Software Engineer, Anthropic
Inference Scalability & Capability
£240-325k
+ Optional equity donation matching
More information about location
1+ day a week in office
AI safety and research company
Be an early applicant
AI safety and research company
1001+ employees
Be an early applicant
£240-325k
+ Optional equity donation matching
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
- You may be a good fit if you:
- Have significant software engineering experience
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Want to learn more about machine learning research
- Care about the societal impacts of your work
- Strong candidates may also have experience with:
- High performance, large-scale distributed systems
- Implementing and deploying machine learning systems at scale
- LLM optimization batching and caching strategies
- Kubernetes
- Python
- Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
What the job involves
- Our Scalability and Capability Inference team is responsible for building and maintaining the critical systems that serve our LLMs to a diverse set of consumers
- As the cornerstone of our service delivery, the team focuses on scaling inference systems, ensuring reliability, optimizing compute resource efficiency, and developing new inference capabilities
- The team tackles complex distributed systems challenges across our entire inference stack, from optimal request routing to efficient prompt caching
- Representative projects:
- Optimizing inference request routing to maximize compute efficiency
- Autoscaling our compute fleet to effectively match compute supply with inference demand
- Contributing to new inference features (e.g. structured sampling, fine tuning)
- Supporting inference for new model architectures
- Ensuring smooth and regular deployment of inference services
- Analyzing observability data to tune performance based on production workloads
Application process
- Deadline to apply: None. Applications will be reviewed on a rolling basis
- Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two
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
190% employee growth in 12 months
Glassdoor (4.3)
Trustpilot (1.7)
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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