2,893 cloud ml engineer jobs at 1,111 companies in United States
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3mo
ML & Cloud Infrastructure Engineer
Belmont, California, United States
OnsiteFull Time
Gritt Robotics: Private AI-powered construction robotics automating labor-intensive infrastructure work for construction crews.
4+ YOE4+ years deploying high-performance ML pipelines; proficient in Python; comfortable with C++/Go; PyTorch; cloud platforms (AWS, GCP, Azure); Docker/Kubernetes/Airflow; Parquet/HDF5/TFRecord; US work authorization.
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
Calico: Alphabet-founded biotechnology studying human aging and developing potential medicines for age-related diseases.
4+ YOEBS/MS with 7+ years or PhD with 4+ years in software engineering/DevSecOps/cloud architecture, strong Python, GCP, Kubernetes, Terraform, Docker experience, and onsite availability 4+ days/week.
Bright Vision Technologies: AI-powered enterprise automation and software development firm.
6+ YOEBachelor’s or master’s degree in computer science, cybersecurity, or related field; 6+ years of security engineering experience including AI/ML systems; Python and systems language proficiency; cloud security expertise.
HonorHealth: Nonprofit healthcare system providing comprehensive medical services in Arizona.
7+ YOEBachelor's degree or 4 years' experience required, plus 7 years of progressive AI/ML, MLOps, data engineering, or software engineering experience; cloud AI/ML, SQL, APIs, CI/CD, and systems integration expertise.
Google Cloud Platform (GCP), MLOps, DevOps, CI/CD, Git, Infrastructure as Code, SQL, API
ParsonsNYSE: PSN: Technology and engineering solutions for defense and infrastructure.
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
Databricks: Data and AI software providing a unified platform.
4+ YOEMaster's in ML/data science or related field, strong production ML experience, cloud/distributed systems familiarity, proficiency in Python/Scala/Java; PhD preferred; 4+ years ML engineering experience preferred.
Python, Scala, Java, Apache Spark, Delta Lake, MLflow
FICONYSE: FICO: Public analytics software serving businesses with credit scoring, fraud prevention, and decision-management tools.
M.S. or Ph.D. in a technical field, industry experience in analytic software or ML, strong programming in 2+ languages (C/C++, Java, Python), experience with cloud/distributed systems, SQL/no-SQL, Linux, and ML fundamentals.
NineTwoThree AI Studio: NineTwoThree is a private AI product studio delivering custom software and automation for enterprise companies and funded startups.
3+ YOE3+ years building ML/NLP systems, production experience with LLMs, strong Python and SQL skills, cloud deployment experience (preferably AWS), fluent English, Bachelor's/Master's or equivalent experience.
SOS International: Technology and services integrator for government and defense missions.
Requires active Top Secret clearance and professional AI/ML experience with Python or R, deep learning frameworks, GitHub, cloud services, model deployment, experimentation, validation, and benchmarking.
General Legal: AI-native law firm serving growing companies with flat-fee commercial, corporate, and employment legal services.
5+ YOERequires 5+ years in software, machine learning, or infrastructure engineering; Python proficiency; production ML infrastructure, cloud, distributed systems, containers, independent system design, and a Computer Science degree or equivalent.
SumerSports: AI-powered football intelligence serving professional and collegiate teams with scouting, roster, and performance analytics.
4+ YOERequires 4+ years in ML platform, DevOps, or infrastructure engineering; Kubernetes, CI/CD, containers, cloud, GPU clusters, Python, infrastructure as code, automation, observability, and production ML systems experience.
Clera: AI-powered talent agent matching candidates to startup roles.
5+ YOE5+ years building production ML inference or model-serving systems. Requires scalable distributed systems, Docker, Kubernetes, cloud experience, observability tooling, and proficiency in Python, Go, Rust, C++, or Java.
540: Private technology consulting firm building secure software, cloud, data, and AI systems for federal government missions.
4+ YOE4+ years AI/ML or software engineering experience building production ML systems; strong Python, MLOps, CI/CD, containerization, cloud, model monitoring, and security experience; U.S. citizenship and active DoW Secret clearance required.
Parallax Advanced Research: Nonprofit advanced research institute delivering technology, human, and business solutions to government, industry, and academic clients.
8+ YOEUS citizen with active TS/SCI clearance, Bachelor's in CS or related, 8+ years software engineering (5+ in DevSecOps/AI/ML). Proficient in Python/Java, AI/ML frameworks, MLOps, containerization, Kubernetes, CI/CD, and data engineering.
Confido: N AI-enabled financial operations platform for CPG brands and their finance, sales, and operations teams.
5+ YOE5+ years building production ML/ML platform systems, strong Python and cloud infrastructure skills, experience with IaC and CI/CD, productionizing models and agentic workloads, and ownership of reliability/observability.
Technical portfolio deploying AI/ML solutions; strong computer vision, deep learning, neural architecture, multimodal, spatial intelligence, production programming, and model optimization experience. MSc or PhD preferred.
AccentureNYSE: ACN: Global professional services delivering 360° value.
7.5+ YOE7.5+ years experience building and operating ML/AI platform infrastructure; must-have skills: Machine Learning Operations, DevOps, LLMs; experience with CI/CD, GenAI, cloud AI services; team leadership and platform observability experience.
Machine Learning Operations, DevOps, Large Language Models (LLMs), CI/CD, GenAI, Cloud AI services
General MotorsNYSE: GM: Designing, building, and selling the world's best vehicles.
5+ YOE5+ years building large-scale distributed or ML systems; strong APIs and cloud infrastructure experience; expertise in ML lifecycle and MLOps; coding in Python or C++; BS/MS/PhD in CS/Math or equivalent experience.