19 model serving engineer jobs at 18 companies in Napa, 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.
Rime Labs: Developing enterprise-grade, real-time voice AI models.
Hands-on experience with real-time multinode ML serving, distributed model serving, Linux internals, networking, containerization (Docker, Kubernetes), IaC (Terraform, Packer), and on-call/production reliability responsibilities.
Sequen AI: AI-native ranking engine for enterprise search and recommendations.
4+ YOEMinimum 4+ years MLOps or ML/platform engineering; expertise with low-latency model serving, Python and PyTorch; cloud (AWS/GCP/Azure), Docker, Kubernetes, MLflow; strong distributed systems and pipeline experience.
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
San Francisco, California, United States
$180k-$270k/yrHybridFull Time
Plaud: Develops AI-powered voice recorders and automated transcription software.
Experience building and deploying high-throughput, ultra-low-latency inference for LLMs or speech models; optimize latency/throughput; manage KV cache; understand GPU memory hierarchies; collaborate across ML and backend teams.
Shipt: Provides same-day delivery services from local retailers via app.
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
Mach9: AI-powered software that automates feature extraction from geospatial data.
3+ YOE3+ years in ML infrastructure; BS/MS in CS/Engineering; strong Python and PyTorch; data versioning, pipelines, and model serving experience; good 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.
GoFundMe: Provides an online platform for personal and nonprofit fundraising.
7+ YOE7+ years building production ML systems; Python and ML libraries; pricing/monetization or growth optimization; real-time model serving; data engineering; ML monitoring; leadership.
Inferact: An AI infrastructure building vLLM to accelerate and scale model inference.
Bachelor's or equivalent experience in CS/engineering/ML, deep knowledge of LLM inference and model serving, experience with vLLM or adjacent systems, strong technical writing/teaching portfolio, and ability to build demos and tutorials.
vLLM, SGLang, TensorRT-LLM, TGI, LoRAX, Ray Serve, FlashInfer, BentoML, Baseten, CUDA, PyTorch, Modal, Predibase, Together AI, Anyscale, LMSYS
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Experience building and operating ML infrastructure and model serving systems; proficiency in Golang or Python; Kubernetes experience; familiarity with ML serving frameworks and distributed systems; strong collaboration and communication.
Frontier Medicines: Developing precision medicines for traditionally undruggable disease-causing proteins.
1+ YOEBSc (2–3 yrs) or PhD (1+ yr) in a quantitative field, strong Python programming, experience designing/training multimodal and generative ML models (self-supervised, MoE, DeepSpeed/FSDP), and ability to deploy/serve models for drug discovery; legal US work authorization required.
Python, DeepSpeed, FSDP, Mixture of experts (MoE), RAG, GNNs, VAEs
Mem0: Provides persistent memory layers for artificial intelligence applications.
Experience with RAG/IR, model training and fine-tuning (LLMs/encoders), strong Python and PyTorch skills, familiarity with vLLM and serving frameworks, evaluation at scale, orchestration of low-latency data pipelines, and clear stakeholder communication.
Calico: Researching aging biology to develop longevity-improving therapies.
5+ YOE5+ years ML software engineering experience; strong Python and JAX or PyTorch skills; experience building model training/serving/eval platforms; willing to work onsite at least four days/week.
Together AI: Cloud platform for training and deploying artificial intelligence models.
8+ YOE8+ years ML engineering experience focused on model serving, inference optimization, and ML infrastructure at production scale; strong Python/PyTorch, GPU optimization, and system design skills; leadership and developer tooling experience; domain knowledge in speech/audio AI preferred.
Physical Intelligence: Creating foundation models for general-purpose robot intelligence.
Strong backend and systems engineering with clean Python, ability to deploy and serve ML models, build scalable APIs and data ingestion, debug partner deployments, and communicate with researchers and partners.
United States or Canada or San Francisco or New York City or Seattle or Boston or Chicago or Denver or Austin or Portland
$195k-$358k/yrRemoteFull Time
Outschool: Marketplace for live online small-group classes for children.
10+ YOE5+ Mgmt10+ years in data/analytics/engineering roles, 5+ years managing data or analytics teams, strong SQL/dbt/data modeling skills, experience with Redshift, self-serve analytics tools, experimentation, and stakeholder communication.
Livingston or New York or Sunnyvale or San Francisco or Bellevue
$207k-$275k/yrOnsiteFull Time
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
10+ YOE10+ years in distributed systems/ML infrastructure or production AI engineering; 5+ years with AI runtime systems; expertise in model serving, batching, execution isolation, GPU memory management, and Kubernetes; strong customer-facing and commercial skills.