22 machine learning platform engineer jobs at 17 companies in Cotati, CA
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Machine Learning Platform Engineer
San Francisco or New York City or Los Angeles or Seattle
$245k-$345k/yr HybridFull Time
4+ YOE4+ years building ML systems, 3+ years engineering production systems, 1+ year Python, experience with distributed training/inference, databases, monitoring, and cloud services.
Python, PostgreSQL, DynamoDB, Elasticsearch, Redis, DataDog, Grafana, AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS, ECS, Apache Kafka, Flink
3mo
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Staff Machine Learning Platform Engineer
Kitchener-Waterloo or Toronto or San Francisco
$216k-$297k/yr HybridFull Time
8+ YOE8+ years in production ML or data platforms; graduate degree in CS/Engineering/Statistics or related field; strong Databricks/Spark/Delta Lake/MLflow; Python/SQL; cloud and IaC; MLOps.
Databricks, Spark, Delta Lake, MLflow, Terraform, GitHub Actions, Kubernetes, AWS, S3, Python, SQL, Kotlin, Airflow, Snowflake, Unity Catalog
1w
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Machine Learning Engineer, Platform
San Francisco or New York City
HybridFull Time
Expertise in ML and modern AI (LLMs, VLMs, RL fine-tuning), production ML, evaluation and model routing, and building shared platform capabilities for institutional workflows.
LLMs, RL
3w
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Sr Machine Learning Engineer
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yr HybridFull Time
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
Java, scikit-learn, Spark MLLib, PyTorch, AWS Bedrock, Azure Cognitive Services, Vertex AI, LangGraph, Crew AI, strands sdk, vector databases, SpringBoot, DynamoDB, Redis, ValKey, MemCache, Apache Kafka, Kinesis, AWS, Terraform, Docker, Kubernetes
2mo
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Senior Machine Learning Engineer – GeoAI Platform
Bellevue or San Francisco or Seattle
$185k-$275k/yr HybridFull Time
5+ YOE5+ years building distributed data/ML systems; hands-on experience with Ray, PyTorch, GPU inference, Python scientific stack, object storage, and large-scale data formats.
Ray, PyTorch, PyArrow, NumPy, Xarray, Spark, Dask, CUDA, S3, GeoParquet, Parquet, Zarr
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Staff Software Engineer, Machine Learning Platform
Seattle or South San Francisco
$224k-$336k/yr OnsiteFull Time
10+ YOE10+ years software development experience, technical leadership on large distributed systems and ML platform work, experience with model training/serving/orchestration, strong communication and cross-functional collaboration.
AWS, SageMaker, Bedrock, Databricks, OpenAI
1w
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Machine Learning Engineer
San Francisco, California, United States
HybridFull Time
5+ YOE5+ years ML or software engineering experience, strong Python, experience deploying production ML models, familiarity with MLOps and cloud platforms, BS in a technical field or equivalent.
Python, PyTorch, TensorFlow, Scikit-learn, SQL, PostgreSQL, Docker, Kubernetes, AWS, GitHub Actions, REST APIs, MLflow, Weights & Biases, Airflow, LangFuse, LangSmith, Ragas, Braintrust, vLLM, BentoML, Pinecone, Weaviate, Qdrant, OpenAI, Anthropic
2mo
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Senior Machine Learning Engineer - Personalization
San Francisco or Bellevue
$132k-$246k/yr HybridFull Time
4+ YOE4+ years ML; 3+ years leading multi-stakeholder projects; deep ML lifecycle knowledge; large-scale recommender systems; Python/Java/Go; cloud platforms; SQL; CI/CD; strong communication; MS or equivalent.
Python, Java, Go, SQL, Cloud (AWS/GCP/Azure), CI/CD, GitHub Actions, Jenkins
2w
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Sr Machine Learning Engineer
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yr HybridFull Time
5+ YOE5+ years ML-focused software engineering experience, proficiency with Java and large-scale ML platforms, experience with ML frameworks and LLMs, strong communication and problem-solving skills.
Java, scikit-learn, Spark MLLib, PyTorch, AWS Bedrock, Azure Cognitive Services, Vertex AI, LangGraph, Crew AI, strands sdk, SpringBoot, DynamoDB, Redis, ValKey, MemCache, Apache Kafka, Kinesis, AWS, Terraform, Docker, Kubernetes
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Machine Learning Engineer, Infra, AI for Drug Discovery
South San Francisco or New York City
$148k-$274k/yr OnsiteFull Time
3+ YOEBS/MS or equivalent,3+ years in software/infrastructure/platform/MLOps,strong Python,cloud (AWS) and Kubernetes experience,Terraform/Pulumi,observability tools,distributed-systems knowledge,ability to deliver production software.
