27 large language model engineer jobs at 21 companies in Berkeley, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Apply deep learning and large language models to improve search quality and customer experience; partner with research and product teams and deliver measurable results at global scale.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
Senior production engineer with distributed systems experience, hands-on with large language models, SRE mindset, and strong programming skills (Python, Go, Java, or C++), Kubernetes knowledge, and collaborative skills.
New York City or London or Palo Alto or Copenhagen or Seoul
$300k-$400k/yrOnsiteFull Time
Normal Computing: Building probabilistic AI and thermodynamic computing for semiconductor design.
Deep knowledge of large-model inference, stochastic systems, and numerical methods; experience implementing algorithms on real hardware; strong Python and systems-language programming skills.
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
Expert-level PyTorch; production ML software engineer; large language model training; evaluation metrics; ML lifecycle expertise; track record shipping production ML.
PyTorch, Python, Machine Learning tooling, Production code
Senior Staff Machine Learning Engineer (Coupang AI Foundations)
Seattle or Mountain View
HybridFull Time
CoupangNYSE: CPNG: Provides an end-to-end e-commerce and logistics network.
8+ YOE8+ years in AI/ML; Bachelors in CS or related field; 5+ years in AI/ML techniques; experience with large language models or related systems preferred.
Python, Machine Learning, Deep Learning, Large Language Models, Agents/Tokenization (as applicable), Algorithms
DocuSignNASDAQ: DOCU: Provides electronic signature and agreement management software solutions.
5+ YOE5+ years software engineering, distributed systems, backend architecture, ML model deployment, Python plus another typed language, Kubernetes, Kafka/Service Bus, large-scale systems, SLAs/SLOs
Python, Kubernetes, Kafka, Service Bus, Temporal, Ray, Spark, Azure, GCP, Model serving, infrastructure as code
AI Fund: Builds and invests in artificial intelligence startups.
3+ YOE3+ years software engineering experience with end-to-end ownership of production AI applications, experience with large language or multimodal models, SQL/NoSQL, frontend/backend/cloud, retrieval and agentic systems, and strong communication.
large language models, multimodal models, SQL, NoSQL, APIs, cloud infrastructure
Tavus: Develops AI models for creating emotionally intelligent digital humans.
PhD (or near completion) in a relevant field; strong background in large multimodal models and generative language models; experience in fine-tuning/adapting VLMs; strong PyTorch skills.
PalantirNasdaq: PLTR: Developing software platforms for data integration and analytics.
2+ YOE2+ years software engineering experience; proficiency in Python, Java, C++, TypeScript/JavaScript; hands-on experience using Large Language Models (LLMs); strong cross-functional collaboration and communication skills.
Python, Java, C++, TypeScript, JavaScript, Large Language Models (LLMs)
Transluce: Develops open-source tools for AI interpretability and safety evaluation.
Experience fine-tuning language models, designing architectures, creating evaluations, strong programming, experimental design, and communication; ability to scale training/inference for very large models.
SWE-bench, predictive concept decoders, user model extractors
Anthropic: Developing safe and reliable artificial intelligence systems.
Experience training and evaluating large language models, Python proficiency, building large-scale data pipelines, strong communication and independent collaboration skills; bachelor’s degree or equivalent required.
CoupangNYSE: CPNG: Provides online retail, grocery delivery, and video streaming services.
3+ YOE3 years of software engineering experience with expertise in Large Language Models and Generative AI; strong product-driven engineering mindset; experience owning end-to-end AI applications; knowledge of prompt engineering, LLM orchestration, vector databases, and MLOps.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE10+ years in data engineering/ML infrastructure, distributed systems expertise, Python and a systems language, experience with Ray or Spark, GPU inference optimization, large-scale databases and data curation for model training.
3+ YOEBachelor's (or Master's) in CS/related plus 3–5+ years experience; 3 years with C++ and algorithm design; experience productionizing large language/multimodal models or ML infrastructure; BSA in RL or speech/audio tech preferred; strong communication and critical thinking.
Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs
Menlo Park, California, United States
$219k-$301k/yrOnsiteFull Time
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
4+ YOEBachelor's degree in CS or equivalent; 4+ years industry research experience in data curation for large language/media models; 4+ years formal technical lead experience; published research; experience leading cross-functional technical initiatives.
AsanaNYSE: ASAN: Software platform for team project management and workflow automation.
7+ YOE4+ Mgmt7+ years software engineering; 4+ years leading technical teams; hands-on AI with large language models; cross-functional collaboration; scale-focused platform experience.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
5+ YOE5+ years building large-scale ML systems, 2+ years with vision-language or foundation models, strong systems and infrastructure experience, cross-functional collaboration, and people leadership.
Buck Institute for Research on Aging: Conducts biomedical research to extend the healthy human lifespan.
Master's degree or equivalent experience; strong Python skills; deep experience with large language models, agentic AI, RAG/vector systems, AI APIs, and modern software engineering; experience with harmonizing and modeling large biomedical/omics datasets.
Python, Docker, APIs, cloud platforms, vector databases, embeddings, retrieval-augmented generation (RAG), Large Language Models (LLMs), LLM-based developer tools, AI agent frameworks, vector search