Research Engineer, Large-Scale ML Systems (Hybrid)

Anthropic; San Francisco (CA); Hybrid; USD 350,000 - 500,000; Full time

Benefits offered by this job

Competitive compensation

Generous vacation

Parental leave

Flexible working hours

Office collaboration space

Job summary

Anthropic is looking for a Research Engineer to design and improve large-scale ML systems. This role involves enhancing infrastructure and running scientific experiments, requiring significant software engineering experience. Ideal candidates will have a Bachelor’s degree and relevant experience. The annual salary ranges from $350,000 to $500,000 USD. Benefits include flexible working hours and competitive compensation. The position is based in San Francisco, requiring hybrid work attendance.

Qualifications

• Significant software engineering experience.
• Minimum education of Bachelor's degree or equivalent.
• Experience relevant to the role through coursework or training.

Responsibilities

• Build large scale ML systems from the ground up.
• Make the cluster more reliable for big jobs.
• Run and design scientific experiments.
• Improve dev tooling.

Skills

Software engineering experience

Results-oriented mindset

Flexibility

Pair programming

Interest in machine learning research

Concern for societal impacts

Education

Bachelor’s degree or equivalent

Tools

GPUs

Kubernetes

Pytorch

OS internals

Language modeling with transformers

Reinforcement learning

Large-scale ETL

Job description

Anthropic is looking for a Research Engineer to design and improve large-scale ML systems. This role involves enhancing infrastructure and running scientific experiments, requiring significant software engineering experience. Ideal candidates will have a Bachelor’s degree and relevant experience. The annual salary ranges from $350,000 to $500,000 USD. Benefits include flexible working hours and competitive compensation. The position is based in San Francisco, requiring hybrid work attendance.