15 days ago
Responsibilities
- Hire, mentor, and support the career development of other engineers.
- Serve as a primary technical leader for a team and raise standards for technical quality, performance, reliability, and operational excellence.
- Identify opportunities where machine learning can create customer value and frame product problems appropriately.
- Conduct exploratory data analysis and research to understand problem areas.
- Research algorithms and tools, balancing pragmatic solutions with cutting-edge innovation.
- Perform offline evaluations to assess algorithm performance.
- Partner with engineers to bring prototypes into production.
- Plan, measure, and communicate learnings to guide product iteration.
- Collaborate with Product, Design, and engineering teams to build effective ML products.
Requirements
- 5–8 years of applied machine learning experience.
- Previous experience in a senior or staff role in data science, software development, or academia.
- Significant demonstrated impact on products or teams.
- Strong programming skills and communication skills.
- Experience serving as the primary technical leader for a team.
- Typically advanced education in machine learning or a related field, such as an MSc.
- Scientific thinking skills and comfort with ambiguity.
Benefits
- Benefits and programs support health and wellbeing, family needs, time away from work, and financial wellbeing, with offerings varying by location.
- Hybrid work policy with at least three days per week in the office.
- Equal Employment Opportunity and a diverse, accepting workplace culture.
Tech Stack
MatplotlibSQL
Categories
About Intercom
We’re Intercom — the AI customer service company helping businesses deliver incredible customer experiences at scale. Our platform combines Fin, the #1 AI Agent for customer service, with our next-generation Helpdesk, a modern workspace that gives support teams the power, speed and intelligence they need.