Manager II – Machine Learning Engineering – Ads Ranking
| Company | |
|---|---|
| Location | Palo Alto, CA, USA, Seattle, WA, USA, San Francisco, CA, USA |
| Salary | $208145 – $364254 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.
- 6+ years of industry experience in building production machine learning systems at scale, data mining, search, recommendations, with related background in recommender systems, ranking/retrieval or representation learning domains
- 1-2 years of experience managing engineering teams as a TLM or EM cross-functional collaborator and strong communicator
- Hands-on experience with large-scale online ranking/recommendation systems.
Responsibilities
- Manage and grow the engineering team, providing technical vision and long-term roadmap development.
- Design and build large-scale ML models to improve ads engagement prediction, ads retrieval and ranking efficiency & performance.
- Effectively collaborate and partner with several cross functional teams to build the next generation of lightweight ranking and engagement models, and/or ads retrieval candidate generation models, especially those related to conversion optimization.
- Enable teams to do cross functional work with engineers from ranking/retrieval and ML infra teams.
- Stay informed of emerging ML research and industry trends, identify relevant techniques, and inspire the team in evaluating and incorporating these approaches.
- Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.
Preferred Qualifications
- Ads domain experience is a plus.