82 applied machine learning engineer jobs at 39 companies in San Pablo, CA
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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.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced in search and recommendation, applied machine learning and LLMs, deploying ML models at scale, strong technical skills and product-oriented mindset.
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
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ YOE5+ years applied machine learning experience; strong statistical, optimization, and experimental methodology knowledge; proficient in Spark, Python or Java; experience with real-time, low-latency systems and distributed ML frameworks.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
4+ YOEMS/PhD or equivalent experience; 4+ years in circuit design/VLSI/ASIC/EDA or silicon analysis; strong Python and C++ programming; experience with deep learning, PyTorch, and agent frameworks like LangChain/LangGraph preferred.
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.
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.
Machine Learning Platform Engineer, Applied Machine Learning Team
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
3+ YOEBachelor's in CS or related, 3+ years software engineering, proficiency in Python and Golang, experience with distributed computing and large-scale data processing (Hadoop, Spark), strong communication and problem-solving.
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++.
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.
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.
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.
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.
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.
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.
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.