292 machine engineer jobs at 157 companies in Rohnert Park, CA
3d
Save
Mark Applied
Hide
3d
Machine Learning Engineer
San Francisco, California, United States
$176k/yrHybridFull Time
Bardeen: AI-powered platform for automating browser-based workflows and tasks.
1+ YOEMaster's in computational science and engineering or related machine learning field plus 1 year of experience with deep learning, LLMs, Python, cloud infrastructure, evaluation, monitoring, and distributed inference.
Shipt: Provides same-day delivery services from local retailers via app.
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
3+ YOE3+ years building and deploying ML models in production; proficiency in Python, PyTorch/TensorFlow; experience with tree-based models (XGBoost, LightGBM) and feature engineering; strong ML foundations and communication skills.
Saris AI: Automates banking back-office workflows using autonomous AI agents.
8+ YOE8+ years ML/AI engineering with technical lead experience, productionizing LLM/agent systems, monitoring and reliability, strong ML fundamentals, and people leadership.
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.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
Affinity: Relationship intelligence platform for financial dealmakers.
5+ YOE5+ years software engineering/ML experience, production ML deployment, ranking/recommendation systems, Python and ML frameworks (PyTorch, Scikit-learn), vector/graph DB exposure, observability and A/B testing experience.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOEBachelor's in quantitative field or equivalent,5+ years building and operating production ML systems,experience with LLMs/GenAI,fluency in Python and SQL,rigorous evaluation and experimentation skills.
Security Level 5: Developing technical security standards for frontier AI systems.
Experience training models at an AI lab or equivalent; current frontier methods and infrastructure knowledge; proficiency across multi-node jobs, accelerators, orchestration, storage, and data pipelines; strong experimental design and reasoning skills.
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.
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.
Petra Security: AI-powered identity threat detection for Microsoft 365 environments.
4+ YOE4+ years of machine learning engineering experience shipping production models; quantitative fundamentals, production-grade coding, and experience with streaming pipelines, feature stores, high-performance databases, and distributed systems.
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.
Brain Co.: Builds AI software platforms for governments and large enterprises.
Expertise in ML and modern AI (LLMs, VLMs, RL fine-tuning), production ML, evaluation and model routing, and building shared platform capabilities for institutional workflows.
Atoms: Building robotics and software to automate physical world industries.
4+ YOEMinimum 4 years MLE experience; expertise in Transformers, multimodal systems, sensor fusion (camera, LiDAR, radar); proficiency with PyTorch or JAX, Python and C++; experience optimizing and deploying models to edge hardware and building data curation pipelines.
Sprinter Health: Mobile provider of in-home diagnostic and preventive healthcare services.
8+ YOE8+ years building production ML systems and infrastructure; experience with training/serving pipelines, feature pipelines, monitoring, deployment, cloud, containers, CI/CD, and model governance.
Taskrabbit: Marketplace matching freelance labor with local home service demand.
8+ YOE8+ years building and deploying production ML systems; deep expertise in ranking/recommender systems, debiasing, A/B experimentation, and system architecture. Strong Python and SQL skills; experience with ML libraries and modern data/infra tooling.
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++.
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.
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yrHybridFull Time
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.