720 ml data engineer jobs at 315 companies in South San Francisco, 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.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
The posting describes an opportunity to support data operations for machine learning products but does not specify education, experience, or credential requirements.
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
Vancouver or San Francisco or San Jose or Cork or London
$160k-$180k/yrHybridFull Time
Tigera: Security and observability platform for Kubernetes clusters.
5+ YOERequires 5+ years of ML engineering experience, including 2+ years deploying production ML systems, strong classical ML and anomaly detection skills, LLM application experience, Python, ML frameworks, telemetry data, and communication skills.
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.
Databricks: A unified platform for data analytics and artificial intelligence.
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
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.
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.
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.
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.
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Seattle or Toronto or Santa Barbara or San Diego
$127k-$190k/yrRemoteFull Time
Invoca: AI platform for conversation intelligence and revenue execution.
5+ YOE5+ years in data or software engineering; advanced Python, SQL, Databricks, Spark, and data modeling; experience with orchestration, streaming, cloud infrastructure, data quality, ML datasets, and privacy; bachelor's degree or equivalent.
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.
Software Engineer/Senior Software Engineer, Applied ML & Data Mining
Santa Clara, California, United States
$130k-$220k/yrHybridFull Time
PlusAI: AI-based virtual driver software for factory-built autonomous trucks.
Degree or equivalent experience in CS/ML, hands-on ML/data-mining experience with PyTorch or TensorFlow, foundations in embeddings/similarity search and model evaluation, product-oriented ownership, backend/frontend familiarity.
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.