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.
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future.
Claude has already helped uncover a novel enzyme system, formalize Fermat’s Last Theorem, design more efficient quantum circuits, and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1.
You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields.
Key responsibilities- Build products that unlock scientific discovery
- Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude
- Work closely with research to make models better at science and engineering
- Spend time with users in academia and industry to decide what to build next
- Own technical design and delivery end to end, shipping product quickly rather than just executing a spec
- Software engineering experience, including owning 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 to lean on
- Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use
- Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use
- Comfort working directly with technical domain experts and customers, and turning what you learn into product
- Enjoyment of solving hard problems together with researchers, scientists, and other engineers
- 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
- Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field
- Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools
- Experience as a founder or early engineer at a company building tools for scientists or engineers
- Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
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.
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
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
Skills Required
- Software engineering experience, including ownership of technical design and product delivery
- Experience building products from 0 to 1 in fast-moving environments
- Experience setting technical direction with limited precedent
- Experience building AI products and translating model capabilities into usable applications
- Ability to think holistically about user experience and build tools for scientists and engineers
- Experience working directly with technical domain experts and customers
- Ability to collaborate with researchers, scientists, and engineers to solve complex problems
- 8+ years of software engineering experience
- 2+ years at Staff level or equivalent technical leadership experience
- Background in mathematics, physics, materials science, mechanical engineering, electrical engineering, or another science or engineering field
- Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools
- Founder or early-engineer experience at a company building tools for scientists or engineers
- Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
- Bachelor's degree or equivalent combination of education, training, and experience
- Education or professional experience in a field relevant to the role
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Equity Value & Accessibility — Equity grants are described as substantial with strong upside potential, alongside an option to match equity donations at a 1:1 ratio up to part of the grant. Feedback suggests this equity component is a major draw for top technical and research talent.
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Healthcare Strength — Medical, dental, and vision coverage for employees and dependents is complemented by mental health resources. Feedback suggests the health package is comprehensive and competitive.
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Parental & Family Support — Policies feature generous paid parental leave and inclusive fertility and family-building benefits. Feedback suggests these family supports are a standout part of the package.
Anthropic Insights
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
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