Skip to main content

Research Engineer/Research Scientist, Pre-training

Anthropic
Hybrid - San Francisco, Seattle, or New York City, at least 25% in officeUpdated 30d ago
Compensation
$350k–$850k
Published range · Top quartile for Engineering (741 listings)
Location
Hybrid - San Francisco, Seattle, or New York City, at least 25% in office
Remote eligibility
Employment
Full-time
Mid-level
Role family
Engineering
AI / ML
Apply on job-boards.greenhouse.io
Job actionsApply now
Job actionsApply now

About the job

About Anthropic

Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems. We work as a single cohesive team on large-scale research efforts to ensure AI is safe and beneficial.

Role Overview

We are seeking a Research Engineer/Research Scientist to join our Pre-training team, responsible for developing the next generation of large language models. This role sits at the intersection of cutting-edge research and practical engineering.

Key Responsibilities

  • Conduct research and implement solutions in model architecture, algorithms, data processing, and optimizer development
  • Independently lead small research projects while collaborating on larger initiatives
  • Design, run, and analyze scientific experiments to advance understanding of large language models
  • Optimize and scale training infrastructure for efficiency and reliability
  • Develop and improve dev tooling to enhance team productivity
  • Contribute to the entire stack, from low-level optimizations to high-level model design

Qualifications

  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field
  • Strong software engineering skills with a track record of building complex systems
  • Expertise in Python and deep learning frameworks (PyTorch preferred)
  • Familiarity with large-scale machine learning, particularly language models
  • Ability to balance research goals with practical engineering constraints
  • Excellent communication and collaboration skills

Preferred Experience

  • High-performance, large-scale ML systems
  • GPUs, Kubernetes, and OS internals
  • Language modeling with transformer architectures
  • Reinforcement learning techniques
  • Large-scale ETL processes

Compensation

Annual Salary: $350,000—$850,000 USD

Benefits

We offer competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space.

Application Instructions

Apply via the Greenhouse link. Anthropic sponsors visas and encourages applications from all backgrounds.

Skills & tags

What you can verify before applying

Compare the essentials before you leave: pay, remote scope, employment type, source, and the employer apply destination.