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Research Engineer, Discovery

AnthropicSan Francisco, CAAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
14 May 2025
Status
Open · checked 7d ago

About this role

The Research Engineer, Discovery role at Anthropic in San Francisco is an on-site position focused on building large-scale infrastructure to support advanced AI models and scientific discovery. This opportunity is ideal for experienced infrastructure engineers who want to tackle complex distributed systems and performance optimization challenges.

Role Overview

As a Research Engineer on the Discovery team, the professional will work across the entire model stack to identify and eliminate infrastructure barriers on the path to scientific AGI. The position involves designing end-to-end systems for language model training, evaluation, and inference. Candidates will collaborate closely with researchers to translate experimental ideas into production-ready infrastructure while rapidly iterating in a fast-paced environment.

Key Responsibilities

Design and build large-scale infrastructure systems to support the training, evaluation, and deployment of AI scientist models across distributed environments.
Identify and resolve infrastructure bottlenecks that hinder progress toward scientific capabilities.
Create robust evaluation frameworks to measure progress toward scientific artificial general intelligence.
Build performant container, VM, and sandboxing architectures to safely execute long-horizon AI tasks and scientific workflows.
Partner with team members to translate experimental needs into reliable production infrastructure.
Develop large-scale data pipelines to support advanced language model training requirements.
Optimize large-scale inference and training pipelines for efficient and stable reinforcement learning.

Requirements

Minimum of six years of highly relevant experience in infrastructure engineering with proven expertise in large-scale distributed systems.
Strong communication skills paired with a collaborative working style.
Deep knowledge of system architectures and performance optimization techniques designed for high-throughput machine learning workloads.
Hands-on experience with containerization tools and orchestration at scale, including Docker and Kubernetes.
Demonstrated track record of building distributed storage systems and large-scale data pipelines.
Exceptional ability to diagnose and resolve complex production infrastructure challenges.
Capability to work across the full machine learning stack, spanning from data pipelines to performance optimization.
Bachelor's degree or an equivalent combination of education, training, and professional experience in a relevant field.
Ability to work from the San Francisco office in accordance with the location-based hybrid policy requiring staff to be on-site at least 25% of the time.

Nice to Have

Experience working with language model training infrastructure and distributed machine learning frameworks such as PyTorch and JAX.
Background in developing infrastructure for large-scale machine learning organizations or AI research labs.
Familiarity with TPU and GPU architectures, alongside language model inference optimization.
Experience utilizing enterprise-scale cloud platforms like AWS and GCP.
Knowledge of container and virtual machine orchestration alongside workflow orchestration tools and experiment management systems.
History of working with large-scale reinforcement learning and large-scale data pipelines including Spark, Beam, and Dask.

Skills and Tools

PyTorch
AWS
GCP
Kubernetes
Docker
Spark
Distributed systems
Containerization

Salary and Benefits

Annual base salary ranging from $350,000 to $850,000 USD.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation time and parental leave.
Flexible working hours and access to a collaborative office space.
Visa sponsorship provided where applicable.

About the Company

Anthropic is a public benefit corporation headquartered in San Francisco with a mission to build reliable, interpretable, and steerable AI systems that are safe and beneficial for society. Operating as a single cohesive team, the organization approaches AI research as an empirical science focusing on large-scale efforts that push the frontiers of artificial intelligence.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application for this position.

Skills and tech stack

PyTorchAWSGCPKubernetesDockerSpark

Questions candidates ask

What is the location of the Research Engineer, Discovery role?

The role is based in San Francisco, CA, with a location-based hybrid policy requiring staff to be in the office at least 25% of the time.

What is the salary range for this position?

The annual salary range for this role is between $350,000 and $850,000 USD.

How many years of experience are required?

Candidates must have at least 6+ years of highly-relevant experience in infrastructure engineering with expertise in large-scale distributed systems.

Does Anthropic offer visa sponsorship for this job?

Yes, Anthropic sponsors visas for this role and retains an immigration lawyer to assist candidates who receive an offer.

What education is required to apply?

A Bachelor's degree or an equivalent combination of education, training, and professional experience in a relevant field is required.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site