Senior Machine Learning Engineer, Inference

Join a high-performing engineering team developing advanced real-time voice and large language model (LLM) technology. As a Senior Machine Learning Engineer, you will own inference optimization from research through production deployment, helping bring sophisticated models to consumer-scale applications. You will tackle complex challenges involving latency, throughput, GPU efficiency, and distributed serving infrastructure. Working directly with modern inference engines, you will apply cutting-edge acceleration techniques to improve performance and scalability. You will collaborate closely with research and product teams to turn innovative models into reliable production systems. This is an opportunity to make a significant technical impact on AI products serving hundreds of millions of users.

The ideal candidate is a senior-level machine learning inference or systems engineer with strong hands-on experience optimizing production inference engines and building scalable GPU infrastructure. You should bring:

• At least 5 years of experience in ML inference or systems engineering, at a senior level equivalent to Google L5 or Meta E5.

• Practical experience optimizing inference engines such as vLLM or TRT-LLM at the engine level, beyond basic model deployment.

• A proven background in developing backend and machine learning systems and serving models in production.

• Strong systems programming and GPU optimization skills using C++, CUDA, Rust, or optimized Python.

• Hands-on knowledge of model acceleration techniques, including quantization, distillation, speculative decoding, caching, continuous batching, and paged attention.

• Experience with distributed systems, Kubernetes, Ray, load balancing, multi-GPU and multi-node inference, and high-concurrency environments.

• Excellent English communication skills.

• Residence in the United States, Canada, the United Kingdom, Germany, Switzerland, or Serbia.

Additional advantages include a track record of rapid career progression, contributions to open-source inference engines or technical publications, and a PhD in Computer Science, Physics, or Mathematics, or a degree from a leading computer science program. The ability to commute to Mountain View, California, is also a plus.