Software Engineer, Research Tools

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

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-source tools or platforms with active user communities

Experience with data visualization, interactive interfaces, or novel interaction paradigms

Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)

Experience leveraging AI/LLMs to build more powerful or efficient tools

Previous work in creative tools, artist tools, or other domains requiring deep user empathy

Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Building interfaces for collecting and managing human feedback on model outputs at scale

Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs

Developing visualization tools that help researchers understand model behavior and identify failure modes

Designing reusable components and frameworks that enable rapid development of new research applications

Building sandboxed execution environments for safely running AI-generated code

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.

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.

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.