This role focuses on defining what to build and why by leveraging machine learning, NLP, and large language models to solve complex legal workflows
Job Summary
This role focuses on defining what to build and why by leveraging machine learning, NLP, and large language models to solve complex legal workflows.
The successful candidate will lead experimentation, model development, and evaluation while partnering closely with engineers to translate validated approaches into scalable solutions.
Candidates are expected to mentor team members and provide technical leadership in data science and AI within a global organization serving over 150 countries.
Matching Summary
This role focuses on defining what to build and why by leveraging machine learning, NLP, and large language models to solve complex legal workflows.
Salary
Base: $115,400 - $192,300; Bonus/Equity: Eligible for annual incentive bonus; Benefits: Country specific benefits offered
Skills & Requirements
Must-have
Machine learning and NLP modeling
Generative AI and LLM techniques
Agentic workflow design with LangChain
Hybrid search retrieval strategies
Python programming proficiency
Nice-to-have
Mentoring team members
Legal domain expertise
Cross-functional collaboration skills
Strategic product recommendation abilities
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Proven experience designing agentic workflows using frameworks like AutoGen
Hands-on experience applying agent frameworks in real-world use cases