Machine Learning Engineering Manager

We are seeking an exceptional Machine Learning Engineering Manager to lead our talented team of Machine Learning Engineers and play a pivotal role in shaping the direction of our product. As an experienced leader, you will contribute hands-on with coding and modeling, as well as mentor, build, and guide your team to success. Your strong practical experience will be critical as we aim to push the boundaries of technology and remain at the forefront of the rapidly evolving technological advancements in machine learning.

In this role, you will have the opportunity to make a meaningful impact on victims' lives while working with a talented interdisciplinary team of passionate individuals - with backgrounds in industry and academic research in physics, ML, neuroscience, and more. As a Machine Learning Engineering Manager, you will play a key role in shaping the direction of our product and the technologies we work with. The success of your team's output directly connects to the success of our business, providing ample opportunity for growth and advancement of you and your team.

What you'll do:

• Develop and implement career progression frameworks to guide the growth of your direct reports.
• Provide mentorship, coaching, and resources to support the technical and career development of team members.
• Foster a culture of continuous learning and professional growth within the organization.
• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad.
• Coordinate with cross-functional partners to align on product priorities and roadmap objectives.
• Lead discussions to formulate data-driven strategies that support the team's goals and objectives.
• Drive advanced in-context learning initiatives leveraging LLMs to enhance team capabilities.
• Fine-tune LLM models to optimize performance and accuracy in specific contexts or domains.
• Implement RAG status indicators and synthetic evaluation techniques to assess model effectiveness and refine strategies accordingly.

What we look for:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred.
• Strong proficiency with the latest Large Language Model (LLM) technologies.
• High proficiency in a procedural programming language (e.g. Python).
• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders.
• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members.
• Previous experience in the legal or healthcare is a plus, but not required.

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 all types of injury cases, from police brutality and child abuse to California wildfires and motor vehicle accidents. 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.