Jobs / United States / Anthropic Pbc D B A Anthropic INC
Software Engineer, Research Tools
Anthropic Pbc D B A Anthropic INC · 🇺🇸 San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Anthropic Pbc D B A Anthropic INC
USCIS Data Hub records 1 H-1B approvals for this employer in FY2023. Source: USCIS H-1B Employer Data Hub (US Citizenship and Immigration Services).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Anthropic Pbc D B A Anthropic INC →
About the role
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 Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities • Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results • Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions • Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient • Create reusable platforms and tools that accelerate the development of new research applications • Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage • Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration • Contribute to technical strategy and architectural decisions for research tooling • Mentor other engineers and help establish best practices for research application development You may be a good fit if you • Have 5+ years of software engineering experience with a strong focus on full-stack development • Excel at rapid iteration and shipping—you can move from concept to working prototype quickly • Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) • Demonstrate high agency and ability to operate independently in ambiguous environments • Can quickly develop deep understanding of complex technical domains • Have strong product instincts and can identify the right problems to solve • Are proficient with modern web technologies (React, TypeScript, Python, etc.) • Have a track record of building user-facing applications that are actually used and loved by their target audience • Communicate effectively with both technical and non-technical stakeholders • Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have • Experience building research tools, scientific software, or experimentation platforms • Background in machine learning, AI research, or working closely with ML researchers • Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools • Built open-sourc