Responsibilities
- Discover use cases where machine learning can drive measurable benefits for users
- Translate product challenges into well-defined machine learning problems
- Collaborate with team members, product managers, and designers
- Perform exploratory data analysis to uncover insights and patterns
- Gain thorough understanding of the domain and user needs
- Investigate and select suitable algorithms and technologies
- Balance practical solutions with innovation, including adoption of advanced techniques when justified
- Evaluate models offline to validate effectiveness before deployment
- Partner with engineering teams to transition prototypes into scalable systems
- Design experiments, track outcomes, and share findings to guide improvements
- Work closely with cross-functional teams to deliver high-quality machine learning products
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid or remote options available
Team
Part of a dedicated AI research and applied science team focused on real-world product impact
Responsibilities
- Identify areas where ML can create value for our customers
- Identify the right ML framing of product problems
- Working with teammates and Product and Design stakeholders
- Conduct exploratory data analysis and research
- Deeply understand the problem area
- Research and identify the right algorithms and tools
- Being pragmatic, but innovating right to the cutting-edge when needed
- Perform offline evaluation to gather evidence an algorithm will work
- Work with engineers to bring prototypes to production
- Plan, measure & socialize learnings to inform iteration
- Partner deeply with the rest of team, and others, to build excellent ML products
Available for qualified candidates
