About the Role
- - - - What the Candidate Will Do ----
- Innovate on ML + optimization solutions to solve high-impact business problems
- Productionise modeling solutions into scalable and robust systems
- Collaborate with cross-functional and cross-team stakeholders
- - - - Basic Qualifications ----
- Bachelor’s degree in Computer Science, Engineering, Mathematics or related field, with 5+ years of full-time engineering experience
- Programming language (e.g. C, C++, Java, Python, or Go)
- Experience with machine learning and optimization algorithms
- - - - Preferred Qualifications ----
- PhD in Computer Science, Engineering, Mathematics, Statistics or related field, with 2+ years of full-time engineering experience
- Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact
- Experience with large-scale training and data systems (e.g. Spark/Hive)
- Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, computation complexity, maintainability, and extensibility in production environments
For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.