Performance Engineer
Posted on 9/20/2023
INACTIVE
Anthropic

201-500 employees

AI research firm creating reliable, interpretable systems
Company Overview
Anthropic stands out as a leader in the AI research industry, with a focus on creating reliable, interpretable, and steerable AI systems, demonstrated by their first product, Claude, an AI assistant designed for tasks of any scale. The company's diverse and interdisciplinary team, with expertise in ML, physics, policy, and product, fosters a collaborative culture that drives the development of beneficial AI systems. Their broad research interests, encompassing areas such as natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability, position them at the forefront of technical innovation in AI.
AI & Machine Learning
Consulting
B2B

Company Stage

Series B

Total Funding

$3B

Founded

2021

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

112%

1 year growth

300%

2 year growth

1007%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
CategoriesNew
AI & Machine Learning
Requirements
  • Significant software engineering or machine learning experience at supercomputing scale
  • 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 to optimize serving efficiency
  • Building quantitative models of system performance
  • Designing and implementing fault-tolerant distributed systems
  • Debugging kernel-level network latency spikes in a containerized environment
Desired Qualifications
  • Pair programming experience
  • Interest in machine learning research
  • Care about societal impacts of work