Machine Learning Engineer

AI startup focused on leveling the playing field for personal injury victims through innovative legal technology solutions.
Machine Learning
Mid-Level Software Engineer
Hybrid
3+ years of experience
AI · Healthcare · Enterprise SaaS

Description For Machine Learning Engineer

EvenUp is a pioneering generative AI startup revolutionizing the personal injury legal sector. As a Machine Learning Engineer, you'll be at the forefront of developing cutting-edge Document AI systems that transform how legal cases are handled. The role combines advanced ML techniques with real-world impact, working on everything from information extraction to RAG systems. You'll be part of a mission-driven company backed by top VCs like Bessemer and Bain Capital, working with a proprietary dataset to solve complex legal and medical document processing challenges. The position offers a hybrid work environment in either San Francisco, Los Angeles, or Toronto, with comprehensive benefits and the opportunity to make a tangible difference in injury victims' lives. The ideal candidate brings 3+ years of ML experience and strong technical skills, ready to tackle challenging problems at the intersection of AI and legal technology. This is a unique opportunity to advance ML technologies while contributing to meaningful social impact in the legal justice system.

Last updated a month ago

Responsibilities For Machine Learning Engineer

  • Pioneer cutting-edge Document AI systems
  • Implement and advance technologies in Information Extraction
  • Develop Information Retrieval systems
  • Design and manage Data Management systems
  • Work on RAG (Retrieval-Augmented Generation) with advanced techniques
  • Collaborate with domain experts and cross-functional teams
  • Create tools for data-driven decisions
  • Mentor junior team members

Requirements For Machine Learning Engineer

Python
  • 3+ years of experience in machine learning, data science, or similar technical role
  • Strong software engineering fundamentals and proficiency in Python
  • Expertise in classical ML techniques
  • Experience with deep learning frameworks (PyTorch, TensorFlow)
  • Natural language processing and information extraction skills
  • Experience with LLM fine-tuning and RAG system design
  • Knowledge of vector databases and embedding techniques
  • Excellent communication skills
  • Sound judgment in balancing technical tradeoffs with business needs

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Choice of medical, dental, and vision insurance plans
  • Flexible paid time off
  • 10 US observed holidays and Canadian statutory holidays
  • Home office stipend
  • 401(k) for US-based employees
  • Paid parental leave
  • Sabbatical program
  • Meet-up program
  • Offices in San Francisco, Los Angeles, and Toronto

Interested in this job?

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