United States onlyAbout 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 is looking for an empathetic engineer to build internal tools that enable and increase productivity for our employees, including scenarios for fraud, trust safety, sales, and support teams, as well as the platforms and data pipelines that power them. You'll collaborate closely with internal users to understand needs and create efficient solutions, often augmenting the tools with Claude for a greater experience and impact. On the Business Technology team, we are passionate about delighting and enabling our users through thoughtful and easy-to-use everyday solutions.
At Anthropic, we're building towards an ambitious mission of ensuring AI systems are safe and beneficial to humanity. Our team plays a crucial role in this mission by enabling our teams to work efficiently and securely at scale.
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.
Responsibilities:
- Rapidly design, prototype and build full-stack internal tools for business-critical use cases
- Consult with different teams to deeply understand their workflows and identify opportunities for improved productivity through engineering
- Iterate rapidly based on user feedback to continuously improve our tools
- Create intuitive interfaces that make complex tasks simple and efficient
- Monitor system reliability, build for operational excellence, and lead incident response when issues arise
- Champion best practices in API design, security, and user experience
You may be a good fit if you:
- Have 5-10 years experience building production, full-stack software with a focus on usability
- Have experience building and maintaining scalable internal applications and platforms
- Excel at modern web development (React, TypeScript, Node.js, Python)
- Bring strong experience with cloud technologies and services (AWS/GCP/Azure)
- Demonstrate a focus on reliability and iterative improvement
- Communicate with empathy and strive to understand user needs
Strong candidates may also:
- Enjoy collaborating cross-team and working with users to gain alignment on requirements and functionality
- Have experience implementing accessibility best practices to ensure products are usable and beneficial for all users
- Have experience balancing trade-offs while maintaining security, privacy, and reliability standards
- Coach and mentor other engineers
- Have experience anticipating changing business needs to create technical road maps
- Have experience with data pipelines
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Logistics
Education requirements: We require at least a Bachelor's 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 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 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. 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
