Research Engineer / Scientist, Pre-training

Anthropic; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

Anthropic is seeking a Research Engineer to join the Pre-training team, developing the next generation of large language models. You will work at the intersection of cutting-edge research and practical engineering to build safe, steerable AI systems.

You will conduct experiments, optimize training pipelines, contribute to model architecture, and collaborate across research, engineering, and policy teams to advance scalable and reliable AI.

Qualifications

• MS or PhD in CS, ML, or related field.
• Strong software engineering with track record of building complex systems.
• Expertise in Python and deep learning frameworks (PyTorch preferred).
• Experience with large-scale ML, especially language models.
• Ability to balance research goals with engineering constraints.
• Excellent communication and collaboration.

Responsibilities

• Conduct research and implement solutions in model architecture, algorithms, data processing, and optimizer development
• Lead small research projects independently and collaborate on larger initiatives
• Design, run, and analyze experiments to advance our understanding of large language models
• Optimize and scale training infrastructure to improve 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

Skills

Python

PyTorch

Software engineering

LLM knowledge

Problem solving

Communication

Education

MS or PhD in CS/ML

Tools

Docker

Kubernetes

GPUs

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Key Responsibilities

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development


• Independently lead small research projects while collaborating with team members on larger initiatives


• Design, run, and analyze scientific experiments to advance our understanding of large language models


• Optimize and scale our training infrastructure to improve 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 a related field


• Strong software engineering skills with a proven track record of building complex systems


• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)


• Familiarity with large-scale machine learning, particularly in the context of language models


• Ability to balance research goals with practical engineering constraints


• Strong problem-solving skills and a results-oriented mindset


• Excellent communication skills and ability to work in a collaborative environment


• Care about the societal impacts of your work

Preferred Experience

• Work on high-performance, large-scale ML systems


• Familiarity with GPUs, Kubernetes, and OS internals


• Experience with language modeling using transformer architectures


• Knowledge of reinforcement learning techniques


• Background in large-scale ETL processes

You’ll thrive in this role if you

• Have significant software engineering experience


• Are results-oriented with a bias towards flexibility and impact


• Willingly take on tasks outside your job description to support the team


• Enjoy pair programming and collaborative work


• Are eager to learn more about machine learning research


• Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects


• Are working to align state of the art models with human values and preferences, understand and interpret deep