Python, EKS, EC2, S3, IAM, SQS, SNS, CloudWatch, Kubernetes, Helm, Terraform, Pulumi, Git, Datadog, Prometheus, Grafana, OpenTelemetry, KServe, Triton, vLLM, Ray Serve, Prefect, Dagster
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Lead Machine Learning Engineer (IC)
New York or San Francisco or McLean or Cambridge or San Jose or Richmond
$215k-$246k/yr OnsiteFull Time
6+ YOEBachelor's degree, 6+ years designing data-intensive distributed systems, 4+ years programming in Python/Scala/Java, 2+ years building and scaling ML systems; experience with ML frameworks and cloud platforms preferred.
Python, Scala, Java, scikit-learn, PyTorch, Dask, Spark, TensorFlow, AWS, Azure, Google Cloud Platform
3d
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Software Engineer, Machine Learning Platform
Emeryville, California, United States
$200k-$330k/yr HybridFull Time
5+ YOEBachelor's, master's, PhD, or equivalent experience; 5+ years in backend or full-stack engineering; experience building high-performance tools, platforms, or infrastructure for technical users.
PyTorch, MLflow, CI/CD
3mo
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Senior / Staff Machine Learning Research Engineer
South San Francisco, California, United States
$209k-$233k/yr HybridFull Time
5+ YOE5+ years ML software engineering experience; strong Python and JAX or PyTorch skills; experience building model training/serving/eval platforms; willing to work onsite at least four days/week.
Python, JAX, PyTorch, Ray, Spark, BigQuery, AlphaFold
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Senior Manager, Machine Learning
San Francisco, California, United States
$245k-$295k/yr HybridFull Time
8+ YOE3+ Mgmt3+ years management,8+ years building and deploying ML in production,proficiency in Python,experience with cloud platforms,containerization and CI/CD; strong ML (deep and classical) and communication skills.
Python, cloud platforms, containerization, CI/CD
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ML Platform Engineer
United States or San Francisco
$136k-$167k/yr RemoteFull Time
5+ YOE5+ years software development experience focused on data/ML/AI infrastructure; building scalable distributed systems; strong coding and design skills; proficiency with Python/Golang, Kafka, Postgres, Redis, FastAPI, Ray; cloud experience (AWS).
Python, Golang, Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph, LangSmith, AWS
2mo
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Staff Software Engineer, Machine Learning Platform
San Francisco or Seattle
OnsiteFull Time
10+ YOE10+ years of software development; technical lead; production ML platform experience; cross-functional collaboration; autonomous; AI tooling experience.
AWS, SageMaker, Databricks, OpenAI, Python, Java, SQL, ML platforms
2mo
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Software Engineer, Machine Learning Platform
San Francisco, California, United States
$187k-$259k/yr OnsiteFull Time
5+ YOE5+ years in ML infrastructure or production ML systems; distributed systems and cloud experience; CI/CD, DevOps, and infrastructure as code; Docker/Kubernetes; Python/Go/Scala/Java; AWS; Spark/Ray; GPU/CUDA; Terraform; observability and cost visibility.
AWS, Docker, Kubernetes, Terraform, Spark, Ray, Kafka, Kinesis, Flink, CloudFormation, Python, Go, Scala, Java
3mo
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Member of Technical Staff - Machine Learning Capabilities, New Graduates
San Francisco or Toronto or Seattle
$165k-$200k/yr OnsiteFull Time
0+ YOENew graduate ML engineers with strong ML fundamentals, Python proficiency, systems programming, and interest in RL environment design; familiarity with PyTorch or JAX and cloud platforms a plus.
Python, PyTorch, JAX, CUDA, Triton, Pallas, AWS, GCP, Azure
2mo
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Senior Software Engineer - Machine Learning Infrastructure - San Francisco, CA
San Francisco, California, United States
$176k-$230k/yr OnsiteFull Time
3+ YOE3+ years software engineering experience; background in data/ML/platform/ML infrastructure preferred; proficiency in Python and Java; familiarity with Azure, GCP, Docker, and Kubernetes; ability to work independently and research ML innovations.
Python, Java, Azure, GCP, Docker, Kubernetes, LLM
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