14 large language model engineer jobs at 13 companies in Fairfield, 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.
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.
Rippling: Unified platform managing workforce HR, IT, and finance operations
8+ YOE8+ years backend software engineering experience, distributed systems and large-scale architecture, deep proficiency in a modern backend language, and experience with SQL/NoSQL and complex data modeling.
Python, Go, Java, SQL, NoSQL, Slack, Microsoft 365
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
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
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.
Baseten: Scalable infrastructure platform for deploying and serving AI models.
2+ YOE2+ years professional experience, proficiency in Python, experience with RL and SFT for large language models, strong communication, and BS/MS/PhD in CS, engineering, math, or related field.
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.
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.
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