Principal Machine Learning Engineer

This range is provided by Even Up. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Even Up is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest‑growing vertical SaaS companies in history, and we are just getting started. Even Up is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, Signal Fire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn .

About the team

At Even Up, we leverage the power of technology to bring fairness and accessibility to the legal system. Large language models (LLMs) and generative AI are the foundation of our technology strategy, especially in Document AI: the ability to deeply understand, reason across, and generate legal and medical documents s is one of the largest opportunities in applied AI, and one of the most impactful.

What you’ll do

• Help define and drive the technical vision at Even Up, identifying the most impactful opportunities in generative AI and ensuring the company remains at the forefront of the rapidly evolving Document AI landscape.

• Invent and deliver the next generation of Document AI and Conversational AI, enabling robust understanding, reasoning, and generation across diverse legal and medical documents, as well as natural, accurate, and context‑aware interactions with users through conversational interfaces.

• Lead research‑to‑production innovation in:
- Information Extraction & Reasoning: scalable multi‑document entity/relation extraction, knowledge graph construction, and long‑context reasoning.
- Generative Workflows: producing reliable, high‑quality legal and medical documents with deep structural and semantic fidelity.
- Conversational AI: building advanced dialogue systems that empower legal professionals to interact with our platform, retrieve insights, and generate documents through natural language conversations.
- Retrieval‑Augmented Generation (RAG): multi‑hop retrieval, reasoning chains, and verifiable generation at scale.
- Evaluation & Trust: systematic benchmarking, reliability, factuality, and risk assessment of LLMs in high‑stakes legal and medical domains.
- Efficient Training & Adaptation: parameter‑efficient fine‑tuning, distillation, multi‑modal integration, and domain‑specific pretraining strategies.

• Shape Even Up’s ML strategy and technical roadmap, working hand‑in‑hand with product, engineering, and leadership to ensure our Document AI capabilities directly drive company growth and customer impact.

• Act as a company‑wide thought leader in generative AI, providing strategic advice to executives and influencing not just what we build, but how we prioritize and compete.

• Mentor and elevate the entire ML organization, fostering a culture of deep technical rigor, creativity, and excellence.

What we look for

• 12+ years of experience in machine learning, with a proven record of shipping multiple systems at scale and advancing the state of the art.

• PhD in Machine Learning, Computer Science, or related quantitative field, or equivalent experience demonstrating mastery.

• Recognized expertise in large‑scale ML and LLMs, with strong publication, patent, or open‑source contributions a plus.

• Ability to define and drive a technical vision that aligns with company strategy, even under uncertainty.

• Strong track record of innovation in deep learning, generative models, reinforcement learning, or probabilistic methods, with direct impact on real‑world systems.

• Hands‑on mastery of modern ML tool chains and programming (Python, PyTorch, Tensor Flow, distributed training, large‑scale data systems).

• Exceptional ability to translate cutting‑edge research into robust, practical solutions that move the needle for customers.

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