Senior Machine Learning Engineer - LLMs Document AI

EvenUp Inc.

United States

United States

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p style=min-height:1.5emEvenUp 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./pp style=min-height:1.5emWe 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 a target=_blank rel=noopener noreferrer nofollow href=http://www.evenuplaw.comuwww.evenuplaw.com/u/a./pp style=min-height:1.5em/pp style=min-height:1.5emAt EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation. Thats why were seeking a Senior Machine Learning Engineer eager to join EvenUps mission./pp style=min-height:1.5em/pp style=min-height:1.5emOur 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./pp style=min-height:1.5em/pp style=min-height:1.5emstrongThis 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./strong/pp style=min-height:1.5em/pp style=min-height:1.5emstrongWhat youll do/strong:/pul style=min-height:1.5emlip style=min-height:1.5emDevelop Advanced Document AI Models/pul style=min-height:1.5emlip style=min-height:1.5emDesign and refine ML models for entity/relationship extraction, document structure understanding, and sophisticated information retrieval and reasoning from legal and medical text./p/lilip style=min-height:1.5emConduct hands-on data analysis to ensure high-quality training and evaluation datasets, including identification and management of outliers, mislabeled data, edge cases, noise, and drift; work with data stakeholders to iteratively improve data quality./p/li/ul/lilip style=min-height:1.5emSolve Complex Modeling Challenges/pul style=min-height:1.5emlip style=min-height:1.5emTackle long-context and multi-document reasoning challenges, including prompt design, context segmentation, and aggregation of distributed facts./p/lilip style=min-height:1.5emDevelop strategies to reduce hallucinations, improve factual consistency, and handle ambiguous, noisy, or incomplete data./p/li/ul/lilip style=min-height:1.5emLead LLM Fine-tuning/pul style=min-height:1.5emlip style=min-height:1.5emApply reinforcement learning with verifiable reward signals to fine-tune LLMs for factual and extraction accuracy./p/lilip style=min-height:1.5emApply parameter-efficient fine-tuning (e.g., LoRA, QLoRA) to maximize model performance./p/lilip style=min-height:1.5emExperiment with and benchmark advanced prompt engineering techniques (few-shot, chain-of-thought, instruction tuning), balancing context length and extraction accuracy./p/li/ul/li/ulul style=min-height:1.5emlip style=min-height:1.5emProvide Leadership amp; Collaboration/pul style=min-height:1.5emlip style=min-height:1.5emContribute to a rigorous and creative modeling culture through peer code reviews, knowledge sharing, and technical discussions./p/lilip style=min-height:1.5emCollaborate with product, engineering, and legal experts to deliver robust, business-impactful solutions./p/lilip style=min-height:1.5emUphold best practices for experimentation, benchmarking, and documentation in modeling./p/li/ul/li/ulp style=min-height:1.5em/pp style=min-height:1.5emstrongWhat we look for/strong:/pul style=min-height:1.5emlip style=min-height:1.5em5+ years of experience in machine learning with multiple models deployed in operational settings./p/lilip style=min-height:1.5emMS or PhD in Machine Learning, Computer Science, or other quantitative fields./p/lilip style=min-height:1.5emStrong proficiency with the latest Large Language Model (LLM) technologies./p/lilip style=min-height:1.5emExpertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization./p/lilip style=min-height:1.5emStrong communication, and collaboration skills./p/lilip style=min-height:1.5emHigh proficiency in a procedural programming language (e.g. Python)./p/lilip style=min-height:1.5emAbility to translate and apply cutting edge research into practical solutions./p/li/ulp style=min-height:1.5em/pp style=min-height:1.5ememstrongJob title and level to be determined based on candidates background./strong/em/pp style=min-height:1.5em/pp style=min-height:1.5emstrongNotice to Candidates:/strong/pp style=min-height:1.5emEvenUp 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 (a target=_blank rel=noopener noreferrer nofollow href=http://evenuplaw.com/careersevenuplaw.com/careers/a) or reputable job boards like our official a target=_blank rel=noopener noreferrer class=c-link c-link--focus-visible href=https://www.linkedin.com/company/evenup/jobs/LinkedIn/a or a target=_blank rel=noopener noreferrer class=c-link c-link--focus-visible href=https://www.indeed.com/cmp/EvenupIndeed/a pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no?reply@canditech.io email addresses./pp style=min-height:1.5emTo ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If youre interested in a role, please submit your application directly through our a target=_blank rel=noopener noreferrer class=c-link c-link--focus-visible href=https://www.evenuplaw.com/careerscareers page/a./pp style=min-height:1.5ememIf 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./em/pp style=min-height:1.5em/pp style=min-height:1.5emstrongBenefits amp; Perks:/strong/pp style=min-height:1.5emAs part of our total rewards package, we offer attractive benefits and perks to our employees, including:/pul style=min-height:1.5emlip style=min-height:1.5emChoice of medical, dental, and vision insurance plans for you and your family/p/lilip style=min-height:1.5emAdditional insurance coverage options for life, accident, or critical illness/p/lilip style=min-height:1.5emFlexible paid time off, sick leave, short-term and long-term disability/p/lilip style=min-height:1.5em10 US observed holidays, and Canadian statutory holidays by province/p/lilip style=min-height:1.5emA home office stipend/p/lilip style=min-height:1.5em401(k) for US-based employees and RRSP for Canada-based employees/p/lilip style=min-height:1.5emPaid parental leave/p/lilip style=min-height:1.5emA local in-person meet-up program/p/lilip style=min-height:1.5emHubs in San Francisco and Toronto/p/li/ulp style=min-height:1.5ememPlease note the above benefits amp; perks are for full-time employees/em/pp style=min-height:1.5em/pp style=min-height:1.5ememEvenUp 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./em/p

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