Principal Machine Learning Scientist
About the role
The Principal Machine Learning Research Scientist helps lead and shape the strategic direction of DISCO’s machine learning and AI research initiatives. They are a seasoned researcher with a proven track record in impactful research, innovation, and leadership. They drive the development of advanced algorithms, optimize research processes, and collaborate across teams to have a meaningful impact on industry challenges. DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Responsibilities
- Leads impactful machine learning research projects.
- Drives innovation in algorithm development and methodologies.
- Provides strategic direction for the organization's research agenda.
- Optimizes research processes, workflows, and resource allocation.
- Manages large-scale research programs and oversees multiple projects and teams.
- Ensures the successful execution of complex research initiatives.
- Collaborates effectively with cross-functional teams and external partners.
- Engages with industry stakeholders to understand and address real-world challenges.
- Drives the application of machine learning solutions to have a meaningful impact on industry.
- Develops and executes strategic plans for the organization's research initiatives.
- Contributes to the development and implementation of long-term research strategies.
- Actively participates in the broader research community.
- Mentors and provides guidance to junior and mid-level researchers.
- Leads and manages research teams, fostering a culture of knowledge-sharing and innovation.
- Contributes to the professional development of team members.
Requirements
- 12 to 15+ years