8,257 ml engineer jobs at 2,603 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.
Docker: Provides a platform for building, sharing, and running containerized applications.
8+ YOE8+ years professional software engineering experience, 5+ years applied ML experience, bachelor's in CS/Engineering or equivalent, experience shipping ML systems, LLM/agent experience, on-call participation possible.
Nox Metals: Distributes aluminum products using an automated AI platform.
5+ YOE5+ years of ML engineering experience shipping production models; strong Python, ML frameworks, MLOps, data labeling and production deployment; ability to ship end-to-end features and collaborate with software teams.
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
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
7+ YOE7+ years engineering experience, 5+ years Python and ML frameworks, experience with clustering, unsupervised learning, knowledge graphs, MLOps, and productionizing agentic systems.
SpendHQ: Provides enterprise procurement intelligence and performance management software.
5+ YOE5+ years in ML engineering or data/AI roles; strong Python; AWS; Snowflake/Snowpark; NLP/classification models; ML Ops; multi-tenant SaaS experience.
Deepgram: Provide real-time APIs for automated speech-to-text and voice AI.
Production ML engineering experience taking models from research to production; strong Python skills; experience with PyTorch, distributed/GPU compute, ML pipelines, evaluation and inference optimization.
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
Expert-level PyTorch; production ML software engineer; large language model training; evaluation metrics; ML lifecycle expertise; track record shipping production ML.
PyTorch, Python, Machine Learning tooling, Production code
Clera: AI talent agent matching professionals with high-growth startup roles
Proficiency in Python, C++, or Java; strong ML and data analysis skills; understanding of simulation and engineering principles; bachelor's degree in CS/engineering; collaborative and problem-solving skills.
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.
New York City or San Francisco or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
10+ YOEBachelor's in CS/Engineering/Mathematics, 10+ years building and deploying production AI/ML systems, expertise in ML/DL, full ML lifecycle experience, foundation-model adaptation experience.
4+ YOE4+ years in MLOps/ML Engineering/DevOps, strong Python, Apache Airflow, MLflow, AWS (Batch, EC2, S3, IAM, CloudWatch), Docker, Git, SQL/Snowflake, monitoring/alerting, CI/CD, IaC, and experience with production ML lifecycle and healthcare security (HIPAA/SOC 2) preferred.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
2+ YOE2+ years in AI/ML or related engineering, Bachelor's degree, experience with big data (Spark/Hadoop/Databricks), programming in Python/C#/Java, ability to obtain Secret clearance.
Coral AI: Agentic automation platform for healthcare administrative workflows.
3+ YOE3–9 years ML engineering/research; OCR/NLP/document processing/speech exp; Python with TensorFlow/PyTorch; DL architectures; cloud & deployment; data analysis; strong communication; on-site in Bengaluru or NYC.
Python, TensorFlow, PyTorch, AWS, GCP, Azure, Docker, Kubernetes, Tesseract, Google Vision API
Sunnyvale or Austin or Detroit or Warren or Milford or Mountain View or United States
$296k-$424k/yrHybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
MS or PhD in CS/Robotics/ML or related; experience leading technical teams delivering production ML systems; deep expertise in robotics planning/control, imitation or reinforcement learning, generative models, and large-scale ML; strong software engineering skills in Python and C++.
Sandstone: AI-native platform for in-house legal departments.
4+ YOE4+ years applied AI/ML or related engineering experience; experience shipping LLM-powered products (retrieval, agents, document understanding); strong software fundamentals, data pipeline and API experience; strong communication and product judgment.
ParsonsNYSE: PSN: Provides engineering and technology services for infrastructure and defense.
5+ YOEBachelor's degree required, 5+ years related experience, proficiency in Python and AI/ML frameworks, experience deploying production ML, knowledge of MLOps, cloud AI platforms, strong communication and problem-solving skills; US citizenship required.
Python, TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, AWS SageMaker, Azure AI, Google Vertex AI, Databricks, Microsoft Office
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
3+ YOE3+ years ML/ML-engineering experience building and operating production AI/ML systems for cybersecurity; strong Python and ML framework experience; knowledge of MLSecOps, secure-AI practices; ability to obtain Secret clearance; bachelor’s degree.
MakerMaker: Small San Francis-based team building autonomous ML systems
6+ YOESenior ML engineer with 6+ years building production-grade ML systems; strong Python; distributed systems experience; familiar with Ray, Kubernetes, and experimentation infrastructure.