Early Career Machine Learning Engineer
Description For Early Career Machine Learning Engineer
EvenUp, a rapidly growing generative AI startup, is revolutionizing the personal injury legal sector with their proprietary claims-intelligence platform, Piai™. They're seeking an early career Machine Learning Engineer to join their AI R&D team in either Toronto or San Francisco. The role offers a unique opportunity to develop and deploy ML models that directly impact justice for personal injury clients.
The position combines cutting-edge AI work with meaningful social impact, focusing on machine learning, NLP, and generative AI applications in the legal domain. You'll work alongside senior ML engineers and legal experts, transforming raw legal and medical data into production-ready models. The role involves everything from model research and prototyping to data preparation and production deployment.
The ideal candidate should have advanced education in Computer Science or related fields, strong ML fundamentals, and hands-on experience with NLP and generative AI techniques. Technical proficiency in Python, ML libraries, and SQL is essential. The company offers comprehensive benefits including health insurance, flexible PTO, 401(k), and unique perks like a sabbatical program.
Backed by top VCs including Bessemer Venture Partners and Bain Capital Ventures, EvenUp represents an opportunity to join a well-funded startup making real-world impact in the legal tech space. The hybrid work environment and presence in major tech hubs (San Francisco and Toronto) provide flexibility while maintaining collaborative opportunities.
Responsibilities For Early Career Machine Learning Engineer
- Explore, implement, and benchmark ML/NLP/generative-AI methods
- Clean, annotate, and transform structured and unstructured case data
- Design experiments, run A/B tests, analyze results
- Help integrate models into microservices architecture
- Collaborate with cross-functional teams
- Stay current with research in LLMs and share insights
Requirements For Early Career Machine Learning Engineer
- Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or related field
- Solid grounding in machine-learning fundamentals
- Hands-on experience with NLP or generative-AI techniques
- Proficiency in Python and ML/NLP libraries
- Familiarity with SQL and basic data-engineering concepts
- Clear, concise communication skills
- Strong analytical thinking
Benefits For Early Career Machine Learning Engineer
- Medical, dental, and vision insurance
- Flexible paid time off
- 10 US observed holidays and Canadian statutory holidays
- Home office stipend
- 401(k) for US-based employees
- Paid parental leave
- Sabbatical program
- Meet-up program
- Offices in San Francisco, Los Angeles, and Toronto
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