Jobs · Engineering · New York

Staff+ Software Engineer, Public Sector

Anthropic · New York, NY · 4 days ago
HybridEngineering$405k–$485k/yrFull-time

About the role

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

Anthropic is bringing Claude to the U.S. government and allied democracies, and we’re looking for startup-minded engineers to grow our public sector engineering team. This is a small team with large surface area. You’ll work across the stack to take products from 0 to 1 and beyond. We Are Looking For Product-And Civic-minded Engineers With a Track Record Of Building And Scaling Great Products. The Opportunities Outpace Our Ability To Build Them All, So The Right Candidate Thrives On Sharp Judgment, Prioritization, And Focus. You’ll Own Work Like Building Claude products that can be used by customers in highly regulated environments, Deploying Claude into government networks, Understanding and improving Claude’s usefulness in common government workflows – for example, policy research, benefits administration, intelligence analysis, Scaling and innovating Claude for Government, our existing product serving U.S. government customers today.

Requirements

  • Experience building AI products and a working intuition for their capabilities and limitations
  • A strong technical track record building and shipping enterprise- or government-grade products
  • Excellent cross-functional collaboration skills — you’ll partner with sales, legal, research, and policy teams alike

Qualifications

  • Years of experience required will correlate with the internal job level requirements for the position
  • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Benefits

The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary $405,000—$485,000 USD

Pay

Annual Salary $405,000—$485,000 USD

Schedule

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.

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!

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.

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