It's fun to work at a company where people truly believe in what they are doing!
Job Description:
Job Summary: We are seeking an experienced AI/ML Engineer to build intelligent features and data-driven solutions for legal discovery applications using the Relativity platform. This role involves designing and implementing AI-powered systems for legal document analysis, leveraging natural language processing (NLP), classification models, and custom APIs to enhance legal review and eDiscovery workflows.
Essential Job Responsibilities:
- Design and develop AI-driven features that integrate with the Relativity platform (via REST, Kepler, and Processing APIs).
- Build machine learning models for classification, clustering, predictive coding, and NLP tasks in the legal domain.
- Develop scalable extensions and custom applications within the Relativity ecosystem.
- Collaborate closely with legal tech product managers, data scientists, and software engineers.
- Ensure security, compliance, and ethical standards are met in all AI development.
- Build internal tools and SDKs to speed up future AI and Relativity development.
- Monitor and optimize performance and accuracy of deployed models and systems.
Qualifications & Characteristics:
- 4+ years of experience in AI/ML engineering or data science roles.
- Strong background in Python, NLP libraries (spaCy, NLTK, Hugging Face), and ML frameworks (scikit-learn, TensorFlow, or PyTorch).
- Experience working with Relativity APIs and custom app development.
- Understanding of TAR (Technology-Assisted Review) and legal domain data.
- Familiarity with Elasticsearch, Azure Cognitive Services, or similar.
- Passion for legal innovation and using AI to streamline eDiscovery workflows.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
