49 model serving engineer jobs at 43 companies in Concord, 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.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOE10+ years applying machine learning and optimization to production systems; deep statistics/ML expertise; production ML lifecycle experience (feature engineering, model serving, monitoring); strong software skills in Python, SQL, Java/Scala; excellent communication.
Senior Machine Learning Engineer, Model Serving Infrastructure (Multiple Positions)
San Jose, California, United States
$265k-$388k/yrOnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
2+ YOEMaster's (plus 2 years) or Bachelor's (plus 5 years) in a quantitative field; 2+ years coding in Python or C++; Linux development experience; ML, system design, and production deployment experience.
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.
Vantaca: AI software for community association and HOA management.
8+ YOE8+ years in infrastructure/DevOps/SRE; strong cloud expertise; experience with CI/CD, PostgreSQL, Redis, APM, model serving, vector databases, GPU optimization, and LLM deployment.
PostgreSQL, Redis, APM, CI/CD, vector databases, model serving frameworks, LLM
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.
RubrikNYSE: RBRK: Secures enterprise data across cloud and on-premises environments.
2+ YOEBachelor's in a technical field required, 2+ years production ML experience, proficiency in Python and PyTorch, experience training/fine-tuning/distilling language models, serving low-latency models, and building closed-loop data and evaluation pipelines.
Python, PyTorch, vLLM, SGLang, TensorRT-LLM, LoRA, DPO, RLAIF, RLHF, GRPO, FP8, INT8, KV-cache, MCP, LiteLLM, Google ADK, Azure AI Foundry, Vertex AI
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
3+ YOE3+ years supporting live-site production environments, SRE on-call experience, strong Python/Java scripting, Kubernetes and AWS expertise, experience with ML model serving and MLOps frameworks.
Fireworks AI: Provide high-speed inference and infrastructure for generative AI models.
5+ YOE5+ years in customer-facing technical roles building production software; strong Python and Kubernetes skills; experience with LLM inference, model serving, fine-tuning workflows, GPU/cloud deployments, and excellent communication.
GC AI: AI-powered legal platform for in-house legal teams.
5+ YOE5+ years in data engineering/analytics with strong SQL, data modeling, dbt and BI experience; builds dimensional models, KPIs, and self-serve analytics; cross-functional collaboration with Revenue and Finance.
SQL, dbt, Looker, Tableau, Sigma, BigQuery, Snowflake, Python, CRM, Monte Carlo, Great Expectations
NetflixNASDAQ: NFLX: Global video streaming and media production service.
7+ YOE7+ years software engineering; 3+ years ML infrastructure, model serving, or ML platform experience in ads/real-time decisioning; real-time model serving with sub-20ms latency; proficiency in Java, Python, or Scala; experience with ML serving frameworks and real-time feature pipelines; strong model monitoring and production readiness.
Java, Python, Scala, ML serving frameworks, feature stores, model registries
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.