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Staff Machine Learning Engineer

EvenUp empowers personal injury lawyers and victims using technology and AI to secure faster settlements and better outcomes for injury victims.
Machine Learning
Staff Software Engineer
Hybrid
10+ years of experience
AI · Enterprise SaaS · Legal Tech
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Description For Staff Machine Learning Engineer

EvenUp is revolutionizing the legal tech space by leveraging AI and technology to bridge the justice gap. As a Staff Machine Learning Engineer, you'll be at the forefront of developing cutting-edge Document AI systems and Large Language Model applications. The role combines deep technical expertise with strategic leadership, focusing on building next-generation models for complex legal and medical document processing.

The position offers a unique opportunity to work with an interdisciplinary team of experts from various backgrounds including physics, ML, and neuroscience. You'll be pioneering advanced techniques in information extraction, retrieval, and processing, while working with state-of-the-art LLM technologies. The role requires both technical excellence and leadership skills, as you'll be guiding a team of data scientists and ML engineers.

EvenUp, backed by prestigious VCs like Bessemer Venture Partners and Bain Capital Ventures, is one of the fastest-growing vertical SaaS companies. The company offers a comprehensive benefits package and maintains a hybrid work environment with hubs in San Francisco and Toronto. This is an excellent opportunity for someone who wants to make a meaningful impact in the legal tech space while working with cutting-edge AI technology.

The ideal candidate will bring 10+ years of ML experience, a PhD in a relevant field, and a proven track record of deploying operational ML models. You'll be working in a hybrid setting (minimum 3 days in office) with a talented team focused on pushing the boundaries of what's possible in legal tech through AI innovation.

Last updated 9 days ago

Responsibilities For Staff Machine Learning Engineer

  • Pioneer cutting-edge Document AI systems
  • Implement technologies in Information Extraction, Information Retrieval, and Data Management
  • Own technical roadmaps and integrate research into production-ready solutions
  • Set team best practices for prompting experimentation and development
  • Act as strategic advisor for machine learning impact
  • Provide technical leadership and mentorship
  • Collaborate with domain experts and product managers
  • Create tools for data-driven decisions
  • Mentor junior team members

Requirements For Staff Machine Learning Engineer

Python
  • 10+ years of experience in machine learning with deployed models
  • PhD in Machine Learning, Computer Science, or other quantitive field
  • Strong proficiency with Large Language Model (LLM) technologies
  • Expertise in machine learning areas like deep learning, reinforcement learning
  • Strong communication, collaboration, and coaching skills
  • High proficiency in Python or similar programming languages
  • Ability to translate research into practical solutions
  • Strong leadership and mentorship abilities

Benefits For Staff Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Choice of medical, dental, and vision insurance plans
  • Life, accident, and critical illness insurance options
  • Flexible paid time off and sick leave
  • 10 US observed holidays and Canadian statutory holidays
  • Home office stipend
  • 401(k) for US employees and RRSP for Canada employees
  • Paid parental leave
  • Local in-person meet-up program
  • Office hubs in San Francisco and Toronto