What You Will Do
- Design, develop, and productionize machine learning (ML) solutions with optimization engines.
- Productionize and deploy these models for real-world application.
- Review code and designs of teammates, providing constructive feedback.
- Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.
- Mentor junior engineers.
Basic Qualifications
- Bachelors (or higher) in Computer Science, Statistics, or a related field.
- Experience with ML packages such as Tensorflow, PyTorch, JAX, Scikit-Learn, etc.
Preferred Qualifications
- 5+ years of experience in industry with a strong focus on machine learning and optimization.
- Experience in modern deep learning architectures and probabilistic models.
- Solid understanding of statistical analysis and feature engineering techniques.
- Experience in optimization (RL / Bayes / Bandits) and online learning.
- Experience working in a fast-paced, agile environment.
- Excellent communication and collaboration skills.
- Ability to work independently and take ownership of projects.
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.