Software Engineer, Employee Acceleration Tools
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 is looking for an empathetic engineer to build internal tools to enable and increase productivity for our employees, including scenarios for fraud, trust & safety, sales, and support teams. You'll collaborate closely with internal users to understand needs and create efficient solutions, often incorporating Claude for a greater experience and impact. On Employee Acceleration Tools, we are passionate about delighting and enabling our users through thoughtful and easy-to-use everyday solutions.
We have multiple roles open on this team and are looking for experienced engineers at different stages in their career who are excited about this space and our mission.
- Rapidly prototype and build internal tools for a variety of functions
- Develop custom internal tools and integrations where needed for more complex workflows
- Consult with different teams to deeply understand their workflows and identify opportunities for automation
- Maintain and iterate on tools based on user feedback to continually improve utility
- Monitor tool reliability and be available to troubleshoot issues
- Advocate for interfaces, APIs, and UX designed for usability
- 3-10+ years building production full-stack software with a focus on usability
- Strong communication skills and user empathy to understand needs
- Proficiency with modern web development stacks
- Experience with cloud technologies
- Demonstrated a focus on reliability and iterative improvement
- Experience building internal tools
- A background in fraud, security, or related internal workflows
- Knowledge of security and privacy best practices
- Experience balancing trade-offs while maintaining security, privacy, and reliability standards
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: We welcome applicants from all states, but preference will be given to candidates based in the Seattle area as this position is part of a Seattle-based team.
The expected salary range for this position is:
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.
How we're differentWe 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.