Software Engineer, Human Feedback Interface

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 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

The Research Tools team is looking for an experienced Software Engineer for our Human Feedback Interface, a system designed to collect data to refine and improve our models. We’re looking for a technical leader to work closely with researchers, mentor engineers, and provide technical leadership for this critical system at the intersection of model improvement and product development.

Responsibilities:

• Collaborate with researchers to develop front- and back-end infrastructure for novel interaction models used in our Human Feedback system


• Develop reusable UI components, libraries, and RPC systems to accelerate data collection and fine-tune our models


• Implement tools and processes to monitor and improve system performance


• Design integrations with third-party services leveraged for experimentation and data collection


• Collaborate with Security and Privacy experts to harden our infrastructure


• Mentor our growing team of engineers supporting research


• Work with researchers to accelerate the deployment of experiments

You may be a good fit if you:

• Have 5+ years of experience as a software engineer, preferably building APIs and/or responsible user interfaces for web


• Expert proficiency in frontend technologies such as React, HTML/CSS


• Have strong coding skills and experience with service-oriented architectures


• Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use


• Strong communication and collaboration skills to partner effectively with cross-functional teams, including AI Researchers


• Enjoy working with a fast-paced team tackling cutting-edge problems in AI safety and conversational AI


• Enjoy pair programming (we love to pair!)

Strong candidates may also have experience with:

• Have worked with NLP and ML models before and understand their capabilities and limitations


• Have experience with REST APIs


• Have experience with react and frontend frameworks


• Have experience with containerization and DevOps


• Have experience with QA and testing automation


• Have experience with privacy and security best practices

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:

$300,000—$405,000 USD

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.