596 ml data engineer jobs at 279 companies in San Bruno, CA
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Staff ML Data Engineer (Datagrid)
San Francisco, California, United States
$227k-$313k/yrHybridFull Time
ProcoreNYSE: PCOR: Cloud-based construction management software for projects and teams.
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.
Qualitest: AI-powered software testing and quality engineering services.
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.
Suno: AI platform for creating full songs from text prompts.
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.
Voxel: AI platform for real-time industrial workplace safety monitoring.
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
Physical Intelligence: Creating foundation models for general-purpose robot intelligence.
Strong software engineering fundamentals with experience building distributed systems, large-scale data pipelines, object storage and batch/streaming systems; ownership mindset and performance focus.
Clera: AI talent agent matching professionals with high-growth startup roles
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.
Zed: AI-native neobank providing premium credit services to young professionals.
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.
Gap Inc.NYSE: GAP: Global specialty retailer of apparel and accessories.
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.
Corvus Robotics: Fully autonomous drones for automated warehouse inventory management.
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
Sodalis: AI operating system for specialty pharmacy workflows and automation.
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.
Waystation: AI-native procurement platform for consumer packaged goods.
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.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
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.
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.
Allocate: A fintech providing a data-rich platform for discovering, modeling, and managing private market investments.
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.
CoupangNYSE: CPNG: Provides an end-to-end e-commerce and logistics network.
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.
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
KingNASDAQ: MSFT: Developer and publisher of mobile games and interactive entertainment.
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.
New York City or London or Palo Alto or Copenhagen or Seoul
$275k-$340k/yrHybridFull Time
Normal Computing: Building probabilistic AI and thermodynamic computing for semiconductor design.
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.
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yrHybridFull Time
Early Warning Services: Operates payment and risk solutions for the financial industry.
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.