Staff Software Engineer, Anthropic

Compute ML Scheduling and Observability

$320-405k

Kubernetes
Python
PyTorch
Slack
Expert level
New York
San Francisco Bay Area

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

$320-405k

Kubernetes
Python
PyTorch
Slack
Expert level
New York
San Francisco Bay Area

More information about location

1001+ employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Company mission

To create reliable, interpretable, and steerable AI systems.

Role

Who you are

  • Experience instrumenting ML workloads for performance monitoring/efficiency
  • Experience with high performance, large scaled distributed systems
  • Experience with LLM inference and Reinforcement Learning
  • Observability tooling and best practices (logging, metrics, tracing)
  • 10+ years experience in capacity efficiency or performance engineering
  • 10+ years experience in a technical role
  • Have experience in scripting and building automation tools
  • Are self-disciplined and thrives in fast paced environments
  • Have Excellent communication skills
  • Pick up slack, even if it goes outside your job description
  • Have attention to detail and a passion for correctness

Desirable

  • Reinforcement Learning
  • Cross-Platform accelerators
  • Pytorch
  • Python
  • Kubernetes
  • Performance optimization across multiple platforms/environments

What the job involves

  • The mission of the Capacity Efficiency & Performance team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, support and improve our model development through improved observability and capacity efficiency, advise on key decisions affecting budget, provide capacity planning and performance expertise to various Anthropic-wide stakeholders in both finance and engineering leadership
  • You will be expected to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective, with research engineering to scope and understand the observability and capacity needs for model development, and collaborate cross-functionally with finance and data science partners to analyze and forecast growth
  • Develop self-service tools and dashboards to enable Anthropic engineers to understand their capacity, efficiency, and costs, leveraging observability best practices
  • Design ML-informed forecasting models and automation to help capacity plan for both near and long-term outcomes
  • Institute governance workflows and optimization pipelines for managing cloud resources across LLM training and inference workloads
  • Investigate capacity requests and recommend right-sizing strategies for performance optimization across multiple platforms/environments
  • Build comprehensive cost-to-serve analytics programs that account for ML/LLM-specific infrastructure requirements and inform pricing strategies
  • Lead technical partnerships with cloud providers and hardware vendors to optimize capacity utilization aligned with ML workload patterns
  • Design and implement observability solutions that provide insights into infrastructure efficiency for large-scale distributed systems
  • Collaborate with engineering teams to identify and resolve performance bottlenecks in Kubernetes-based ML infrastructure
  • Partner with research teams to quantify computational requirements for new ML initiatives and develop appropriate capacity plans

Application process

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

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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