Anthropic
Overview
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role
As an early member of our Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by ensuring we strategically manage and scale our computing resources to meet research and product needs. In this unique company, technology, and moment in history, your work will be critical to ensuring our infrastructure is efficient, scalable, and ready to support the deployment of safe, frontier AI at scale to the world. You will work closely with infrastructure engineers, product, and finance to understand current utilization patterns, identify optimization opportunities, and build models to forecast future capacity requirements. You have worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. 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. You might be a good fit if you have
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. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in Python, SQL, and data visualization tools. 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. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. Salary
The expected salary range for this position is $275,000 - $355,000 USD. Logistics
Education requirements:
We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy:
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. Visa sponsorship:
We sponsor visas. If we make you an offer, we will make reasonable efforts to obtain a visa and may retain an immigration lawyer to assist. Applying : We encourage you to apply even if you do not meet every single qualification. We value diverse perspectives and believe AI systems have important social and ethical implications. How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts and value impact—advancing long-term goals of steerable, trustworthy AI—over smaller, more specific puzzles. We are highly collaborative and value strong communication skills. The easiest way to understand our research directions is to read our recent work, including topics such as GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Apply for this job
Interested in building your career at Anthropic? We encourage you to apply and learn more about our opportunities.
#J-18808-Ljbffr
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role
As an early member of our Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by ensuring we strategically manage and scale our computing resources to meet research and product needs. In this unique company, technology, and moment in history, your work will be critical to ensuring our infrastructure is efficient, scalable, and ready to support the deployment of safe, frontier AI at scale to the world. You will work closely with infrastructure engineers, product, and finance to understand current utilization patterns, identify optimization opportunities, and build models to forecast future capacity requirements. You have worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. 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. You might be a good fit if you have
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. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in Python, SQL, and data visualization tools. 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. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. Salary
The expected salary range for this position is $275,000 - $355,000 USD. Logistics
Education requirements:
We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy:
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. Visa sponsorship:
We sponsor visas. If we make you an offer, we will make reasonable efforts to obtain a visa and may retain an immigration lawyer to assist. Applying : We encourage you to apply even if you do not meet every single qualification. We value diverse perspectives and believe AI systems have important social and ethical implications. How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts and value impact—advancing long-term goals of steerable, trustworthy AI—over smaller, more specific puzzles. We are highly collaborative and value strong communication skills. The easiest way to understand our research directions is to read our recent work, including topics such as GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Apply for this job
Interested in building your career at Anthropic? We encourage you to apply and learn more about our opportunities.
#J-18808-Ljbffr