About Quotient AI
At Quotient, we are a platform for evaluating AI products on real-world use-cases, during research, development, and in production. We believe that model evaluation is essential to shipping successful AI products quickly and confidently. We enable researchers and developers to understand the tradeoffs they are making in training and deploying AI models and products. With Quotient, they can iterate faster towards more ambitious goals.
Quotient will enable AI products to become ubiquitous, reliable, and safe.
Our founders most recently led AI evaluation for GitHub Copilot. We have raised a Seed Round from top VCs and angel investors.
About the Position
We are looking for experienced engineers who understand AI systems, and are excited about becoming global leaders in a completely novel field. We need people that can work independently as part of a small team.
You will be responsible for building the industry’s first end-to-end AI evaluation platform, starting with an offline evaluation harness and web platform. You’ll also help forge the foundation of our company’s engineering team and company culture.
We are a small team passionate about technology, research, and the extraordinary things we can build when we combine the two. We’re also fun, collaborative, and have meaningful lives outside of work.
You might be a good fit if you’ve worked as an ML Engineer, Infrastructure Engineer, or SRE. We are building a team in Boston, Massachusetts, and preference will be given to candidates who can join us in our office 2 days per week.
What you’ll do:
- Work closely with the engineering team and lead early product development, including designing and implementing a foundational evaluation platform.
- Balance trade-offs for performance and usability for our initial customers. We want our platform to be easy to use, and for customers to get results fast.
- Ship to learn: iterating, experimenting, and testing ideas to move us along our path to product-market fit.
- Bootstrap our initial development tooling, infrastructure, and deployment processes
- Collaborate with external researchers, design partners, and early customers.
Requirements:
- 5 years of full time industry experience building and operating production systems in a modern cloud / enterprise setting, using tools like Python, terraform / pulumi, or kubernetes / lambda — with security in mind
- You’re a self-starter who is comfortable with ambiguity and open-ended technical challenges
- You can own projects end-to-end, and effectively collaborate with teammates
- You can balance building high quality, secure software with prioritizing company goals
- Experience with different cloud providers like AWS, GCP, or Azure
Nice to have (but not required):
- Experience with ML systems, particularly high scale distributed inference for modern LLMs
- Experience building user-facing data, ML, or analytics products
- Experience working at an early stage startup
Benefits
Competitive salary & equity stake in the company
Medical, dental, and vision insurance
401k benefits with company match
Unlimited PTO policy & holiday shutdown last week of the year
Paid commuter benefits for employees working hybrid in Boston
Weekly team lunches
(Unfortunately, we’re currently unable to sponsor visas.)
