
Posted 17 hours ago
Senior/Lead Machine Learning Engineer, Serving
InworldSenior/Lead Machine Learning Engineer, Serving
Requirements
Inference optimization (vLLM, TRT-LLM), Model acceleration (quantization, distillation), Proficiency in C++, CUDA, Rust, or optimized Python, Distributed systems (Kubernetes, Ray), PhD in CS, Physics, Math or equivalent experience, English fluency
Skills
PythonCUDAKubernetesC#MLOps
About the role
About the Company
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. Their technology powers experiences for companies like NVIDIA, Microsoft Xbox, and Niantic, serving hundreds of millions of end users across various AI applications.
Responsibilities
- Take models from research teams, containerize them, and optimize serving for production
- Optimize realtime inference and ensure high reliability and low latency
- Design benchmarks and prototypes to solve unclear technical problems
- Own the full cycle of model deployment and performance optimization
Requirements
- Deep understanding of serving frameworks like vLLM or TRT-LLM
- Experience with model acceleration techniques including quantization, distillation, and speculative decoding
- Proficiency in C++, CUDA, Rust, or highly optimized Python
- Experience with distributed systems, Kubernetes, Ray, and multi-GPU/multi-node inference
- PhD in CS, Physics, Math, or equivalent practical experience in ML systems
- Professional fluency in English
Preferred Qualifications
- Non-trivial systems programming projects or open-source contributions to inference engines
- Deep technical write-ups on systems or ML performance
- Experience handling thousands of concurrent connections in production environments
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Inworld · Germany
