ML Systems Engineer
San Francisco HQ
Genmo, Inc.
Genmo is a frontier AI lab developing the best open video generation models. Create any video, possible or impossible, using Mochi 1.We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.
The Role
You'll own our model serving layer, implementing high-performance inference systems that can handle millions of requests daily. You'll work at the intersection of ML frameworks and cloud infrastructure, building automated pipelines for model optimization and deployment. Your work will directly impact the performance and scalability of our video generation models, ensuring sub-second latency at global scale.
Key Responsibilities
Design and implement high-performance model serving infrastructure supporting streaming, batching, and multi-modal inputs
Build automated model compilation and optimization pipelines using TensorRT, torch.compile, and other compilers
Optimize serving systems for throughput, latency, and GPU utilization across our H100 fleet
Develop monitoring and observability for model-specific metrics (quality, latency, throughput)
Collaborate with researchers to transition models from development to production
Implement A/B testing, canary deployments, and gradual rollout strategies for models
Integrate serving layer with platform infrastructure (load balancers, API gateways, queue systems)
Qualifications
Bachelor's or Master's degree in Computer Science or related field
4+ years ML engineering experience with 2+ years focused on model serving
Production experience with high-performance model serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar)
Strong Python proficiency and PyTorch experience
Experience with model compilation and optimization (TensorRT, ONNX, quantization)
Track record of building inference systems at scale (10K+ QPS)
Understanding of attention mechanisms and transformer architectures
Experience with containerized deployment and orchestration
We Value
Contributions to open-source serving frameworks
Experience with continuous batching and advanced serving optimizations
Knowledge of GPU architecture and memory management
Background at companies with large-scale ML serving
Experience with streaming/iterative generation patterns
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing AGI APIs Architecture Computer Science Engineering GPU LLMs Machine Learning ONNX Open Source Pipelines Python PyTorch Research Streaming TensorRT Testing vLLM
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