Distributed LLM Inference Engineer

Anyscale

Distributed LLM Inference Engineer optimizing ML inference systems for large scale at Anyscale. Collaborating with product teams to ship solutions for Batch and Online inference.

Posted 5/5/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $170,112 - $247,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsOpen SourcePyTorchRayTensorflow

About the role

Key responsibilities & impact

Iterate very quickly with product teams to ship the end to end solutions for Batch and Online inference at high scale which will be used by open-source Ray users and customers of Anyscale
Work across the stack integrating Ray Data and LLM engine providing optimizations achieving low cost solutions for large scale ML inference
Integrate with Open source software like vLLM, work closely with the community to adopt these techniques in Anyscale solutions, and also contribute improvements to open source
Follow the latest state-of-the-art in the open source and the research community, implementing and extending best practices

Requirements

What you’ll need

Familiarity with running ML inference at large scale with high throughput and low latency
Familiarity with deep learning and deep learning frameworks (e.g. PyTorch)
Solid understanding of distributed systems, ML inference challenges
ML Systems knowledge (Bonus)
Experience using Ray (Bonus)
Work closely with community on LLM engines like vLLM, TensorRT-LLM (Bonus)
Contributions to deep learning frameworks (PyTorch, TensorFlow) (Bonus)
Contributions to deep learning compilers (Triton, TVM, MLIR) (Bonus)
Prior experience working on GPUs / CUDA (Bonus)

Benefits

Comp & perks

Stock Options
Healthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents
401k Retirement Plan
Education & Wellbeing Stipend
Paid Parental Leave
Fertility Benefits
Paid Time Off
Commute reimbursement
100% of in-office meals covered

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ML inferencedeep learningPyTorchdistributed systemsRayTensorRT-LLMTensorFlowTritonTVMMLIR

Soft Skills

collaborationcommunity engagementadaptabilityproblem-solving