Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Leadership @ 7
Mathematics @ 6
Technical Leadership @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building reliable, interpretable, and steerable AI systems. This role focuses on bringing Claude to scientists and engineers and building products that support scientific discovery and engineering workflows.
Responsibilities
- Build products that unlock scientific discovery.
- Partner with product management, design, and go-to-market teams to simplify complex workflows, such as modeling and simulation, with Claude.
- Work closely with research teams to improve models’ capabilities in science and engineering.
- Spend time with academic and industry users to determine what to build next.
- Own technical design and delivery end to end, shipping products quickly rather than simply executing a specification.
- Work with internal experts and industry partners, including researchers supported through initiatives such as the AI for Science Program.
Requirements
- Software engineering experience, including ownership of the technical design and delivery of products.
- Experience building products from 0 to 1 in fast-moving environments and setting technical direction with limited precedent.
- Experience building AI products and understanding how to turn model capabilities into applications that people use.
- Ability to think holistically about user experience and create tools that scientists and engineers enjoy using.
- Comfort working directly with technical domain experts and customers and translating findings into products.
- Enjoyment of solving difficult problems with researchers, scientists, and other engineers.
- Preferred: 8+ years of software engineering experience, ideally including 2+ years at Staff or equivalent technical leadership level.
- Preferred: Background in mathematics, physics, materials science, mechanical or electrical engineering, or another science or engineering field.
- Preferred: Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools.
- Preferred: Experience as a founder or early engineer at a company building tools for scientists or engineers.
- Preferred: Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks.
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and experience.
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
Work Policy
Anthropic currently expects staff to work from one of its offices at least 25% of the time. Some roles may require more time in the office.
Compensation
The annual salary range is $405,000–$485,000 USD.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration.
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