Work at a Portfolio Company

🔨Founding ML Engineer - Grit

Grit

Grit

Software Engineering, Data Science
Posted on Friday, June 2, 2023
🔨

Founding ML Engineer - Grit

Team
Engineering

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.

About Grit

Grit is on a mission to crush technical debt.
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.
Founders Fund and Abstract Ventures led our $7M seed round and we have many paying customers on our beta product. Our team is currently 5 engineers.

Responsibilities

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.

Qualifications

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).

Location Policy

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.

How to apply

If this role sounds interesting to you, let us know here. Even if you’re not quite sure, we encourage you to apply anyway.