94 model serving engineer jobs at 82 companies in United States
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Model Serving Engineer
United States
$74k-$98k/yrRemoteFull Time
Bright Vision Technologies: AI-powered enterprise automation and software development firm.
6+ YOEBachelor's or Master's in Computer Science or related field; 6+ years distributed systems or ML platform engineering; Python and Go/Rust/C++; vLLM or TensorRT-LLM; Kubernetes; observability; GPU architecture; U.S. work authorization without new H-1B sponsorship.
MicrosoftNASDAQ: MSFT: Multinational technology providing software, cloud, and AI solutions.
5+ YOEBachelor's in Computer Science or related field and 5+ years engineering experience with Python, C++, or similar; experience with LLM inference/serving systems (vLLM, SGLang, TensorRT-LLM); strong systems and debugging skills; distributed serving concepts.
Elorian: AI research lab building multimodal visual-reasoning models for machines, robotics teams, engineers, and scientific organizations.
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.
BitdeerThe Nasdaq Stock Market LLC: BTDR: Public Singaporean Bitcoin mining and AI cloud infrastructure serving enterprises with computing, datacenters, and mining solutions.
5+ YOE5-8 years in customer-facing technical role; solid knowledge of LLM inference and model serving; exceptional presentation and communication skills; Bachelor's in Computer Science or Engineering; willingness to travel.
Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving
United States
$890k-$1690k/yrRemoteFull Time
NetflixNASDAQ: NFLX: Global subscription-based streaming entertainment service and content producer.
12+ YOEBS/MS/PhD in Computer Science or related field; 12+ years experience in AI/ML infrastructure and distributed systems; expertise in model serving, GPU optimization, Kubernetes, and public cloud (AWS, Azure, GCP).
Cursor: AI coding software building a coding agent for developers and engineering teams.
Exceptional engineering track record; experience building evaluation, measurement, or model serving systems; fluency with data; strong taste and curiosity about model behavior.
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
15+ YOEMS or PhD in Computer Science, Machine Learning, or related field; 15+ years building large-scale ML or distributed systems; deep expertise in foundation model inference engines; proficiency with JAX, PyTorch, and inference/serving stacks; experience leading engineers and partnering with ML researchers.
Dexmate: Robotics and AI building dexterous mobile humanoid robots for industrial automation.
5+ YOERequires 5+ years in software, data or ML infrastructure, or distributed systems; experience with data pipelines, distributed computing, model serving, cloud infrastructure, containers, orchestration, and ML workflows.
OpenAI: AI research and deployment focused on beneficial AGI.
Strong systems programming in C++, Rust, or Python; experience with runtimes, distributed systems, compilers, kernels, or serving infrastructure; knowledge of LLM inference and hardware-software performance optimization.
Abnormal Security: AI-native cybersecurity SaaS platform that protects enterprise email, identities, and cloud applications from socially engineered attacks.
5+ YOE5+ years software engineering experience with ML-focused solutions; experience with large-scale distributed systems on AWS, GCP, or Azure; real-time data pipelines; collaboration with cross-functional teams; machine learning workflows and feature serving at 50K+ QPS.
Fundamental: AI serving enterprises and governments with foundation models for tabular data prediction.
5+ YOE5+ years MLOps/DevOps experience, degree in CS/Engineering or equivalent, experience with model serving, Kubernetes, cloud providers, IaC, Python/Bash/Go, and observability tools.
Senior Machine Learning Platform Engineer — Model Hosting & MLOps
Spring or Tlaquepaque
$147k-$231k/yrOnsiteFull Time
HP Inc.NYSE: HPQ: Global leader in personal computing, printing, and technology solutions.
Hands-on experience hosting LLM inference on GPU infrastructure, building model-serving platforms, strong Python skills, infrastructure as code (Terraform), Kubernetes, and MLOps pipelines across AWS and Azure.
Sequen AI: AI personalization and ranking platform serving enterprise consumer companies with dynamic search, recommendations, and discovery.
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.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
16+ YOE7+ MgmtRequires 16+ years in technical roles, 7–10+ years of leadership, and BS/MS or equivalent experience in systems or software engineering. Expertise in AI infrastructure, distributed systems, GPU architecture, CUDA, kernels, and cloud-native model serving.
CUDA, Dynamo, TensorRT-LLM, vLLM, SGLang, Linux, Kubernetes, Ray
Seekr Technologies: Private American enterprise AI providing explainable, secure AI software and hardware to government and critical-infrastructure customers.
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.
FriendliAI: Private AI inference platform for enterprises deploying, scaling, and monitoring large language and multimodal models.
3+ YOE3+ years in cloud infrastructure, DevOps, or reliability engineering; Bachelor's or Master's in CS/CE/EE or equivalent; proficiency with Kubernetes, Docker, Terraform, Helm; experience with GPU computing and AI model serving; strong distributed systems and networking knowledge.
Carolina Handling: Private Southeast U.S. intralogistics solutions provider and exclusive Raymond support center serving manufacturers, warehouses, and distribution centers.
Requires strong work ethic, team mindset, coachability, problem-solving, decision-making, relationship building, and ability to serve as a role model. Must handle medium work, lift up to 50 lbs, travel daily to customer sites, and use standard office equipment.
Sprinter Health: Private mobile healthcare provider delivering in-home diagnostics and preventive care to patients through nurses and virtual clinicians.
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.
Crossmint: Private stablecoin and wallet infrastructure platform for fintechs, enterprises, and AI-agent platforms.
5+ YOE5+ years building production systems, including 3+ years in fraud, risk, or trust and safety; production rules or model-serving ownership; programming, SQL, fraud metrics, and AI tool expertise; bachelor's degree or equivalent.