Principal Machine Learning Engineer
hims & hers
PythonPyTorch
Staff Machine Learning Engineer, LLMs and Document AI
EvenUp
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $215,000 - $323,000 per year
Job Level
Lead
Tech Stack
Python
About the role
- EvenUp mission: close the justice gap using technology and AI, enabling law firms to secure faster settlements and better outcomes for victims
- Hybrid Staff Machine Learning Engineer role focused on LLMs and Document AI for legal and medical text
- Develop advanced document AI models for entity/relationship extraction, document structure understanding, information retrieval and reasoning
- Conduct hands-on data analysis to ensure high-quality training and evaluation datasets; manage outliers, mislabeled data, edge cases, noise, and drift
- Solve long-context and multi-document reasoning challenges; reduce hallucinations and improve factual consistency
- Lead LLM fine-tuning using reinforcement learning with verifiable reward signals and parameter-efficient techniques (LoRA, QLoRA)
- Mentor and guide ML engineers and data scientists; collaborate with product, engineering, and legal experts
- Expectation to work at least 3 days a week from San Francisco or Toronto hubs
Requirements
- 10+ years of experience in machine learning with multiple models deployed in operational settings
- PhD in Machine Learning, Computer Science, or other quantitative fields
- Strong proficiency with the latest Large Language Model (LLM) technologies
- Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization
- Strong communication, collaboration, and coaching skills
- High proficiency in a procedural programming language (e.g. Python)
- Ability to translate and apply cutting edge research into practical solutions
- Strong leadership and mentorship abilities, with a passion for guiding and developing other team members
