Staff Machine Learning Engineer – PhD
| Company | Jerry |
|---|---|
| Location | Palo Alto, CA, USA, Boston, MA, USA, Seattle, WA, USA, Toronto, ON, Canada, Austin, TX, USA, Los Angeles, CA, USA, Oakland, CA, USA, New York, NY, USA, Atlanta, GA, USA, San Diego, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior |
Requirements
- PhD in Physics or related field
- 5+ years of experience building and deploying models from scratch.
- Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch.
- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions.
- Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives.
Responsibilities
- Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives
- Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance
- Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks
- Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems
- Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.
Preferred Qualifications
-
No preferred qualifications provided.