Research Engineer: Scalable, Safe ML Systems

JRNLClub; New York (NY); Hybrid; USD 350,000 - 500,000; Full time

Benefits offered by this job

Competitive compensation

Equity options

Generous vacation

Parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking a Research Engineer/Research Scientist to help build large-scale ML systems and contribute to cutting-edge research in a collaborative setting. You will touch code, improve our infrastructure, run experiments, and help scale experiments across teams.

We value safety, steerable AI, and responsible research. This evergreen role welcomes motivated researchers and engineers who want to advance trustworthy AI and its societal impact while enjoying a flexible hybrid work

Qualifications

• Significant software engineering experience.
• Bachelor’s degree or equivalent in a relevant field.
• Interest in machine learning research and its societal impact.
• Ability to work across teams and contribute to interdisciplinary projects.
• Willingness to learn and adapt in a fast-paced environment.

Responsibilities

• Build large-scale ML systems and improve throughput.
• Run and design scientific experiments to validate research ideas.
• Improve dev tooling and infrastructure for research workflows.
• Collaborate with researchers, engineers, policy experts, and product teams.
• Contribute to code quality, scaling, and reliability across the stack.

Skills

Software engineering

Results oriented

Pair programming

ML research interest

Societal impact awareness

Kubernetes

PyTorch

Transformers

OS internals

Education

Bachelor's degree

Tools

Kubernetes

PyTorch

Transformers

OS internals

Job description

Anthropic is seeking a Research Engineer/Research Scientist to help build large-scale ML systems and contribute to cutting-edge research in a collaborative setting. You will touch code, improve our infrastructure, run experiments, and help scale experiments across teams.

We value safety, steerable AI, and responsible research. This evergreen role welcomes motivated researchers and engineers who want to advance trustworthy AI and its societal impact while enjoying a flexible hybrid work