Join to apply for the Senior Machine Learning Engineer role at EvenUpJoin to apply for the Senior Machine Learning Engineer role at EvenUpThis range is provided by EvenUp. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$147,000.00/yr - $265,000.00/yrEvenUp 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’re on a mission to level the playing field in legal disputes—and Machine Learning is at the heart of how we do it. Our ML team builds state-of-the-art systems in Document AI, generative AI, and retrieval systems to deliver transformative outcomes for personal injury victims.As a Senior Machine Learning Engineer, you'll lead high-impact initiatives across model development, deployment, and research-to-production workflows. You’ll work with a proprietary legal dataset, partner closely with legal domain experts, and shape the next generation of AI systems in one of the most meaningful application domains for AI.What you’ll do:Design, build, and optimize Document AI systems that understand and reason over complex legal and medical documentsLead development in:Information Extraction: entity recognition, relationship extraction, structure parsing using both classical and LLM-based methodsInformation Retrieval: semantic search, hybrid retrieval, learning-to-rank models RAG Systems: advanced prompting (chain-of-thought, self-consistency), multi-hop reasoningLLM Adaptation: instruction fine-tuning, parameter-efficient techniques (LoRA/QLoRA), and domain adaptationTranslate ambiguous product requirements into scalable, production-grade ML systems Mentor junior MLEs and contribute to best practices across modeling, experimentation, and deploymentPartner with cross-functional teams including legal SMEs, product managers, and software engineers to iterate quickly and deliver business valueWhat we’re looking for:We value depth, ownership, and a desire to push boundaries in applied ML. You should be excited to take initiative on problems that don't have clear answers.Qualifications:5+ years of experience in applied machine learning or data scienceMS or PhD in CS, ECE, Statistics, or related field with a research focus in ML / NLP / Generative AI.Strong background in NLP and model development with LLMs or transformer-based architectures Proficiency in Python and frameworks like PyTorch or TensorFlowExperience with at least some of the following:Production ML systems and pipelinesRetrieval and RAG system designPrompt engineering & LLM context optimizationLLM fine-tuning (LoRA, QLoRA, instruction tuning)Vector stores, semantic search, and embeddingsModel evaluation, A/B testing, and offline experimentationKnowledge graphs and structured data integrationDistributed data processing (Spark, Ray, etc.)Bonus:Experience mentoring junior engineers or leading technical projects Experience working with legal, financial, or healthcare datasetsWhy EvenUp:Help build technology that drives fairer legal outcomesWork at the forefront of applied ML and generative AI Collaborate with world-class engineers, product leaders, and legal experts Join a fast-growing Series D company backed by top investors (including Bessemer, Bain, and Index Ventures)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 familyAdditional insurance coverage options for life, accident, or critical illnessFlexible paid time off, sick leave, short-term and long-term disability10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employees and RRSP for Canada-based employeesPaid parental leaveA local in-person meet-up programHubs in San Francisco and TorontoPlease note the above benefits & perks are for full-time employeesEvenUp 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.Compensation Range: $147K - $265KSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesTechnology, Information and InternetReferrals increase your chances of interviewing at EvenUp by 2xSign in to set job alerts for “Senior Machine Learning Engineer” roles.Senior Machine Learning Engineer - Data Gen AI teamSan Francisco, CA $138,900.00-$203,900.00 1 month agoSan Francisco, CA $159,300.00-$230,300.00 2 weeks agoSan Francisco, CA $183,700.00-$248,600.00 3 days agoSan Francisco, CA $180,000.00-$230,000.00 6 months agoSan Francisco, CA $180,000.00-$210,000.00 5 days agoSan Francisco, CA $198,000.00-$220,000.00 2 weeks agoSan Francisco, CA $192,000.00-$253,000.00 3 days agoSan Francisco, CA $198,000.00-$220,000.00 2 weeks agoSenior Machine Learning Engineer - Marketplace PricingSan Francisco, CA $198,000.00-$220,000.00 1 month agoSenior Staff Machine Learning Engineer, Communication & ConnectivityUnited States $244,000.00-$305,000.00 2 weeks agoSenior Machine Learning Engineer - Data Gen AI teamSan Francisco, CA $198,000.00-$220,000.00 6 days agoSenior Machine Learning Engineer - ETA & RoutingSan Francisco, CA $198,000.00-$220,000.00 2 weeks agoSan Francisco, CA $182,700.00-$264,375.00 2 weeks agoSenior Machine Learning Research Scientist / Senior Machine Learning EngineerSan Francisco, CA $100,000.00-$150,000.00 1 month agoSan Francisco, CA $149,000.00-$240,000.00 1 month agoFoster City, CA $197,000.00-$252,000.00 1 week agoSenior Machine Learning Engineer, PredictionSan Francisco, CA $204,000.00-$259,000.00 2 weeks agoSenior Machine Learning Engineer, NLU & Agentic AISan Francisco, CA $150,000.00-$275,000.00 1 month agoSenior Machine Learning Engineer, AI InsightsSan Francisco, CA $106,200.00-$210,000.00 6 hours agoSenior Machine Learning Engineer, RecommendationsSan Francisco, CA $200,000.00-$250,000.00 3 weeks agoSan Francisco, CA $241,200.00-$348,975.00 4 days agoSenior Software Engineer - Machine LearningRedwood City, CA $160,000.00-$206,000.00 1 week agoSenior Machine Learning Engineer, Ads, Search, and DiscoverySan Mateo, CA $255,200.00-$306,830.00 1 month agoSenior Software Engineer, Feed & PersonalizationWe’re unlocking community knowledge in a new way. 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