Machine Learning Engineer 1 2 - Systems

EvenUp Inc.

United States

United States

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À propos

divh2Data Scientist / Machine Learning Engineer/h2pEvenUp 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./ppWe 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./ppWe are looking for a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join our AI RD team. Youll develop and deploy models that power Piai, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, youll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients./ppstrongWhat Youll Do:/strong/pullipstrongModel Research Prototyping/strong Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding)./p/lilipstrongData Preparation Feature Engineering/strong Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders./p/lilipstrongExperimentation Workflow/strong Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams./p/lilipstrongProductionization/strong Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling./p/lilipstrongCross-Functional Collaboration/strong Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements./p/lilipstrongContinuous Learning/strong Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs./p/li/ulh2strongWhat We Look For:/strong/h2ullipstrongEducation:/strong Ph.D., M.S. or B.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field/p/lilipstrongCore Expertise:/strong/p ullipSolid grounding in machine-learning fundamentals (supervised unsupervised learning, evaluation metrics, overfitting/regularization)./p/lilipHands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs)./p/li/ul/lilipstrongTechnical Stack:/strong/p ullipProficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar./p/lilipFamiliarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks)./p/lilipNice-to-have: exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights Biases, MLflow), or containerized deployment (Docker/Kubernetes)./p/li/ul/lilipstrongMindset People Skills:/strong/p ullipEagerness to learn from senior teammates and iterate quickly in a fast-moving startup./p/lilipClear, concise communicationboth written and verbal./p/lilipStrong analytical thinking and a bias toward shipping pragmatic, high-impact solutions./p/li/ul/li/ulh2strongLocation:/strong Hybrid We Have Offices in San Francisco and Toronto/h2pstrongNotice to Candidates:/strong/ppEvenUp 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 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, no-reply@ashbyhq.com or no-reply@canditech.io email addresses./ppTo 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 careers page./ppemIf 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/ppstrongBenefits Perks:/strong/ppAs part of our total rewards package, we offer attractive benefits and perks to our employees, including:/pullipChoice of medical, dental, and vision insurance plans for you and your family/p/lilipAdditional insurance coverage options for life, accident, or critical illness/p/lilipFlexible paid time off, sick leave, short-term and long-term disability/p/lilip10 US observed holidays, and Canadian statutory holidays by province/p/lilipA home office stipend/p/lilip401(k) for US-based employees and RRSP for Canada-based employees/p/lilipPaid parental leave/p/lilipA local in-person meet-up program/p/lilipHubs in San Francisco and Toronto/p/li/ulpemPlease note the above benefits perks are for full-time employees/em/ppemEvenUp 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/div

United States

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English

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