Staff Research Engineer, Anthropic
Discovery Team
$340-425k
More information about location
1+ day a week in office
AI safety and research company
Open for applications
AI safety and research company
1001+ employees
Open for applications
$340-425k
More information about location
1+ day a week in office
1001+ employees
Company mission
To create reliable, interpretable, and steerable AI systems.
Role
Who you are
- 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
- 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
- Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
Desirable
- 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
What the job involves
- As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI
- Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity
- 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
Our take
Funded by Google and founded by ex-OpenAI employees, Anthropic is an AI company focused on building a reliable, innovative AI system. While the company is relatively new to the market it has already launched a highly anticipated AI chat assistant called Claude which is set to rival OpenAI's ChatGPT.
Similar to other chatbots, Claude is accessible through a chat interface and can provide a number of conversation and text-processing tasks. A key point of differentiation is that Claude is designed to produce less harmful outputs than that of the other chatbots that came before it.
While there is much praise for the chat assistant, there is still room for improvement with feedback reporting that Claude is worse at maths and grammar compared to its rival. However, with industry giants like Google backing this company from an early stage, it is clear Anthropic has the potential to become a leading player within the AI industry.
Freddie
Company Specialist at Welcome to the Jungle
Insights
190% employee growth in 12 months
Glassdoor (4.3)
Trustpilot (1.5)
Company
Funding (last 2 of 12 rounds)
Mar 2025
$3.5bn
SERIES E
Jan 2025
$1bn
GROWTH EQUITY VC
Total funding: $16.3bn
Company benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- Generous subsidy for OneMedical
- 21 weeks of paid parental leave
- Unlimited PTO
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant
- 401(k) plan with 4% matching
- $500/month flexible wellness stipend
- Commuter coverage
- Annual education stipend
- A home office improvement stipend when you first join
- Relocation support for those moving to the Bay Area
Company HQ
SoMa, San Francisco, CA
Leadership
Dario Amodei
(CEO & Co-Founder)Spent almost 5 years at OpenAI as a Team Lead for AI safety and as the Vice President of Research. Also worked as a Research Scientist at Google.
Jared Kaplan
(Chief Science Officer & Co-Founder)Has been a Professor at John Hopkins University for the past 10 years. Also an experienced researcher having worked previously at OpenAI and the SLAC National Accelerator Laboratory.
Jack Clark
(Co-Founder)Experienced reporter having worked previously at the Register and Bloomberg. Also worked for OpenAI in Strategy and Communications and as a Policy Director.
Sam McCandlish
(Co-Founder)Graduated from Stanford University with a PhD in Theoretical Physics. Previously worked as a Research Lead at OpenAI.
Tom Brown
(Co-Founder)Previously worked as a Member of the Technical Staff for both OpenAI and Google Brain.
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