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Full-Time

Performance Engineer

Posted on 4/17/2024

Anthropic

Anthropic

501-1,000 employees

Develops reliable, interpretable AI systems

Consulting
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$280k - $485kAnnually

+ Equity + Relocation Support

Junior, Mid, Senior

San Francisco, CA, USA

Category
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Data Structures & Algorithms
Requirements
  • Significant software engineering or machine learning experience
  • Results-oriented with a bias towards flexibility and impact
  • Experience with high performance, large-scale ML systems
  • GPU/Accelerator programming
  • ML framework internals
  • OS internals
  • Language modeling with transformers
Responsibilities
  • Identifying and solving large-scale systems problems
  • Developing systems to optimize throughput and robustness of distributed systems
  • Implementing low-latency high-throughput sampling for large language models
  • Implementing GPU kernels for low-precision inference
  • Writing custom load-balancing algorithms
  • Building quantitative models of system performance
  • Designing and implementing fault-tolerant distributed systems
  • Debugging kernel-level network latency spikes

Anthropic is at the forefront of building reliable and interpretable AI systems, making it an appealing place to work for those passionate about advancing natural language processing, human feedback, reinforcement learning, and code generation. Employees have the opportunity to engage in cutting-edge research and development, contributing significantly to the field and ensuring AI technologies are both effective and responsible. Working in such an innovative environment encourages professional growth and collaboration among experts in AI research.

Company Stage

Series B

Total Funding

$5.8B

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

121%

1 year growth

299%

2 year growth

1041%
INACTIVE