# Staff Research Engineer, Discovery Team

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** AI Research
**Salary:** $350k – $850k/yr
**Experience:** 8+ years
**Skills:** PyTorch, Transformers, Distributed Training, Kubernetes, Docker, Performance Optimization, Reinforcement Learning, Language Models, Inference Optimization, Data Pipelines
**Posted:** 2026-02-12

> Research Engineer works end-to-end to remove bottlenecks toward scientific AGI, focusing on long-horizon reasoning, computer use, and model capabilities. Requires 8+ years ML experience, expertise in language model pipelines, distributed systems, and collaborative problem-solving.

## Job Description

## About the Team

Our team is focused on building an AI scientist capable of solving long-term reasoning challenges and pushing the scientific frontier. We're currently improving models' abilities to use computers as a laboratory for long-horizon tasks and scientific workflows.

## About the Role

As a Research Engineer, you will work end-to-end to identify and address key blockers on the path to scientific AGI. Strong candidates have familiarity with language model training, evaluation, and inference, and enjoy collaborative problem-solving.

## Responsibilities

- Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
- Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
- Scaling research ideas from prototype to production
- Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
- Implement distributed training systems and performance optimizations to support large-scale model development

## You may be a good fit if you

- Have 8+ years of ML research experience
- Are familiar with large scale language model training, evaluation, and inference pipelines
- Enjoy obsessively iterating on immediate blockers towards long-term goals
- Thrive working collaboratively to solve problems
- Have expertise in performance optimization and distributed computing systems
- Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
- Can translate research concepts into scalable engineering solutions
- Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

## Strong candidates may also have

- Expertise with performance optimization for language model inference and training
- Experience with computer use automation and agentic AI systems
- A history working on reinforcement learning approaches for complex task completion
- Knowledge of containerization technologies (**Docker**, **Kubernetes**) and cloud deployment at scale
- Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing)
- Experience with VM/sandboxing/container deployment and large-scale data processing
- Experience working with large scale data problem solving and infrastructure
- Published research or practical experience in scientific AI applications or long-horizon reasoning

## Logistics

**Education requirements:** At least a Bachelor's degree in a related field or equivalent experience.

**Location-based hybrid policy:** Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.

## Similar roles

- [Staff Research Engineer, Voice](https://hotfix.jobs/jobs/333b6bb1-2279-47df-8072-7601832f5af5) - Decagon - San Francisco, CA - $350k – $475k/yr
- [Principle Engineer -In Bayesian, Large Foundational Systems, and Distributional Reinforcement Learning](https://hotfix.jobs/jobs/7bbcdb66-7e43-4c7f-bf89-701caff340ac) - Airbnb - Remote - $296k – $370k/yr
- [Staff Applied Scientist - Agentic Interfaces](https://hotfix.jobs/jobs/f425c354-4760-4f99-ae23-468c301f9deb) - Datadog - New York, NY - $276k – $345k/yr
- [Staff Machine Learning Research Scientist/ Engineer, Agents](https://hotfix.jobs/jobs/e8519c84-1196-4e69-8707-4f0750195d56) - Scale AI - San Francisco, CA - $275k – $350k/yr
- [Sr. Staff AI Research TLM - AI Systems](https://hotfix.jobs/jobs/667b7fba-af64-4077-8108-7330963c36ac) - Databricks - Mountain View, CA - $270k – $340k/yr

**Apply:** https://hotfix.jobs/jobs/e2f40762-b9ca-4028-ad79-be34ccf2d395
**Canonical:** https://hotfix.jobs/jobs/e2f40762-b9ca-4028-ad79-be34ccf2d395