Python, cloud platforms (AWS/Azure), Terraform, Kubernetes; strong communication and architecture skills.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Experienced systems engineer to build and operate distributed ML platform infrastructure, GPU cluster scheduling, experiment tracking, and production developer tooling. Bachelor's required or equivalent; Master's/PhD preferred.
HPNYSE: HPQ: Manufacturer of personal computers, printers, and imaging devices.
7+ YOE7+ years experience in software/ML platform engineering, degree or equivalent, strong Python and cloud skills, model deployment and infra experience, AWS/Azure familiarity.
Inspiren: Provides AI-powered monitoring and analytics for senior living facilities.
8+ YOE3+ Mgmt8+ years in software or ML engineering with significant data/ML infrastructure experience, 3+ years managing platform teams, proven MLOps and data platform expertise, production experience, strong leadership and cross-functional communication.
ML Ops, MLOps, LLM, VLM, model registry, feature stores, experiment tracking
GuidewireNYSE: GWRE: Provides a software platform for property and casualty insurers.
10+ YOE10+ years software engineering; 5+ years ML platforms/infrastructure; distributed systems; Python/Go/Java; Docker/Kubernetes; MLOps tools; cloud experience; knowledge of ML models.
Whisker Labs: Protects homes from electrical fires using smart plug-in sensors.
8+ YOEDegree in math/science/engineering, 8+ years combined education/experience, expert Python, Linux-based workflow (git, SSH, Make, shell scripting), experience with large-scale data processing and ML pipelines, ability to work remotely.
Inspiren: AI-powered care platform for senior living communities
8+ YOE3+ Mgmt8+ years in software or ML engineering with data/ML infrastructure experience, 3+ years managing platform teams, MLOps and large-scale data platform experience, strong communication and cross-functional leadership.
VertivNYSE: VRT: Provides critical power and cooling for data centers.
5+ YOEBachelor's (or equivalent) and 5+ years software/AI engineering experience; 3+ years building production GenAI/LLM applications; experience with prompt engineering, RAG pipelines, LLMOps, enterprise AI platform administration, and stakeholder collaboration.
Anthelion Capital: AI-powered investment firm specializing in private credit and data science.
3+ YOE3+ years in data engineering or ML infrastructure; Python and SQL; orchestration tools (Prefect/Airflow/Dagster); Docker/Kubernetes; cloud (Azure preferred); model serving; monitoring; strong documentation.
Johns Hopkins University Applied Physics Laboratory: Conducts research and engineering for national security and space.
2+ YOEBachelor's in Math/CS/EE; 2+ years in software/ML; experience building production AI/ML systems; Python with ML stack; LangChain/LangGraph; containerization with Podman/Docker; strong communication; ability to obtain Interim Secret clearance; U.S. citizenship.
42dot: Develops autonomous driving software and software-defined vehicle technology.
7+ YOE7+ years in Data Engineering or ML Platform; expert Python; databases; distributed AI frameworks; data pipelines with Airflow/Databricks; Spark; leadership.
Sunnyvale or Mountain View or Austin or United States
$129k-$261k/yrHybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
3+ YOEBS/MS/PhD in CS or related field; 3+ years experience; Python proficiency; production platform/infrastructure experience; ML deployment/inference experience; cross-team collaboration; open-source contributions.
Woven by Toyota: Developing software-defined mobility platforms and autonomous driving systems
5+ YOEBSc in CS/ML or equivalent experience,5+ years software engineering,2+ years Linux/Python/PyTorch or TensorFlow,experience across MLOps (data curation, distributed training, deployment),Docker and CI experience,strong engineering skills.
TextUs: Cloud-based text messaging platform for business communication and engagement.
6+ YOE6+ years engineering experience with 3+ years in ML platform/ML Ops or applied ML; strong LLM and Python skills; Ruby on Rails familiarity; cloud-native (AWS), containers, IaC expertise; on-call experience and strong communication.
Claude Code, Python, Ruby on Rails, AWS, Containers, Infrastructure as Code (IaC), LLM
Grow Therapy: Platform connecting mental health providers with patients and insurance.
Proven experience designing and building real-time ML systems and infrastructure (feature stores, real-time serving, deployment safety, monitoring). Strong backend engineering, Terraform experience, technical leadership, and cross-team partnership.
Strava: Fitness tracking and social networking app for athletes.
Experience building AI/ML platforms, GenAI, and MLOps; production cloud experience; strong data tooling; familiarity with LangChain, FastAPI, MLflow, Kubeflow, and data technologies; collaborative and ownership mindset.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience designing and operating large-scale distributed systems, expertise in Kubernetes scheduling and resource management, and building platforms for batch and ML workloads.