263 applied ml engineer jobs at 134 companies in Berkeley, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
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.
Cadence Design SystemsNASDAQ: CDNS: Develops computational software and hardware for electronic system design.
5+ YOEAdvanced ML and software engineering experience building production-quality agentic systems, LLM deployment, evaluation frameworks, retrieval pipelines, and observability for large-scale EDA workflows.
Xcelium, Jasper, Palladium, Protium, Helium, EDA, Large language models (LLMs), Retrieval-augmented generation (RAG)
Sila: Manufactures silicon-based anode materials to improve battery performance.
Bachelor/Master/PhD in engineering, CS, OR, IE or related; strong Python; production software experience; ML libraries; time-series/industrial data experience; cross-functional collaboration.
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.
Senior Applied ML Research Engineer, Agentic Security
San Francisco or New York City or Amsterdam or Paris or London
RemoteFull Time
Dynamo AI: Builds trustworthy AI platform providing guardrails, red-teaming, and observability for generative AI systems in regulated industries.
Advanced ML research and engineering experience; MS/PhD in CS/ML or equivalent; model fine-tuning, evals, production-quality code, experiment design, and security mindset preferred.
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.
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
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
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.
Sr. Software Development Engineer (Applied ML)-Hardware Product Design
Sunnyvale, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Apply ML to 3D geometry and manufacturing workflows, integrate ML into CAD-driven machining and prototyping processes, and build reliable solutions for machinists in partnership with Advanced Development Lab.
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.
Anvil Robotics: Modular hardware and software platform for physical AI development.
Hands-on experience deploying Generative AI robotics models to real hardware; familiarity with robot learning; experience with customers; ability to implement published research or off-the-shelf models.
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.
5+ YOE5+ years software engineering experience, 3+ years applying ML/AI to production; experience with transformer/foundation models, full-stack engineering, ML evaluation/observability, and regulated-compliance deployments.
LLM orchestration, foundation models, transformer-based architectures