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Senior Machine Learning Engineer, Inference

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Senior Machine Learning Engineer, Inference in USA new

  • Inworld
  • Full time
  • Email
  • Mountain View, CA

Responsibilities

  • Optimize realtime machine learning inference using modern serving frameworks and model-acceleration techniques.
  • Profile and improve high-performance inference systems running on NVIDIA GPUs.
  • Build distributed, multi-GPU and multi-node serving infrastructure capable of handling thousands of concurrent connections.
  • Use Kubernetes, Ray, and custom load balancing to scale and operate inference workloads reliably.
  • Take models from research through containerization, serving optimization, and stable production deployment.
  • Own ambiguous performance, latency, throughput, and reliability problems from investigation through implementation.

Requirements

  • Deep understanding of inference-serving frameworks and techniques such as vLLM or TRT-LLM.
  • Hands-on experience with quantization, distillation, caching strategies, continuous batching, paged attention, and speculative decoding.
  • Proficiency in C++, CUDA, Rust, or highly optimized Python, including the ability to profile and optimize code for NVIDIA GPUs.
  • Experience with Kubernetes, Ray, custom load balancing, multi-GPU or multi-node inference, and high-concurrency systems.
  • Non-trivial systems programming projects, major inference-engine open-source contributions, or deep-dive technical write-ups.
  • PhD in computer science, physics, or mathematics, or equivalent practical experience building backend or machine learning systems.
  • Ability to work independently in ambiguous environments and take systems from research through reliable production operation.

Benefits

  • Full-time position with a base salary of $250,000-$300,000 plus bonus, equity, and benefits.
  • Relocation assistance is offered.
  • In-person work in the Mountain View office.

Salary: $250k - $300k/yr

Inworld

Inworld builds real-time voice AI and agent infrastructure for developers, including text-to-speech, speech-to-speech, speech recognition, and LLM routing delivered via APIs and SDKs. Customers use it to create interactive characters and agentic experiences in games, apps, and virtual worlds; rev...

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