458 ml data engineer jobs at 250 companies in San Rafael, CA
3w
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Staff ML Data Engineer (Datagrid)
San Francisco, California, United States
$227k-$313k/yr HybridFull Time
8+ YOE8+ years building and operating large-scale data systems for ML; strong SQL and Python; experience with data pipelines, dataset curation, quality, and observability; ability to lead technical efforts and mentor engineers.
SQL, Python, Databricks, Spark, Kafka, Pub/Sub, Airflow, Dagster, AWS, GCP, CI/CD
1w
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COE -ML Engineer /Data Scientist
Santa Clara or San Jose or Palo Alto or Canada
$130k-$140k/yr RemoteFull Time
3+ YOE3+ years data science experience with Python (NumPy,Pandas,large JSON), NLP and transformer models, hybrid search (Elasticsearch/OpenSearch), multimodal data pipelines; Bachelor’s in data science or computer science; US work authorization required.
Python, NumPy, Pandas, JSON, Elasticsearch, OpenSearch
2w
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Lead, ML Data Operations
San Francisco, California, United States
$300k-$360k/yr OnsiteFull Time
6+ YOE6–8+ years in ML data operations or training data, director-level leadership experience building teams, vendor management, cross-functional collaboration with research/product/engineering.
3mo
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Senior Software Engineer, ML Data
San Francisco, California, United States
$200k-$240k/yr HybridFull Time
4+ YOE4+ years in software; strong Python; ML data training/evaluation knowledge; data mining, labeling, storage; end-to-end data product ownership; good communication.
Python, Data Mining, Data Labeling, Data Storage and Retrieval, Cloud
1w
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ML Infra Engineer (Data Systems)
San Francisco, California, United States
OnsiteFull Time
Strong software engineering fundamentals with experience building distributed systems, large-scale data pipelines, object storage and batch/streaming systems; ownership mindset and performance focus.
ClickHouse, Ray, Flink, Spark
2mo
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Senior Staff Data Engineer - Data & ML Platform
San Francisco, California, United States
$240k-$360k/yr HybridFull Time
10+ YOE10+ years data engineering experience; platform/infrastructure focus; Kafka, Flink, Spark, Python, SQL; ML platform infrastructure; mentoring; growth-stage experience.
Python, SQL, Spark, dbt, Kafka, Flink, Databricks, AWS
5d
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AI/ML Engineer
San Francisco, California, United States
$150k-$250k/yr OnsiteFull Time
4+ YOE4+ years developing and deploying AI/ML models, 2+ years technical leadership, proficiency in Python and modern ML frameworks, experience with physics-informed/spatial data and MLOps; BS required.
Python, PyTorch, JAX, TensorFlow, C++, Java, ANSYS, SolidWorks, Abaqus, COMSOL, CREO, Autodesk Inventor
1mo
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Senior ML Data Scientist (Credit Risk)
San Francisco, California, United States
OnsiteFull Time
7+ YOE7+ years applied ML/data science experience in credit risk or fraud; production experience with LLMs, embeddings, and transformer models; proficiency in Python, SQL, and ML frameworks; strong feature engineering and model monitoring skills.
Python, SQL, XGBoost, LightGBM, PyTorch, LLMs, transformer architectures
1mo
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Sr. ML Engineer – ML & Applied AI
San Francisco, California, United States
$181k-$236k/yr OnsiteFull Time
10+ YOE10+ years building production ML systems; strong Python and software engineering; experience with ML frameworks, model serving, MLOps, cloud platforms, and distributed data processing.
Python, scikit-learn, XGBoost, PyTorch, TensorFlow, FastAPI, Flask, Docker, Kubernetes, GCP, AWS, Azure, Git, Spark, PySpark, Databricks
3d
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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
2mo
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Sr. ML Ops Engineer
Mountain View or United States
HybridFull Time
2+ YOE2-3 years building production ML infrastructure; experience with distributed data pipelines; understanding data flow from raw to trained models; ability to build from scratch or contribute to infra; thrive in ambiguous startup environment.
Kubeflow, SLURM, S3, data pipelines, distributed training
1mo
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Data Engineer
Redwood City, California, United States
OnsiteFull Time
8+ YOE8+ years building production data systems with hands-on early-stage startup experience; deep Python and SQL skills; experience with extraction, ML/NLP pipelines, and owning data models and pipelines.
Python, SQL, ML, NLP, Claude
6d
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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
1w
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Senior Data Engineer
San Francisco, California, United States
$133k-$236k/yr OnsiteFull Time
5+ YOE5+ years data engineering experience; proficiency in SQL, Python, PySpark, Airflow, Databricks; experience with high-volume telemetry, AI/ML data pipelines, and data governance.
SQL, Python, PySpark, Airflow, Databricks, Unity Catalog, Azure
2mo
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Data Operations Engineer
San Francisco, California, United States
OnsiteFull Time
Specter: Building a software-defined perception engine for the physical world.
1+ YOE1+ years in data operations or technical coordination supporting ML/engineering, proficiency in Python, vendor and project management, familiarity with ML training-data workflows, strong communication and organization.
Python
4w
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Sr. Data Engineer
Palo Alto, California, United States
$145k-$220k/yr RemoteFull Time
5+ YOE5+ years data engineering experience; strong AWS (S3, EC2, EKS, Redshift, Glue, Athena) and cloud skills; SQL, Python, data modeling, ETL/ELT, and pipeline production experience; familiarity with vector DBs and ML data workflows.
S3, EC2, ECS, EKS, Athena, Redshift, Glue, Step Functions, Terraform, CloudFormation, SQL, Snowflake, Databricks Delta Lake, Neo4j, AWS Neptune, Python, pandas, PySpark, TypeScript, Node.js, C#, Postgres pgvector, Chroma, Pinecone, LangChain, LlamaIndex, Docker, Kubernetes, Kafka, Kinesis, Airflow, Prefect, dbt
6d
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Director, Data Engineer
Mountain View, California, United States
OnsiteFull Time
8+ YOE3+ Mgmt8+ years data engineering experience, 3+ years people management; proficiency in data modeling, ETL, Python, SQL; experience with Spark, HDFS, S3 and ETL schedulers (Airflow, Dagster, DBT); experimentation and ML familiarity.
Python, SQL, Spark, HDFS, S3, Airflow, Dagster, DBT
1mo
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Foundational Data Engineer
New York City or London or Palo Alto or Copenhagen or Seoul
$275k-$340k/yr HybridFull Time
Own end-to-end data pipelines for synthetic and mined training data, negotiate customer data access, ensure data quality and lineage, partner with ML and verification teams, and manage a growing data engineering team.
SystemVerilog, Verilog, UVM
1d
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Lead AI / ML Engineer
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yr HybridFull Time
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
1w
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King's AI/ML & Data Science Talent Pool
Stockholm or Berlin or London or Barcelona or Malmö or Dublin or San Francisco or New York City or Los Angeles or Malta
OnsiteFull Time
Open talent pool for candidates across AI, machine learning, data science and analytics; looks for experience with modeling, experimentation, production ML and collaboration with product and engineering.
Python, SQL, Spark, PyTorch, TensorFlow, scikit-learn
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