164 senior machine learning engineer jobs at 99 companies in Cotati, CA
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Senior Machine Learning Engineer
San Francisco or New York or United States
$160k-$235k/yr HybridFull Time
5+ YOE5+ years software engineering/ML experience, production ML deployment, ranking/recommendation systems, Python and ML frameworks (PyTorch, Scikit-learn), vector/graph DB exposure, observability and A/B testing experience.
Python, PyTorch, Scikit-learn, OCR, CI/CD
3mo
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Sr. Machine Learning Engineer
Santa Barbara or Dallas or San Diego or San Francisco or Denver or Atlanta or Chicago or Washington, DC
$167k-$209k/yr HybridFull Time
Senior ML engineer with production ML/AI experience, distributed systems, and strong software engineering skills.
Python, Go, Ruby, JavaScript, AWS
1w
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Senior Machine Learning Engineer
San Francisco or Los Angeles or New York City
$70-$75/hr HybridContract
8+ YOE8+ years ML engineering experience in healthcare with HIPAA-compliant systems, end-to-end ML lifecycle ownership, MLOps, cloud and container experience.
Python, SQL, Databricks, Apache Spark, MLflow, Feature Store, Model Registry, Azure, AWS, GCP, Docker, Kubernetes, REST APIs, Git, CI/CD
2mo
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Senior Machine Learning Engineer
Glendale or San Francisco or New York
$142k-$199k/yr HybridFull Time
5+ YOEExperience building and operating large-scale data/ML systems, strong distributed systems fundamentals, streaming/batch technologies (Kafka, Kinesis, Spark, Flink), Python, plus working knowledge of Java/Scala/Go/C++, cloud-native (AWS, containers, Kubernetes, IaC), observability, and collaboration skills; Bachelor's or Master's required.
Kafka, Kinesis, Spark, Flink, Python, Java, Scala, Go, C++, AWS, Kubernetes, containers, IaC tools
2mo
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Staff Machine Learning Engineer
San Francisco or Minneapolis
HybridFull Time
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
Go, Java, Python, MLflow, Kubeflow, Airflow, REST, gRPC, Model servers, SQL, NoSQL
2mo
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Senior Machine Learning Engineer
Berkeley or New York City
$290k-$395k/yr RemoteFull Time
5+ YOE5+ years software engineering; strong CS fundamentals; Python expertise; ML systems experience; collaboration with researchers.
Python, R, C/C++, NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow
2mo
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Senior Staff Software Engineer, Machine Learning
San Francisco or Sunnyvale or Seattle
$243k-$357k/yr OnsiteFull Time
10+ YOE10+ years in ML with production experience; deep learning; fine-tuning LLMs; strong collaboration across teams; proficiency with AI tooling.
Python, Claude Code, TensorFlow, PyTorch, LLM fine-tuning, JSON/tool-calling
2w
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Senior Machine Learning Engineer
San Francisco or Bellevue or Atlanta or Burbank
$159k-$296k/yr HybridFull Time
5+ YOE5+ years ML engineering experience, deep Python, Databricks and Snowflake proficiency, production ML deployment, ML evaluation and experimentation, strong software engineering and communication skills.
Databricks, PySpark, Delta, Workflows, DLT, Unity Catalog, Databricks Genie, Databricks Feature Store, Snowflake, Snowflake Cortex, AWS, SageMaker, S3, Lambda, MLflow, Mosaic, FreeWheel, Google Ad Manager, Cursor, GitHub Copilot, Amazon Q, MCP, LangChain, LangGraph, AutoGen, Python, SQL, Scala, XGBoost, LightGBM, Tecton, Feast
1mo
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Senior Machine Learning Engineer
San Francisco or New York City
HybridFull Time
8+ YOE8+ years in software or ML engineering with production ML deployment experience, strong Python and software engineering skills, systems design experience, experimentation-driven decision making, and mentorship ability.
