Senior+ Software Engineer, Research Tools

About Anthropic

Anthropics 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

Anthropics 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 youll 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. Youll work directly with researchers and engineers to deeply understand their workflows identify bottlenecks and rapidly ship solutions that multiply their productivity. Whether youre 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.

Were looking for someone who can operate with high agency in an ambiguous environmentsomeone 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 shippingyou 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 Anthropics 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-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

Representative projects

• 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

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

How were different

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. Were 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 aboutour policyfor using AI in our application process