Staff Engineer - ML Inference & Model Efficiency

Cohere; San Francisco (CA); Remote; Full time

Benefits offered by this job

Inclusive work culture

Weekly lunch stipend

Full health and dental benefits

Mental health budget

Parental leave top-up

Personal enrichment benefits

6 weeks of vacation

Job summary

A leading AI research firm in San Francisco is seeking a Member of Technical Staff specialized in Model Efficiency. In this role, you will enhance LLM inference systems by tackling performance issues and collaborating with cross-functional teams. Ideal candidates have over 5 years of coding experience in C++ or Python and a solid understanding of the LLM inference environment. This position offers a remote-friendly work model, a competitive salary, and extensive benefits including a generous vacation policy.

Qualifications

• 5+ years of experience writing high-performance, production-quality code.
• Strong programming skills in languages such as C++ or Python.
• Ability to diagnose and resolve performance bottlenecks.

Responsibilities

• Work across the inference stack to improve performance metrics.
• Identify bottlenecks and develop optimizations.
• Collaborate closely with modeling and systems teams.

Skills

High-performance coding

C++ programming

Python programming

LLM inference knowledge

Diagnosing performance bottlenecks

Fast shipping and iteration

Tools

CUDA programming

Distributed systems

Job description

A leading AI research firm in San Francisco is seeking a Member of Technical Staff specialized in Model Efficiency. In this role, you will enhance LLM inference systems by tackling performance issues and collaborating with cross-functional teams. Ideal candidates have over 5 years of coding experience in C++ or Python and a solid understanding of the LLM inference environment. This position offers a remote-friendly work model, a competitive salary, and extensive benefits including a generous vacation policy.