About the role
As our first machine learning hire, you will be responsible for building our foundational ML infrastructure and experimenting with novel techniques to deliver product value through deep learning. You’ll experiment with fine-tuning existing models and building custom models to solve problems like automatic type inference, code similarity analysis, and program synthesis.
This role is ideal for tinkerers and researchers who want to see their insights transformed into real products. You will have significant ownership over our product roadmap and autonomy to design experiments from scratch.
We believe that a big challenge in the next decade will be crumbling digital infrastructure. Our entire modern economy runs on code, but we haven’t developed appropriate tools to ensure software remains reliable over time.
Companies know that technical debt threatens the reliability of their services and slows down the pace of innovation, but struggle to find enough engineering talent to fix issues—most software maintenance today is still done manually and delayed as long as possible.
We believe there is a better way: we’re building Grit, a query language for automatically maintaining software. Underneath, we use advanced parsing, static analysis, and machine learning to automatically generate pull requests.
Research potential approaches to deploy machine learning for solving concrete business problems.
Define strategies to build ML infrastructure for model development (training, validation, tuning) and model serving.
Transform words into product: understand concepts in research papers and revamp research code to build production-grade ML code to power magical experiences in our product.
4+ years of software engineering experience with at least 2 years of applied machine learning experience
Execution-driven mindset: you love shipping.
Comfortable working on low-structure environments and navigating unknown unknowns.
Excellent communication, writing and presentation skills.
Why you should join us
Build a meaningful product to solve a tangible problem for companies.
Ownership in all senses of the word: significant equity upside, direct impact on product vision, and contact with users.
Solve your own problems. We dogfood our own product and you can build the ideal developer experience as you work.
Explore frontiers in programming languages and machine learning.
We have a long runway and can offer a competitive base salary (up to $250k).
We believe that the most impactful work is done through high bandwidth in-person collaboration, particularly at an early-stage company. Most of the team works from our NYC office, near Union Square. Exceptions are possible for candidates with a demonstrated track record in related fields.