3,308 ml engineer jobs at 681 companies in Berkeley, CA
ML Engineer
Palo Alto, California, United States
$200k-$250k/yr HybridFull Time
3+ YOE3-7+ years ML engineering or applied ML experience; production LLM/agentic systems; strong CS fundamentals; Python; probability and statistics; eval design; high agency.
Python
ML Engineer
Emeryville, California, United States
$160k-$260k/yr OnsiteFull Time
Production software engineering experience in Python and ML or data systems, cloud deployment experience, testing and observability expertise, and experience with large video and structured scientific datasets.
Python, PyTorch, JAX, TensorFlow, Google Cloud
Senior Applied ML Engineer - ML4Sys
San Francisco, California, United States
$16k-$21k/mo OnsiteFull Time
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
ML Engineer
San Francisco, California, United States
OnsiteFull Time
Experience scaling applications and building or using AI products and tools; able to balance speed and quality, understand customers, and build well-designed products.
Staff ML Engineer - Ads ML Infrastructure
Cupertino, California, United States
OnsiteFull Time
Design, develop, and build scalable ML platform capabilities; collaborate with engineers and data scientists in an Agile environment.
Senior ML Infra Engineer
New York City or San Francisco
$200k-$275k/yr HybridFull Time
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.
Python
ML Infrastructure Engineer
Palo Alto, California, United States
$180k-$440k/yr OnsiteFull Time
2+ YOE2+ years building large-scale production systems or ML infrastructure; degree in CS or related field or equivalent experience; strong Python and compiled-language skills; experience with GPU and distributed systems.
Python, C++, Rust, JAX, PyTorch, NVIDIA drivers, CUDA, Linux, Slurm, Puppet, Ansible
AI/ML Engineer
San Francisco or United States
$152k-$220k/yr RemoteFull Time
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.
machine learning, VLMs, LLMs, generative AI, RAG, Computer Vision (CV), deep learning, Neural Architectures, cloud environment
Senior ML Performance Engineer
Mountain View or United States or San Francisco or Seattle
$149k-$235k/yr RemoteFull Time
7+ YOE7+ years software engineering experience; strong TypeScript/JavaScript and React; experience with MCP servers, distributed systems, AI/ML evaluation, semantic search, GraphQL/REST, and one backend language like Python or Go.
TypeScript, JavaScript, React, MCP, GraphQL, REST, JSON Schema, Python, Go, OAuth 2.1
ML Ops Engineer
San Francisco, California, United States +1 more
$147k-$268k/yr HybridFull Time
4+ YOEBachelor's in Computer Science, Engineering, Statistics, Mathematics or related field; 4+ years ML engineering, ML Ops, or platform engineering experience; strong Python; experience with ML frameworks, MLOps tools, containerization, orchestration, cloud platforms, and CI/CD.
Python, PyTorch, JAX, TensorFlow, MLflow, Weights & Biases, KServe, Docker, Kubernetes, Slurm, Ray, Triton, vLLM, TensorRT-LLM, Terraform, Ansible, GitHub Actions, AWS, Azure, GCP
Sr. ML Engineer, Clinical Automation
Palo Alto, California, United States
$170k-$230k/yr HybridFull Time
5+ YOE5+ years building production ML systems, experience in information extraction/NLP/LLMs, eval and data-pipeline ownership, startup 0→1 experience, pragmatic modeling and clinical domain curiosity.
LLMs
Staff ML Engineer
Pune or Bangalore or Santa Clara
HybridFull Time
10+ YOERequires 10+ years software engineering, 8+ years distributed backend systems, 3+ years LLM/RAG or ML infrastructure, production Kubernetes experience, technical leadership, and a bachelor's degree in a technical field.
Python, Java, Go, JavaScript, LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), Kubernetes, OpenShift, EKS, GKE, Docker, Helm, Terraform, AWS, gRPC, REST APIs, SQL, NoSQL, PostgreSQL, Redis, Elasticsearch, CI/CD, DevOps, Git, Node.js, Jenkins
Founding ML Engineer
San Francisco, California, United States
OnsiteFull Time
Independent decision-making, leadership through ambiguity, ability to work at a fast pace, and willingness to learn continuously in a rapidly evolving startup environment.
AI, LLM
ML Engineer, LLM's
San Francisco, California, United States
HybridFull Time
4+ YOE4+ years ML research/engineering with LLM expertise; hands-on fine-tuning/post-training; strong Python and PyTorch; understanding of transformer architectures; experimental methodology; large-scale datasets; LLM evaluation; U.S. work authorization without sponsorship.
Python, PyTorch, AWS, vLLM, TensorRT-LLM
AI/ML Engineer
Alameda, California, United States
$100k-$200k/yr OnsiteFull Time
6+ YOEBachelor's or Master's in Computer Science or related field; 6+ years software/ML engineering including 3+ years deploying ML models on mobile/embedded devices; proficiency in Python and Swift, Kotlin, or C++; experience with Core ML, TensorFlow Lite, ONNX Runtime, quantization, and pruning.
Core ML, TensorFlow Lite, ONNX Runtime, Python, Swift, Kotlin, C++
AI/ML Engineer
United States or Redwood City
$200k-$260k/yr RemoteFull Time
3+ YOE3+ years building and deploying ML models in production; strong experience with LLMs, prompt engineering, fine-tuning, and agent frameworks; proficient in Python, PyTorch/TensorFlow, and cloud ML infrastructure (AWS/GCP).
Python, PyTorch, TensorFlow, AWS, GCP
ML Platform Engineer
San Mateo, California, United States
$124k-$210k/yr HybridFull Time
3+ YOEBachelor's or Master's in Computer Science or related field; 3+ years software engineering experience with ML platforms; Python, Go, or Java; Docker, Kubernetes; MLOps tools; cloud platforms; basic ML knowledge.
Python, Go, Java, Docker, Kubernetes, MLflow, Kubeflow, SageMaker, Vertex AI, Databricks, AWS, Azure, GCP, Airflow, Argo, Kafka, Spark, Terraform, TeamCity
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