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Senior/Staff MLOps Engineer
5 months ago
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 every 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.
As one of the fastest growing startups ($0 to $10M in ARR in
The role:
In the last ~2.5 years, EvenUp has gone from 0 to 500+ customers, and we need to bring on Senior/Staff ML Operations Engineer at EvenUp due to our exciting growth. As part of our Infrastructure Engineering team, we’re looking for someone to help enable us to develop, deploy, and maintain machine learning models efficiently, fostering innovation, scalability, and responsiveness to market dynamics.
What you'll do:
Help us democratize data at EvenUp. Ensure our organization can scale with consistent, standardized access to our data stores and accelerate our ability to build and experiment with data products
Architect and build out the future of data models design and delivery at EvenUp
Enable and empower our Data Science team to rapidly iterate on model experimentation
Design, organize and refine data storage strategies that reduce development friction for our tech organization
Collaborate with cross-functional teams to solve critical data problems
Continuous evaluation of models using metrics
You may be a fit for this role if you have:
8+ years of engineering experience
Previous experience building out automated data warehousing, data pipelines, and internal analytics in a production environment
Strong understanding and practical experience with data tooling, BI tools, and systems such as DBT, BigQuery, and Elasticsearch
The ability to communicate cross-functionally with various stakeholders to derive requirements and architect scalable solutions
Have several years of industry experience building high-quality software by creating production-ready code and infrastructure
You enjoy owning a project from start to finish and love to drive a project across the finish line.
Interest in making the world a fairer place (we don’t get paid unless we’re helping injured victims and/or their attorneys)
Knowledge of data pipelines and ETL (Extract, Transform, Load) processes
Familiarity with monitoring tools and frameworks used in MLOps, such as Prometheus, Grafana, or TensorBoard
Nice to haves:
Have previously planned and architected data migrations at scale
Have stood up analytics tooling to enable cross-functional teams
Domain expertise in legal technology, medical records, and working with unstructured data
Experience working with sensitive data and data anonymization
Benefits & Perks:
We seek to empower all of our team members to fulfill our mission of making the world a more just place, regardless of our team’s function, geography, or experience level. To that end, we offer:
Fully remote setup - work from wherever you feel is best (Plus a stipend to upgrade your home office)
Flexible working hours to match your style
Offsites - get to meet your coworkers on a fully-expensed trip every 6-12 months
Choice of great medical, dental, and vision insurance plan options
Flexible paid time off
A variety of virtual team events such as game nights & happy hours
EvenUp is an equal-opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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