710 ml data engineer jobs at 325 companies in Union City, 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
Mach9: AI-powered software that automates feature extraction from geospatial data.
3+ YOE3+ years in ML infrastructure; BS/MS in CS/Engineering; strong Python and PyTorch; data versioning, pipelines, and model serving experience; good communication.
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.
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.
Clera: AI talent agent matching professionals with high-growth startup roles
4+ YOE4+ years building and deploying AI/ML models, 2+ years technical leadership, proficiency in Python and PyTorch/JAX/TensorFlow, experience with physics-informed/sequence/mesh data, familiarity with MLOps, and a bachelor's degree in CS/ME/EE or related.
Sila: Manufactures silicon-based anode materials to improve battery performance.
Bachelor/Master/PhD in engineering, CS, OR, IE or related; strong Python; production software experience; ML libraries; time-series/industrial data experience; cross-functional collaboration.
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.
42dot: Develops autonomous driving software and software-defined vehicle technology.
7+ YOE7+ years in Data Engineering or ML Platform; expert Python; databases; distributed AI frameworks; data pipelines with Airflow/Databricks; Spark; leadership.
Mountain View or New York City or Los Angeles or Dallas or Miami or Chicago or Seattle or North America
RemoteFull Time
Cognify Analytics: A technology delivering AI and ML solutions.
3+ YOE3–5 years in ML engineering; strong Python; TensorFlow/PyTorch/scikit-learn; production ML pipelines; MLOps; cloud platforms; SQL; Docker/Kubernetes; REST APIs.
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.
BS/MS/PhD in CS/Engineering/Robotics or equivalent; strong Python; solid DB fundamentals; ML data-pipeline familiarity; large codebase experience; eligible to work in the United States.
Python, SQL, Bazel, Monorepos, Dev Containers, Cloud (GCP or AWS), Data Catalogs/Feature Stores
Omnifold: AI-powered forecasting and planning platform for supply chains.
5+ YOE5+ years ML engineering with forecasting/optimization; knowledge of LLMs and real-world data; experience with large codebases; academic or industry research preferred.