114 machine learning data engineer jobs at 87 companies in Vallejo, 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.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology for passenger and freight transportation.
MS/PhD in CS/ML/AI or related field, or equivalent experience; RL/production ML experience; deep learning, sequence modeling, generative models; publish or ship impactful ML systems; large-scale training and data processing; lead ambiguous work.
CATHEXIS: Provides consulting and technology services to federal government agencies.
2+ YOEBachelor's in CS/EE/Statistics (MS/PhD preferred), ~2 years relevant experience, strong Python and applied ML skills, scalable ML experience, strong math and communication skills.
Python, MapReduce, Amazon AWS, Microsoft Azure, Google Cloud Services
Seattle or United States or Redwood City or Santa Clara or Austin
$126k-$264k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years experience building and productionizing ML models; strong software engineering, model deployment, monitoring, data quality and debugging skills; stakeholder collaboration and mentoring experience.
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
5+ YOE5+ years data engineering experience supporting ML teams; strong SQL and Python; experience building ETL/ELT pipelines, orchestration (Airflow/Dagster/Prefect), dataset versioning, and working with unstructured audio/text data.
HoneyBook: Provides business management and payment software for independent professionals.
4+ YOE4+ years production engineering experience (3+ years on data-intensive Python systems), hands-on LLM production experience, distributed systems and workflow orchestration fluency, strong English and Hebrew communication.
Articul8: Builds and deploys secure generative AI platforms for enterprises.
BS/MS/PhD in computer science or related, proficiency with deep learning frameworks (e.g., PyTorch), Python, experience with ML for text/vision, strong distributed systems and large-scale data pipeline expertise (Ray, Docker, Kubernetes).
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
Neo.Tax: Automating enterprise accounting and R&D tax credit calculations.
6+ YOE6+ years in data science / ML shipping production models; strong Python, SQL; experience building data pipelines; production ML, experimentation, and cross-functional collaboration.
Happy Elements: Developer and operator of mobile games and digital entertainment content.
2+ YOEMS in CS or ML with 2+ years experience or PhD with 1+ years; expert in Python and ML frameworks; SQL; end-to-end ML production; strong math and communication skills.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
3+ YOEM.S./Ph.D. or equivalent experience; 3+ years building production ML with strong RL experience; depth in deep learning and generative models; distributed training and large-scale data processing; strong communication.
GoFundMe: Provides an online platform for personal and nonprofit fundraising.
7+ YOE7+ years building production ML systems; Python and ML libraries; pricing/monetization or growth optimization; real-time model serving; data engineering; ML monitoring; leadership.
AfterQuery: Curating specialized datasets and environments to train frontier AI models.
3+ YOE3–6 years relevant experience; strong software engineering and applied ML background; experience shipping production systems and working with messy real-world data; strong data intuition and cross-team collaboration skills.
Casap: A building AI-native disputes automation and fraud prevention platform.
3+ YOE3+ years designing and deploying ML models in production; strong ML algorithms and data analysis; building ML infra; Python/R and ML frameworks (TensorFlow, PyTorch, scikit-learn).
Eon Systems: Mapping and simulating biological brains for digital emulation.
Experience building large-scale connectomics/volumetric imaging pipelines, ML segmentation and reconstruction, TB–PB data handling, visualization, and collaboration with neuroscientists.
Atoms: Building specialized industrial robots and physical AI systems.
10+ YOE10+ years MLE experience; deep expertise applying transformers to robotics/spatio-temporal data; multimodal, sensor-fusion, and model optimization experience; proficiency in PyTorch or JAX, Python, and C++.
Bedrock Robotics: Automates heavy construction machinery with AI retrofit kits.
3+ YOEProduction ML with PyTorch; 3D geometry and calibration; early fusion architectures; transformer-based object detection; strong Python; systems/C++/Rust proficiency; data understanding and model evaluation.