40 model serving engineer jobs at 34 companies in San Jose, CA
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Inference Infrastructure Engineer, Serving
Palo Alto, California, United States
$275k-$475k/yrOnsiteFull Time
Elorian AI: AI lab building multimodal models for advanced visual reasoning.
3+ YOE3+ years building low-latency, high-throughput inference serving systems; knowledge of quantization, batching, speculative decoding, KV cache; experience with vLLM/TensorRT-LLM/Triton/SGLang; multi-GPU model parallelism; C++/CUDA/Python; autoscaling and GPU cost optimization.
5+ YOEBachelor's in CS/EE/CE or equivalent,5+ years in performance modeling/engineering or architecture,proficiency with C++ or Python,experience with ML serving and hardware/software co-design preferred.
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.
Distributed Systems Engineer 5 - Core Ad Serving Platform
New York City or Seattle or Los Angeles or Los Gatos
$388k-$619k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
7+ YOE7+ years experience with at least 4+ years in Ads domain, expertise building and operating large-scale distributed systems, ad-server components, API and data model design, SLO-driven development, and incident response.
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
Fireworks AI: Provides high-performance generative AI model inference and deployment infrastructure.
5+ YOE5+ years in customer-facing technical engineering roles, strong Python and Kubernetes skills, experience with LLM inference, model serving and fine-tuning, cloud GPU deployment across major clouds, and exceptional communication.
Python, Kubernetes, vLLM, SGLang, TensorRT-LLM, AWS, Microsoft Azure, GCP, Azure AI Foundry, AWS Bedrock, SageMaker, GCP Vertex
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
Sprinter Health: Mobile provider of in-home diagnostic and preventive healthcare services.
8+ YOE8+ years building production ML systems and infrastructure; experience with training/serving pipelines, feature pipelines, monitoring, deployment, cloud, containers, CI/CD, and model governance.
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
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.
Software Development Engineer II (Planning and Forecasting)
Palo Alto, California, United States
$162k-$182k/yrOnsiteFull Time
Quince: Sells high-quality apparel and home goods at accessible prices.
2+ YOE2-4 years production software engineering experience; strong fundamentals in data structures and algorithms; experience with data pipelines, APIs, and model-serving; AI-native engineering practice; Bachelor's in CS/Engineering or equivalent experience.
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