Address
Form of work
SalaryIn the past year, our engineering and data science team grew from <10 to 40+ and we rolled out infrastructure updates, new products, and updates to existing workflows - combining data, ML frontend and backend work. 2024 is very exciting for us; we expect the technical team to triple as we deliver on a roadmap to handle 10x our current volume. Now is the time to get on the ground floor as we scale!
We are looking for multiple levels of Machine Learning Engineers who are passionate about building production Machine Learning products with a world-class team headed up by Matyas (lead early and foundational teams at Quora and Uber). You will have immense opportunities to work on a broad range of business/technical problems and technologies, build Machine Learning models, and design/automate/deploy production Machine Learning pipelines. We share a passion for problem-solving, new technologies, and learning, so you will be highly encouraged to explore new technologies and develop innovative solutions that could take the team's machine-Learning Engineering capability to the next level.
What you'll do:
You will build and deploy Machine Learning models in production that tangibly impact the lives of our customers
You will be a strategic partner for leaders across the organization on driving business impact through Machine Learning
Build strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points
Develop methods and algorithms from first principles where necessary as opposed to relying fully on packaged third-party solutions
What we look for:
Experience building Machine Learning systems deployed to production
Industry or research experience in NLP, information retrieval, or entity resolution
Ability to communicate technical ideas or issues in easy-to-understand and actionable terms
Ability to translate theory and new ideas into practical shippable solutions
Ability to learn quickly and proactively seek-out opportunities to work cross-functionally and with a diverse group of people
Someone who thrives on data-driven development and is always looking for ways to analyze and improve with data
Someone who's looking for new challenges to take their craft to the next level
Benefits & Perks:
Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, we offer:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About EvenUp:
EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims each year. Every year, the legal system has made it difficult for millions of ordinary people to seek justice, especially for folks without means or who come from underrepresented backgrounds. Our vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or the quality of their legal representation.
EvenUp operates across a variety of personal injury cases, including motor vehicle accidents and negligence claims. Our ML-driven software empowers attorneys to accurately assess the value of these cases by doing a core part of their workflow (legal drafting), enabling them to secure larger settlements in record time. As EvenUp evaluates more cases, our proprietary data grows, enhancing the precision of our predictions and delivering more value to both attorneys and victims alike.
We are one of the fastest growing startups ($0 to $10M in ARR in <2 years) and are funded by some of the best investors in the world, including Signalfire, Bain, and Bessemer, who led our recent $50M Series B.
