Anthropic is looking to optimize computing resources to support the deployment of AI systems by analyzing data and forecasting capacity needs.
Requirements
6+ years of experience in data science roles, specializing in solving infrastructure problems, with a focus on capacity/compute.
Knowledge of cloud based billing systems and efficiency optimization.
Expertise in Python, SQL, and data visualization tools.
Experience in turning open questions and data into concise and insightful analysis.
Responsibilities
Analyze infrastructure and utilization data to define key metrics, understand trends, set team goals, provide actionable insights and identify optimization opportunities.
Partner with stakeholders across engineering, research, product, operations and finance to improve predictability of capacity utilization and optimize the allocation of capacity across different users and products.
Develop models to forecast future capacity needs based on business growth projections and product roadmaps.
Identify and size opportunities to optimize infrastructure costs and performance, influencing the roadmap through your insights and recommendations.
Build a data-driven culture within the infrastructure team by establishing foundational data best practices and making data more accessible.
Other
A passion for the company's mission of building helpful, honest, and harmless AI.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
A deep curiosity and energy for pulling the thread on hard questions.
Highly effective written communication and presentation skills.
We require at least a Bachelor's degree in a related field or equivalent experience.
