89 applied ml engineer jobs at 63 companies in Cotati, CA
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Applied ML Engineer
San Francisco, California, United States
$170k-$280k/yrOnsiteFull Time
Macroscope: Provides AI-powered codebase analysis and automated code reviews.
3+ YOE3+ years applied ML experience; experience building, training, fine-tuning, or evaluating ML models; dataset creation and evaluation; experiment design; familiarity with LLMs and reinforcement learning techniques.
Adaption: Develops efficient AI systems that adapt in real-time.
4+ YOE4+ years ML or applied research experience, 2+ years customer-facing technical experience, strong software engineering skills, familiarity with PyTorch/JAX/TensorFlow, and excellent communication.
Databricks: A unified platform for data analytics and artificial intelligence.
4+ YOEMaster's in ML/data science or related field, strong production ML experience, cloud/distributed systems familiarity, proficiency in Python/Scala/Java; PhD preferred; 4+ years ML engineering experience preferred.
Python, Scala, Java, Apache Spark, Delta Lake, MLflow
San Francisco or California or North America or Europe
RemoteFull Time
Intangible: Provides AI-powered 3D design and spatial intelligence software.
Exceptional software development ability; ML, NLP, and LLM expertise; Python and ML library proficiency; vector and graph database experience; and ability to ship AI features end-to-end.
NobleAI: Science-based AI platform for industrial product R&D optimization.
Ph.D. in a STEM field required; ML coursework or degree; hands-on experience applying ML to scientific/engineering problems; strong Python and ML framework experience; ability to deploy models to production and communicate complex technical results.
Python, PyTorch, TensorFlow, Keras, sklearn, Microsoft Azure, AWS, GCP
Abby Care: Trains and pays family members to provide home care.
2+ YOE2+ years professional software/ML or applied AI experience, strong software engineering, experience with language models/AI APIs, backend and data pipeline skills, ability to evaluate models and work with healthcare workflows.
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
5+ YOE5+ years building production ML/AI systems, hands-on applied science (data, evaluation, modeling), shipped agentic/LLM features, cross-stack engineering experience, and strong experimental and product judgment.
Corridor: Secures software codebases using AI-powered autonomous vulnerability detection.
3+ YOE3+ years engineering or ML experience, production shipping experience, hands-on LLM work and evaluation, product-minded and self-directed, experience improving AI systems end-to-end.
Clera: AI talent agent matching professionals with high-growth startup roles
4+ YOE4+ years applied ML engineering in production, experience with LLMs/fine-tuning/RAG or large-scale recommender systems, strong Python and PyTorch or JAX skills, distributed training/GPU/inference serving experience, and mentoring ability.
Artos: AI-powered document authoring platform for life sciences R&D.
2+ YOE2+ years building and deploying AI/ML applications, hands-on LLM experience, backend engineering with Python, API development (FastAPI/Django), cloud container deployment, R&D on model capabilities, and evaluation tooling experience.
Roger Healthcare: AI clinical documentation platform for home health clinicians.
7+ YOE7+ years software engineering with AI/ML depth, experience training/fine-tuning LLMs, shipping AI products, strong eval/observability skills, agentic systems experience, and product/startup mindset.
Taste Labs: Building the data and infrastructure layer for AI taste.
Experienced with LLMs, post-training and evaluation design (judges/reward models), running ML experiments and infra, collaborating with external labs, and publishing results.
Arcade: Infrastructure for AI agents to securely interact with external applications.
5+ YOE5+ years software engineering with at least 2 years shipping production ML or applied‑AI systems; strong Python; LLM application depth; multi-tool/workflow design; scalable evals and statistics; comfortable with frontier models; hands-on shipping mindset.
Arcade: Design and buy custom physical products using generative AI.
8+ YOE8+ years building and shipping production ML systems; systems thinking for pipelines, training, serving, and evaluation; strong Python, Linux, PyTorch/TensorFlow; cloud deployment and large-scale data handling.
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.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE5+ MgmtSenior ML engineering leader; 10+ years in applied ML; 5+ years leading engineering teams; experience shipping generative AI at enterprise scale.
CUDA, NCCL, GPU stack, inference pipelines, data pipelines
Orum: AI sales platform for automated calling and conversation insights.
7+ YOE7+ years software engineering with strong hands-on AI/ML; proven production AI/ML; experience with ML pipelines, LLMs, prompting, RAG, embeddings, and agents; scalable AI system design; data pipelines and large-scale data systems; independent technical direction; customer-impact mindset.
Python, LLMs, ML pipelines, Data pipelines, AI and ML tooling, Prompts, RAG, Embeddings, Agents, BigQuery, ClickHouse