Staff Software Engineer, Anthropic

AI Reliability Engineering

£255-390k

Senior and Expert level
London

More information about location

Anthropic

AI safety and research company

Open for applications

Anthropic

AI safety and research company

1001+ employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Open for applications

£255-390k

Senior and Expert level
London

More information about location

1001+ employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Company mission

To create reliable, interpretable, and steerable AI systems.

Role

Who you are

  • Anthropic is seeking talented and experienced Reliability Engineers, including Software Engineers and Systems Engineers with experience and interest in reliability, to join our team
  • 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
  • Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience

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

  • 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

  • Deadline to apply: None. Applications will be reviewed on a rolling basis

Salary benchmarks

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Insights

Top investors

190% employee growth in 12 months

Glassdoor (4.3)

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Trustpilot (1.7)

Company

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

Funding (last 2 of 12 rounds)

Mar 2025

$3.5bn

SERIES E

Jan 2025

$1bn

GROWTH EQUITY VC

Total funding: $16.3bn

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.

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Freddie

Company Specialist at Welcome to the Jungle