10 llm engineer jobs at 6 companies in Seaside, 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.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Systems-minded engineer for LLM inference and post-training infrastructure focused on P/D disaggregation, KV cache lifecycle, GPU/CPU/storage offloading, multi-GPU scalability, Python/C++ proficiency, profiling and benchmarking experience, and a CS/CE/EE degree.
United States or Oakland or San Francisco or New York City or Boston or Seattle or Irvine or Los Angeles or Monterey or Santa Barbara or Santa Rosa or Austin or Portland or Philadelphia or Chicago
$146k-$235k/yrRemoteFull Time
LaunchDarkly: Provides a feature management platform for software development teams.
5+ YOE5+ years full-stack engineering; strong TypeScript and React; experience with Go or Node; shipped AI/agent features and MCP/LLM tooling; instrumentation, funnel analysis, A/B testing, and on-call support experience.
Software Development Manager, LLM Inference Model Enablement, Neuron SDK
Cupertino, California, United States
$213k-$288k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
7+ YOE3+ MgmtManage engineering team to onboard and optimize LLMs for inference on Trainium; strong background in LLM architectures, model performance optimization, and inference techniques; experience with PyTorch and Neuron stack.
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)
McLean or San Francisco or San Jose or Richmond or New York City
$197k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor’s or Master’s in CS/AI/EE/CE with 2–4+ years of AI/ML experience; 4+ years Python/Go/Scala/Java; cloud experience with AWS/GCP/Azure preferred.
AWS, Huggingface, PyTorch, VectorDB, Nemo Guardrails, Open Source AI tools
TrueNAS: Develops open source enterprise storage and data management platforms
7+ YOESenior DevOps/Full‑stack engineer with 7+ years building production applications and integrations, experience with AI/LLM agents (Anthropic Claude, Google Gemini), Python, JavaScript/TypeScript, Node.js, REST APIs, Docker, CI/CD, and enterprise systems.
Anthropic Claude, Google Gemini, SAP S/4HANA Cloud Public, SAP Business ByDesign, SAP Concur, Salesforce, Google Workspace, Zoom, Slack, Jira, GitHub, Python, JavaScript/TypeScript, Node.js, React, Vue, RESTful APIs, Docker, CI/CD, Git, AI MCP, iPaaS
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
5+ YOE5+ years game development experience; expert C++ or C#; Python for tooling; proven experience applying LLMs or Diffusion models; systems thinking and experience integrating GenAI into real-time game systems.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Expertise training LLMs/LMMs and image/video generation models, familiarity with transformer architectures, Python development, ML frameworks, distributed training, and strong communication; PhD or Master’s preferred.
Research Scientist 5 — Content Representation Models (CRM)
Los Gatos, California, United States
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
3+ YOEPhD in Computer Science or related, 3+ years research experience, deep expertise in ML and foundation models/LLMs, strong publication record, and software engineering skills in Python and PyTorch.
Sr Technical Program Manager, AWS Generative AI & ML Servers
Seattle or Cupertino
$149k-$231k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years technical program/product management, experience driving cross-functional engineering programs, managing ODM partnerships, risk and critical-path management, and using data to drive quality improvements.