Machine Learning Engineering Manager, EvenUp
AI-driven support for personal injury lawyers
Open for applications
AI-driven support for personal injury lawyers
201-500 employees
Open for applications
201-500 employees
Company mission
To close the justice gap using technology and AI.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Every year, millions of personal injury cases in the US are resolved with only a small fraction going to trial, leaving many victims potentially under-compensated due to inaccurate settlement proposals. EvenUp aims to change this by leveraging AI technology to streamline the assessment of injury cases.
The AI tools evaluate raw case files, including medical and police records, creating tailored "demand packages" that present comprehensive compensation arguments. This improves lawyer performance and victim outcomes.
Despite concerns about AI bias and privacy, EvenUp has garnered significant investor interest, closing a funding round in 2023 to drive growth. The company plans to introduce new techniques and products for personal injury and other legal areas.
Freddie
Company Specialist
Insights
Some candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Sep 2024
$35m
SERIES C
Apr 2023
$50m
SERIES B
Total funding: $85m
Company benefits
- Flexible working hours to match your style
- Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
- A variety of virtual team events such as game nights & happy hours
- 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 🇺🇸
Company values
- Your Case is our Cause - Each case is an important moment for someone. We are committed to serving law firms and their clients with understanding and dedication. We treat each case as if it were our own and solve for the diverse needs of law firms, their staff, and clients.
- Always Building Trust - The cornerstone of our business is the hard-earned trust of our clients, achieved through the quality of our work. We are dedicated to building and maintaining this trust, both with our clients and within our own ranks, ensuring every interaction reflects our commitment to excellence.
- 1% Better Every Day - Our goal is perpetual growth. We embrace feedback, learn from our mistakes, expand our capabilities, and hold ourselves to high standards.
- Thoughtful Urgency - We move with purpose and speed. We recognise the speed of innovation, the value of time, and our need to keep up.
Company HQ
The Castro, San Francisco, CA
Articles
Leadership
Rami Karabibar
(Co-founder & CEO)Graduated from the McGill University with a Bachelor's Degree in Investment Management. Previously worked as a Management Consultant at Bain & Company and as a Startup Generalist at Zoomer.
Raymond Mieszaniec
(Co-founder & COO)Previously co-founded EquitySim. Also worked as a Risk Consultant at PwC Hong Kong and Mainland China and as an Accountant at Scotiabank.
Saam Mashhad
(Chief of Product & Legal Operations)Previously worked as a Law Clerk at the Superior Court of Quebec. Also co-founded Compass Startup & Legal Clinic where they served as the Director for 3 years before becoming an Associate at Norton Rose Fulbright.
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