Staff Software Engineer, Anthropic
AI Reliability Engineering
£255-390k
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
£255-390k
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
- Have extensive experience with distributed systems observability and monitoring at scale
- Understand the unique challenges of operating AI infrastructure, including model serving, batch inference, and training pipelines
- Have proven experience implementing and maintaining SLO/SLA frameworks for business-critical services
- Are comfortable working with both traditional metrics (latency, availability) and AI-specific metrics (model performance, training convergence)
- Have experience with chaos engineering and systematic resilience testing
- Can effectively bridge the gap between ML engineers and infrastructure teams
- Have excellent communication skills
Desirable
- Have experience operating large-scale model training infrastructure or serving infrastructure (>1000 GPUs)
- Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium, e.g.)
- Understand ML-specific networking optimizations like RDMA and InfiniBand
- Have expertise in AI-specific observability tools and frameworks
- Understand ML model deployment strategies and their reliability implications
- Have contributed to open-source infrastructure or ML tooling
What the job involves
- Anthropic is seeking talented and experienced Reliability Engineers, including Software Engineers and Systems Engineers with experience and interest in reliability, to join our team
- We will be defining and achieving reliability metrics for all of Anthropic’s internal and external products and services
- While significantly improving reliability for Anthropic’s services, we plan to use the developing capabilities of modern AI models to reengineer the way we work
- This team will be a critical part of Anthropic’s mission to bring the capabilities of groundbreaking AI technologies to benefit humanity in a safe and reliable way
- Develop appropriate Service Level Objectives for large language model serving and training systems, balancing availability/latency with development velocity
- Design and implement monitoring systems including availability, latency and other salient metrics
- Assist in the design and implementation of high-availability language model serving infrastructure capable of handling the needs of millions of external customers and high-traffic internal workloads
- Develop and manage automated failover and recovery systems for model serving deployments across multiple regions and cloud providers
- Lead incident response for critical AI services, ensuring rapid recovery and systematic improvements from each incident
- Build and maintain cost optimization systems for large-scale AI infrastructure, focusing on accelerator (GPU/TPU/Trainium) utilization and efficiency
Application process
- 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 (2.1)
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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