Joblaze summary

In the role of Staff Research Engineer on the Discovery Team at Anthropic, the individual will focus on identifying and resolving key obstacles in the pursuit of scientific AGI, working across the entire model stack. Essential skills include expertise in language model training, performance optimization, and distributed systems, along with a collaborative mindset for tackling complex problems. This position is ideal for seasoned professionals with over eight years of machine learning research experience, particularly those who have a track record of developing scalable solutions for intricate reasoning challenges. Anthropic emphasizes a cohesive team approach, aiming for impactful AI researc

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Anthropic's careers page November 7, 2026.
Salary band is above the typical range for AI/ML roles (median ~$190,000).
Starts above 86% of 51 comparable staff ai/ml roles in United States that list AI/ML we track (median $248,000 across 21 companies). See AI/ML salary trends
AI/ML appears in 34.1% of 270 comparable staff ai/ml roles in United States; Docker appears in 4.8% of 270 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Research Engineer, Discovery Team role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA.
What's the salary range?: Anthropic lists $350,000–$850,000 for this role.
How much experience is required?: At least 8 years of relevant experience for this Staff Research Engineer, Discovery Team role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Docker, Kubernetes, cloud deployment, distributed systems, language model.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Research Engineer, Discovery Team role at Anthropic.

From the original posting

About Anthropic

About the Team

Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

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 longterm 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)
Have 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

The annual compensation range for this role is listed below.

Annual Salary:

$350,000—$850,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

Staff Research Engineer, Discovery Team