46 applied machine learning engineer jobs at 36 companies in Ross, CA
3w
Save
Mark Applied
Hide
3w
Applied Machine Learning Engineer
San Francisco, California, United States
HybridFull Time
Ohm: Enterprise AI platform for hardware and battery product development.
3+ YOE3+ years in data science or applied ML; experience delivering production ML systems, working with time-series/noisy engineering data, anomaly detection/optimization, and cloud deployment/support; STEM background.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
2+ YOEMasters (with ~6+ years) or PhD (with 2+ years) in CS/ML/robotics/math; strong ML and software fundamentals; production ML experience; fluency in Python and a deep-learning framework (PyTorch); experience with large-scale data and foundation-model workflows.
Python, PyTorch, turbopuffer, Milvus, Ray Data, Daft, Spark, Lance, Iceberg
Wayve: Develops AI software for autonomous vehicle navigation.
2+ YOEMasters + ~6 years or PhD + 2 years in CS/ML/robotics/math; strong ML and software fundamentals; production ML experience at scale; Python and PyTorch fluency; experience with large-scale data, model evaluation, and data curation/enrichment.
Shipt: Provides same-day delivery services from local retailers via app.
4+ YOE4+ years applying machine learning and statistics in industry, Python development, experiment design and analysis, presenting to stakeholders; MS/PhD preferred.
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.
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++.
Machine Learning Research Engineer, Applied Research
Redwood City, California, United States
$140k-$240k/yrHybridFull Time
WindBorne Systems: Operates smart weather balloons to provide global atmospheric data.
Strong Python and PyTorch skills, track record delivering research prototypes, experimental instincts with imperfect data, excellent communication, and ability to own end-to-end applied research projects.
Allocate: A that provides a data-rich platform for discovering, modeling, and managing private market investments.
4+ YOE4+ years applied ML/LLM engineering with strong Python, production model deployment, model fine-tuning and evaluation, Git proficiency, and experience with AI-assisted development tools.
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.
Poshmark: Social marketplace for buying and selling secondhand fashion.
6+ YOE6+ years software development; 4+ years applying machine learning to real problems; strong ML background; proficient in SparkML, TensorFlow, PyTorch, Keras; knowledge of distributed systems.
CoupangNYSE: CPNG: Provides online retail, grocery delivery, and video streaming services.
4+ YOEBachelor's in CS or related, 4+ years applied ML experience, proficiency in ML/deep learning, production ML systems, Python/Java; experience with search, LLMs, embeddings preferred.
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
6+ YOEMS/PhD in CS/ML/NLP/Statistics/Information Sciences,6+ years industry experience,ML/IR research experience,mastery of Java,C++,Python or ML frameworks (Tensorflow,Pytorch,MLFlow),strong communication and problem-solving skills.
Stand: Provides homeowners insurance using physics-driven AI risk assessment.
Deep experience designing and productionizing multimodal ML and LLM systems, applying ML to physical systems, strong ownership, communication, and cross-disciplinary collaboration.
CoupangNYSE: CPNG: Provides an end-to-end e-commerce and logistics network.
6+ YOEBachelor's in a technical field,6+ years applied ML experience,proficiency in Python or Java,experience building production ML systems,knowledge of ML frameworks and cloud platforms.
Glean: AI platform for enterprise search and automated workplace agents
2+ YOE2+ years industry ML or applied AI experience, production ML ownership, LLM/NLP/search experience, strong coding in Python/Go/Java/C++, experimentation and evaluation skills.
Senior / Staff Machine Learning Engineer, Applied AI
Cambridge or San Francisco
$180k-$336k/yrOnsiteFull Time
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
Strong ML engineering with LLM experience; expertise in training, adapting, evaluating, and deploying models; proficiency in Python and modern ML frameworks; ability to design experiments and debug model behavior.
Python, PyTorch, JAX, TensorFlow, Megatron-LM, TorchTitan, DeepSpeed, Ray
Waymo: Autonomous driving technology for ride-hailing and logistics.
5+ YOEBachelor's/Master's/PhD in CS/ML/robotics, 5+ years ML engineering/applied deep learning experience, proficiency in Python and JAX/Flax/PyTorch, and experience designing evaluation frameworks.
Velo3DNASDAQ: VELO: Manufacturer of advanced metal 3D printers and software.
3+ YOEBachelor's in CS/EE/Applied Math (advanced preferred), 3+ years building ML models, experience with computer vision and time-series ML, strong Python and PyTorch skills, production ML pipelines and deployment experience, ability to communicate technical tradeoffs.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
2+ YOEPhD or master in AI/data science,2+ years technical experience,LLM fine-tuning and RAG/agent experience,API and product deployment,Python and PyTorch proficiency,strong communication;fluent English.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
5+ YOE5+ years as an ML engineer or applied scientist with production ML/LLM systems; experience building evaluation/monitoring or continuous-learning infrastructure; strong experimentation and collaboration skills.