Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Company: EvenUp Job Category: Machine Learning Roles & Responsibilities: At 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. * Design, build, and own production ML systems across the full lifecycle \- problem framing, data strategy, training, evaluation, deployment, and monitoring. * Architect scalable data pipelines that handle structured, unstructured, and embeddings\-based data for training and inference. * Build reusable frameworks and infrastructure for model development, evaluation, and benchmarking. * Partner with data scientists and product managers to translate ambiguous business problems into concrete ML system designs. * Apply and productionize state\-of\-the\-art techniques across NLP, information retrieval, and generative AI where the problem calls for it. * Define and implement evaluation strategies \- quality metrics, human\-in\-the\-loop review, automated benchmarks \- to ensure model reliability. * Drive scalability and efficiency across ML workflows, from large\-scale data processing to real\-time inference. * Work with ML platform engineers to integrate models and frameworks into production environments. * Document system architectures and establish best practices that other engineers build on. * Mentor other engineers and contribute technical judgment to hiring and calibration as the team grows. Work Location: Toronto, Ontario, Canada Availability: Full time

* 5\+ years building and deploying machine learning systems in production. * Strong software engineering fundamentals \- Python, distributed systems, API design. * Experience owning the full ML lifecycle, not just model training in isolation. * A track record of turning ambiguous problems into scoped, shippable solutions. * Experience mentoring other engineers and influencing technical direction beyond your own code. * Ability to work hybrid (3 days your choice) in our San Francisco or Toronto Canada office. * Experience with NLP, LLMs, or generative AI \- embeddings, fine\-tuning (LoRA or other PEFT), or prompt engineering. * Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch) or orchestration frameworks (LangChain, LlamaIndex). * Experience with evaluation methodologies for generative AI \- RAG benchmarks, hallucination reduction, factual grounding. * Experience in a high\-growth startup environment. * Background in legal tech, healthcare, or other high\-stakes, regulated domains. Benefits \& Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: (Please note the above benefits \& perks are for full\-time employees)* Notice to Candidates:* 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* .* Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.* 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.* Compensation Range: $170K \- $250K Key Skills: Machine Learning, Python, Model Training, NLP Salary: USD 170000 - 250000 per yearly