123 applied ml engineer jobs at 91 companies in Vallejo, CA
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Applied ML Engineer
San Francisco or Singapore
HybridFull Time
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.
Gap Inc.NYSE: GAP: Global specialty retailer of apparel and accessories.
10+ YOE10+ years building production ML systems; strong Python and software engineering; experience with ML frameworks, model serving, MLOps, cloud platforms, and distributed data processing.
Docker: Provides a platform for building, sharing, and running containerized applications.
8+ YOE8+ years professional software engineering experience, 5+ years applied ML experience, bachelor's in CS/Engineering or equivalent, experience shipping ML systems, LLM/agent experience, on-call participation possible.
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
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOEAdvanced degree in CS/ML/Statistics, 5+ years applied AI/ML experience, experience deploying ML to production, experiment design and evaluation, strong software engineering and distributed computing skills, leadership and mentoring experience.
Amazon Web Services (AWS) SageMaker, Amazon Bedrock
Luminary Cloud: Cloud-native physics simulation platform for accelerated product engineering.
5+ YOE5+ years applied ML experience with scientific computing or engineering simulation; strong Python and PyTorch skills; experience training and deploying engineering models; customer-facing and able to travel occasionally.
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.
WisdomAI: AI-powered conversational analytics platform for enterprise data teams.
5+ YOE5+ years applied ML/NLP experience, Master's required (PhD preferred), deep LLM and agent experience, production Python and ML framework skills, evaluation and benchmarking expertise.
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.
GapNYSE: GAP: Retailer of apparel and accessories across multiple global brands.
10+ YOE10+ years in machine learning or software engineering; production ML systems; Python; ML frameworks; CI/CD; cloud; Spark; Databricks; Docker; Kubernetes.
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.
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.