Research Engineer
Product
Updated on 2/15/2024
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
Kubernetes
Pytorch
CategoriesNew
AI & Machine Learning
Requirements
  • Extensive software engineering experience
  • Experience with high performance, large-scale ML systems
  • Experience with GPUs, kubernetes, pytorch, OS internals
  • Experience with language modeling with transformers
  • Experience with reinforcement learning
  • Experience with large-scale ETL
Responsibilities
  • Using Constitutional AI to improve AI safety, reliability, and performance in deployment
  • Profiling and improving the compute efficiency of various RL implementations
  • Designing and managing untrusted execution environments
  • Scaling a distributed training job to thousands of GPUs
  • Creating a dashboard of evaluations for a variety of AI models and deploying it to customers
Desired Qualifications
  • Enjoy pair programming
  • Want to learn more about machine learning research
  • Care about the societal impacts and long-term implications of your work