About Anthropic
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
The mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth.
Responsibilities:
- Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs
- Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes
- Institute and design governance workflows to help manage additional capacity request approvals
- Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately
- Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis.
- Tech lead with outside vendors to manage anthropic capacity needs
- Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome
- Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure
- Work closely with TPMs on special efficiency projects and help deliver committed outcomes
**You may be a good fit if you: **
- 5+ years experience in capacity engineering
- 5+ years experience in a technical role
- Intermediate knowledge of various public cloud providers
- Experience with data modeling for public cloud
- Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows
- Experience in scripting and building automation tools
- Self-disciplined and thrives in fast paced environments
- Excellent communication skills
- Familiarity with cloud compute, storage, network, and services
- Attention to detail and a passion for correctness
Deadline to apply:** None. Applications will be reviewed on a rolling basis. **
The expected salary range for this position is:
Annual Salary:
$320,000—$405,000 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 do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
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 just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process