Python
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Senior Machine Learning Engineer
San Francisco, California, United States
$208k-$264k/yr OnsiteFull Time
4+ YOEMinimum 4 years MLE experience; expertise in Transformers, multimodal systems, sensor fusion (camera, LiDAR, radar); proficiency with PyTorch or JAX, Python and C++; experience optimizing and deploying models to edge hardware and building data curation pipelines.
PyTorch, JAX, Python, C++, TensorRT, CUDA
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Senior Machine Learning Engineer
Chicago or New York City or San Francisco or Seattle or Sunnyvale
$182k-$202k/yr OnsiteFull Time
4+ YOE4+ years building ML models; BS in CS/CE or related; experience with PyTorch, causal inference or constrained optimization preferred; product and marketplace experience a plus.
PyTorch
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Senior Machine Learning Infrastructure Engineer, Simulation
Mountain View or San Francisco
$213k-$263k/yr OnsiteFull Time
5+ YOE5+ years of professional software engineering, with 3+ years in ML infrastructure; BS in CS/Robotics or related field.
DeepSpeed, PyTorch, TensorFlow, ML infrastructure
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Senior Machine Learning Operations Engineer
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yr HybridFull Time
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
Python, FastAPI, Flask, SHAP, SQL, Redis, DynamoDB, Kafka, Kinesis, Redpanda, Snowflake, dbt, Dagster, Airflow, Haskell, React, TypeScript
1mo
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Machine Learning Engineer, Senior Manager
Southfield or San Francisco or Seattle or Boston or New York City or Los Angeles or San Diego or United States
$184k-$270k/yr RemoteFull Time
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Kubeflow, DVC, Ray, gRPC, GraphQL, Databricks MLflow, Databricks Model Serving, MLflow, Apache Airflow, Spark, Flink, Kafka, Kinesis, Snowflake, Databricks, XGBoost, Transformers
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Machine Learning Engineer
San Francisco, California, United States
$133k-$236k/yr OnsiteFull Time
5+ YOEBachelor's in quantitative field or equivalent,5+ years building and operating production ML systems,experience with LLMs/GenAI,fluency in Python and SQL,rigorous evaluation and experimentation skills.
Python, SQL, Databricks, MLflow, Feature Store
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Senior Machine Learning Engineer
San Francisco or Toronto
$196k-$265k/yr HybridFull Time
5+ YOE5+ years building and deploying production ML systems; strong software engineering with Python, distributed systems, API design; ownership of full ML lifecycle; experience with NLP/LLMs preferred.
Python, Pinecone, Weaviate, FAISS, Milvus, Elasticsearch, OpenSearch, LangChain, LlamaIndex, LoRA, embeddings
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Senior Machine Learning Engineer
Helsinki or San Francisco or Seoul or Shanghai or London
OnsiteFull Time
Deep ML expertise with a track record of taking ML systems into production at large scale, strong software/data engineering skills, experience with low-latency serving, collaboration and communication skills, and passion for games.
Python, Databricks, SQL, Spark, Redis, Tecton, AWS, GCP, PyTorch, Ray, TensorFlow, ONNX, Databricks Spark, Ray train, Ray serve, FastAPI, Triton inference, Docker, Kubernetes, Terraform, Kubeflow, GitHub Actions, Grafana, Prometheus, Weights and Biases, MLflow, Claude Code, Codex
1mo
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Senior AI / Machine Learning Engineer
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yr HybridFull Time
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.
PyTorch, GitHub
2w
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Lead Machine Learning Engineer
Toronto or Montreal or San Francisco
HybridFull Time
8+ YOE8+ years ML/AI engineering with technical lead experience, productionizing LLM/agent systems, monitoring and reliability, strong ML fundamentals, and people leadership.
LLMs, transformers, RAG, APIs
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Machine Learning Engineer, Marketplace
San Francisco or New York City or London
$130k-$500k/yr OnsiteFull Time
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
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