Senior Machine Learning Engineer

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 documents
• Lead development in:
• Information Extraction: entity recognition, relationship extraction, structure parsing using both classical and LLM-based methods
• Information Retrieval: semantic search, hybrid retrieval, learning-to-rank models
• RAG Systems: advanced prompting (chain-of-thought, self-consistency), multi-hop reasoning
• LLM Adaptation: instruction fine-tuning, parameter-efficient techniques (LoRA/QLoRA), and domain adaptation
• Translate ambiguous product requirements into scalable, production-grade ML systems
• Mentor junior MLEs and contribute to best practices across modeling, experimentation, and deployment
• Partner with cross-functional teams including legal SMEs, product managers, and software engineers to iterate quickly and deliver business value

What 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 science
• MS 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 TensorFlow
• Experience with at least some of the following:
• Production ML systems and pipelines
• Retrieval and RAG system design
• Prompt engineering & LLM context optimization
• LLM fine-tuning (LoRA, QLoRA, instruction tuning)
• Vector stores, semantic search, and embeddings
• Model evaluation, A/B testing, and offline experimentation
• Knowledge graphs and structured data integration
• Distributed data processing (Spark, Ray, etc.)

Bonus:

• Experience mentoring junior engineers or leading technical projects
• Experience working with legal, financial, or healthcare datasets

Why EvenUp:

• Help build technology that drives fairer legal outcomes
• Work 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)

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.