719 ml data engineer jobs at 329 companies in Berkeley, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
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.
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.
Clera: AI talent agent matching professionals with high-growth startup roles
Proficiency in Python, C++, or Java; strong ML and data analysis skills; understanding of simulation and engineering principles; bachelor's degree in CS/engineering; collaborative and problem-solving skills.
ML Engineer - Evaluation Analysis, Metric and Data Strategy
Culver City or Cupertino or San Diego or Seattle
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
5+ YOEBachelor's in a quantitative field; 5+ years in data science/evaluation; experience with statistics, experimental design, production user data; Python or R for analysis; ability to design metrics and dashboards.
Python (pandas, scipy, scikit-learn), R, data analysis, visualization
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.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOEExpertise in Python, AWS ML, ML fundamentals, model deployment/MLOps, SQL, and working with structured/unstructured data; 8+ years experience preferred; bachelor's in computer science.
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
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.
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.
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.