SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 405,000 - 485,000 / annual
Anthropic is building AI systems that are safe, beneficial, and transformative. The Applied AI, Science & Engineering team takes Claude to scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields.
This is an engineering role focused on bridging research breakthroughs and real-world applications. You will build the tools Claude needs to do real research and engineering work—primarily software: agent harnesses, integrations, evaluations, and working processes that turn a partner's problem into something Claude can make progress on and validate.
Key responsibilities include:
- Build agent harnesses and research loops that let Claude carry a problem from literature review through hypothesis generation, simulation, analysis, and design iteration
- Connect scientific computing and simulation tools (finite element, CFD, electromagnetic, molecular modeling codes) so Claude can drive them reliably and at scale
- Design and build evaluations that determine whether Claude's work is actually correct, and be honest about where it isn't
- Sit with scientists and engineers at partner organizations to learn their problem, data, tools, and constraints, and turn open-ended questions into well-specified, verifiable tasks with clear success criteria
- Prototype with partners, ship pilots into their workflows, and cut anything that doesn't move the problem forward
- Turn what works in one engagement into shared tools, reusable components, and documented processes
- Be the technical voice on how Claude performs on science and engineering work, explaining results, limits, and tradeoffs to researchers, engineering leads, and non-technical stakeholders
- Partner with research and product teams to share where models fall short and help shape what comes next
You'll spend real time with domain experts, become the person who knows how to get Claude working in their field, and prototype quickly alongside them. Most of your time goes into building and hardening the systems that make that work repeatable.
Requirements:
- 8+ years of experience building software with strong engineering fundamentals and comfort across the stack (data pipelines, tooling, interfaces)
- Built real systems with large language models, including agents, tool use, or evaluations
- Worked on technical problems in a science or engineering field (physics, materials, chemistry, electrical or mechanical engineering)
- Track record of zero-to-one work in startup or startup-like environments
- Can work directly with expert users, understand their workflows deeply, and keep focus on building the right system
- Good judgment about what can and can't be verified; comfortable saying a result isn't good enough yet
- High agency, pick up new domains quickly, hold strong opinions loosely
- Communicate clearly with researchers, engineers, and external partners; care about societal impacts
Strong candidates may also have:
- Advanced degree or research experience in a physical science or engineering field
- Hands-on experience with scientific computing, simulation, numerical methods, or optimization
- Experience in industrial R&D, national labs, or deep-tech companies (energy, materials, manufacturing, hardware)
- Experience building alongside customers or technical partners in forward-deployed, applied AI, or solutions engineering roles
- Experience with ML research, RL environments, or evaluation design
Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience in a field relevant to the role.
Location-based hybrid policy: Currently expect all staff in offices at least 25% of the time; some roles may require more.
