Performance Engineer
Job in
York and North Yorkshire, York, North Yorkshire, YO1, England, UK
Listed on 2026-10-26
Listing for:
Anthropic
Full Time
position Listed on 2026-10-26
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
- Running machine learning (ML) algorithms at our scale often requires solving novel systems problems
- As a Performance Engineer, you’ll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems
- Implement low-latency high-throughput sampling for large language models
- Implement GPU kernels to adapt our models to low-precision inference
- Write a custom load-balancing algorithm to optimize serving efficiency
- Build quantitative models of system performance
- Design and implement a fault-tolerant distributed system running with a complex network topology
- Debug kernel-level network latency spikes in a containerized environment
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office
Want to learn more about machine learning research
Have significant software engineering or machine learning experience, particularly at supercomputing scale
Care about the societal impacts of your work
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)High performance, large-scale ML systems GPU/Accelerator programming OS internals ML framework internals
Language modeling with transformers
Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also
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