Research Engineer, Anthropic
Horizons
£250-340k
More information about location
AI safety and research company
Job no longer available
AI safety and research company
1001+ employees
Job no longer available
£250-340k
More information about location
1001+ employees
Company mission
To create reliable, interpretable, and steerable AI systems.
Role
Who you are
- 5+ years of industry-related experience
- Are proficient in Python and have experience with deep learning frameworks such as PyTorch or Jax
- Have a strong software engineering background and are interested in working closely with researchers and other engineers
- Enjoy pair programming (we love to pair!)
- Care about code quality, testing, and performance
- Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
- Candidates need not have:
- Formal certifications or education credentials
- Experience with LLMs or machine learning research before
Desirable
- Have a strong background in machine learning, reinforcement learning, or high performance computing
- Have experience with virtualization and sandboxed code execution environments
- Have experience with Kubernetes
- Have contributed to open-source projects or published research papers in relevant fields
What the job involves
- As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement learning for agentic / open-ended tasks
- Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models
- Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks
- Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics
Application process
- Deadline to apply: None. Applications will be reviewed on a rolling basis
Salary benchmarks
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
Few candidates hear
back within 2 weeks
190% employee growth in 12 months
Glassdoor (4.3)
Trustpilot (2.2)
Company
Funding (last 2 of 10 rounds)
Nov 2024
$4bn
GROWTH EQUITY VC
Jul 2024
$50m
GROWTH EQUITY VC
Total funding: $11.8bn
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 values
- Here for the mission: We pursue our mission by building frontier systems, studying their behaviors, working to responsibly deploy them, and regularly sharing our safety insights. We collaborate with other projects and stakeholders seeking a similar outcome.
- Unusually high trust: We assume good faith, disagree kindly, and prioritize honesty. We expect emotional maturity and intellectual openness. At its best, our trust enables us to make better decisions as an organization than any one of us could as individuals.
- Do the simple thing that works: We celebrate trying the simple thing before the clever, novel thing. We embrace pragmatism - sensible, practical approaches that acknowledge tradeoffs. We love empiricism - finding out what actually works by trying it - and apply this to our research, our engineering and our collaboration. We aim to be open about what we understand and what we don’t.
- One big team: Collaboration is central to our work, culture, and value proposition. While we have many teams at Anthropic, we feel the broader sense in which we are all on the same team working together towards the mission.
Company HQ
SoMa, San Francisco, CA
Articles
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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