111 model serving engineer jobs at 89 companies in United States
🚀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.
Member of Technical Staff — Model Optimization and Inference
Seattle, Washington, United States
$250k-$350k/yrOnsiteFull Time
Nuance Labs: A building photorealistic, real-time AI avatars and full-duplex audiovisual systems.
Deep expertise in LLM and diffusion-model inference optimization, KV cache strategies, quantization (INT8/INT4, GPTQ/AWQ), profiling/benchmarking, and strong Python/PyTorch skills; familiarity with CUDA/Triton and inference-serving frameworks.
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.
RealPage: Provides AI-enabled property management and data analytics software solutions.
5+ YOE5+ years Python/ML engineering experience; NLP and transformer model fine-tuning; production ETL and data pipeline experience; PostgreSQL/SQLAlchemy and pandas/NumPy proficiency; experience serving ML models and mentoring engineers.
RedditNYSE: RDDT: Social platform for community-driven discussion and content sharing.
5+ YOE5+ years building production ML systems (models+pipelines+serving), senior technical leadership, experience shipping NLP/content understanding models, strong software engineering and ML intuition.
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
Distinguished AI Engineer - Onsite in Jersey City, NJ
Jersey City, New Jersey, United States
$140k-$210k/yrOnsiteFull Time
NTT DATA: Global provider of IT and business consulting services.
10+ YOE10+ years in AI/ML systems or platform engineering; deep experience with LLMs, RAG, embeddings, model serving, LLMOps/MLOps, GPU/inference optimization, governance, and stakeholder engagement.
LLMs, LLMOps, MLOps, RAG, embeddings, AI gateways, model-serving, model hubs, agent frameworks, orchestration layers, GPU, evaluation frameworks, observability
Seekr: Transparent AI platform for enterprise and government decision-making.
5+ YOE5–8 years building distributed systems or cloud/platform services; production Kubernetes and ML infra experience; strong software engineering in Python and Go/Rust/C++; familiarity with GPU inference, model serving frameworks, and cloud platforms.
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.
The Hershey CompanyNYSE: HSY: Produces and sells chocolate, sweets, and snack foods globally.
5+ YOEBuild and operate MLOps platform on Azure and Databricks; strong Python and SQL; experience with MLflow, model serving, CI/CD, IaC (Terraform/Bicep), Docker/Kubernetes; 5+ years engineering experience with 3+ years on ML pipelines.
Distributed Systems Engineer 5 - Decisioning & Optimization
New York or Los Angeles or Los Gatos or Seattle
$388k-$619k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Global video streaming and media production service.
7+ YOE7+ years building distributed systems; ads domain experience; ML model serving; backend APIs and ad tech systems; low-latency serving; collaboration across teams.
ML model serving, real-time inference, APIs, ad servers, bidders, pacing, routing, calibration serving
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
LiveView Technologies: Provides mobile, solar-powered security units with AI-driven surveillance software.
8+ YOE8+ years in ML-infrastructure/MLOps building and operating model deployment, serving, CI/CD, monitoring, and LLM/VLM ops; strong API design and technical leadership; BS/MS in CS/Engineering or equivalent experience.