Machine Learning Engineer

EvenUp 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. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

Why we are hiring a Machine Learning Engineer:

At EvenUp, the Machine Learning Team is pivotal in leveling the playing field in legal disputes. We tackle challenging problems at the intersection of ML, information retrieval, and generative AI to create meaningful impact for plaintiffs and attorneys. As a Machine Learning Engineer, you will contribute to building scalable, innovative solutions in the domain of Document AI, working on complex legal data and leveraging cutting-edge techniques to deliver actionable insights and transformative results.

This role provides a unique opportunity to work with a proprietary dataset, solve high-impact problems, and see your contributions lead to real-world justice.

This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.

What you'll do:

• Pioneer cutting-edge Document AI systems at the forefront of generative AI innovation, building next-generation models that go beyond traditional document processing to achieve human-level understanding of complex legal and medical documents, intelligently extract key entities and relationships, perform sophisticated multi-document reasoning, and generate contextually-aware documents that transform business workflows.

• Implement and advance technologies in:

  • Information Extraction (using traditional ML, LLMs, and multi-modal LLMs for entity recognition, relationship extraction, and document structure understanding)

  • Information Retrieval (query understanding, semantic search, hybrid retrieval architectures, and learning-to-rank models)

  • Data Management (schema design, knowledge graphs, distributed data pipelines, and petabyte-scale processing)

  • RAG (Retrieval-Augmented Generation) with advanced techniques like multi-hop reasoning, chain-of-thought prompting, and self-consistency checks

  • Prompt Engineering (few-shot learning, instruction tuning, and context window optimization)

  • LLM fine-tuning (parameter-efficient techniques like LoRA/QLoRA, instruction fine-tuning, and domain adaptation)

• Collaborate with domain experts (legal, healthcare, etc), product managers, and engineers to translate insights into robust machine learning systems.

• Create tools that empower internal teams and clients to make data-driven decisions.

• Mentor junior team members, promoting a culture of excellence and collaboration.

What We Are Looking For:
We recognize the breadth of skills required and do not expect candidates to have experience in all areas. We seek talent with a strong foundation in machine learning, information retrieval, or data management, with particular interest in LLM and generative AI technologies.

• 3+ years of experience in machine learning, data science, or similar technical role

• Strong software engineering fundamentals and proficiency in Python

• Demonstrated expertise in:

  • Classical ML techniques (regression, classification, clustering)

  • Deep learning frameworks (PyTorch, TensorFlow)

  • Natural language processing and information extraction

  • Large language models and prompt engineering

  • RAG system design and implementation

  • Advanced RAG techniques (multi-hop reasoning, self-consistency)

  • Vector databases and embedding techniques

  • Model evaluation and validation methods

• Experience with:

  • LLM fine-tuning (LoRA, QLoRA, instruction tuning)

  • Knowledge graph construction and reasoning

  • Production ML system deployment

  • Distributed computing and data processing

• Excellent communication skills with ability to:

  • Explain complex technical concepts clearly

  • Collaborate effectively with cross-functional teams

  • Write clear technical documentation

• Sound judgment in balancing technical tradeoffs with business needs

Why Join EvenUp:

• Be part of a mission-driven company making a tangible impact in the lives of injury victims.

• Work at the cutting edge of Document AI, tackling challenging ML and data problems.

• Collaborate with a diverse team of experts from top tech, legal, and investment firms.

• Grow with a rapidly scaling company backed by world-class investors and thought leaders.

If you’re passionate about solving meaningful problems, advancing ML technologies, and making a difference, we’d love to hear from you!

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

• Choice of medical, dental, and vision insurance plans for you and your family

• Additional insurance coverage options for life, accident, or critical illness

• Flexible paid time off, sick leave, short-term and long-term disability

• 10 US observed holidays, and Canadian statutory holidays by province

• A home office stipend

• 401(k) for US-based employees and RRSP for Canada-based employees

• Paid parental leave

• A local in-person meet-up program

• Hubs in San Francisco and Toronto

Please note the above benefits & perks are for full-time employees

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.