118 applied machine learning engineer jobs at 48 companies in Los Gatos, 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.
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.
PinterestNYSE: PINS: Visual discovery engine for finding and saving ideas.
5+ YOE5+ years of industry computer vision experience; M.S. or PhD in machine learning, computer science, or a related field; hands-on diffusion text-to-image modeling and independent model implementation experience.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
4+ YOEMS/PhD in relevant field or equivalent experience; 4+ years in VLSI/ASIC/EDA/circuit design; strong Python and C++ skills; experience with deep learning, PyTorch, and agent frameworks a plus.
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.
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.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Applied machine learning and strong software engineering skills; experience with ML/LLM and distributed systems; focus on building privacy-preserving, generative AI features for consumer products.
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.
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++.
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.
Gen Digital: Provides cybersecurity, identity protection, and online privacy software solutions.
5+ YOEFive or more years in applied machine learning or related fields; strong Python, SQL, ML modeling, experimentation, production ML, cloud MLOps, and large-scale data experience.
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.