Performance Engineer at Anthropic

Seattle, Washington, United States

Apply Now

$315,000 – $560,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

Significant software engineering or machine learning experience, particularly at supercomputing scale
Results-oriented, with a bias towards flexibility and impact
Ability to pick up slack and contribute beyond defined job responsibilities
Enjoy pair programming
Interest in learning more about machine learning research
Concern for the societal impacts of AI development

Responsibilities

Identify novel systems problems related to ML algorithm performance
Develop systems to optimize the throughput and robustness of distributed systems
Implement low-latency, high-throughput sampling for large language models
Implement GPU kernels to adapt models for low-precision inference
Write custom load-balancing algorithms to optimize serving efficiency
Build quantitative models of system performance
Design and implement fault-tolerant distributed systems with complex network topologies
Debug kernel-level network latency spikes in a containerized environment

Skills

Distributed Systems

Machine Learning

GPU Programming

Accelerator Programming

ML Frameworks

OS Internals

Transformers

GPU Kernels

Load Balancing

Fault-Tolerant Systems

Low-Precision Inference

Network Topologies

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$11,482.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees