Staff Machine Learning Engineer - job 1 of 2

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.

At EvenUp, we leverage the power of technology to bring fairness and accessibility to the legal system. Large language models (LLMs) are a new type of intelligence and represent an important part of our technology strategy. To fully realize the potential of this technology, we recognize the need for a systematic, creative, and rigorous approach to instructing LLMs and evaluating their output.

With the field of prompt engineering still evolving, finding the right expertise can be a challenge. That's why we're seeking a Staff Machine Learning Engineer eager to join EvenUp's mission. Our interdisciplinary team - with backgrounds in industry as well as academic research in physics, ML, neuroscience, and more - hopes to foster an environment where we can systematically discover state of the art techniques and be the best in the world at applying them to the challenging problems we encounter in the legal domain. In fact, we already have a number of areas where we exceed the publicly known SOTA and this person will help us expand beyond.

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

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)

• Own technical roadmaps and work closely with engineers, product managers, and other stakeholders to integrate research findings into scalable, production-ready solutions.

• Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance.

• Act as a strategic advisor for leaders across the organization on driving business impact through machine learning.

• Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems.

• 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 look for:

• 10+ years of experience in machine learning with multiple models deployed in operational settings.

• PhD in Machine Learning, Computer Science, or other quantitive field.

• Strong proficiency with the latest Large Language Model (LLM) technologies.

• Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization.

• Strong communication, collaboration, and coaching skills.

• High proficiency in a procedural programming language (e.g. Python).

• Ability to translate and apply cutting edge research into practical solutions.

• Strong leadership and mentorship abilities, with a passion for guiding and developing other team members.

Job title and level to be determined based on candidate’s background.

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 [email protected] 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 [email protected]. 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.