Lead Machine Learning Engineer – ML Architect
| Company | Adobe |
|---|---|
| Location | San Francisco, CA, USA, San Jose, CA, USA |
| Salary | $142700 – $257600 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- MS/PhD or equivalent experience in Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
- Deep technical expertise in MMM, ML algorithms, and causal inference methods.
- Ability to balance business impact with technical feasibility, ensuring practical and effective solutions.
- Proven experience developing and productionizing business-critical models in real-world applications.
- Proficiency in Python, R, and cloud platforms (e.g., Azure) for scalable model training and deployment.
- Experience with ML model deployment and MLOps frameworks (e.g., MLflow).
- Experience working with engineering and software teams to design scalable infrastructure, API development, and microservices.
- Proven ability to build collaborative, multi-functional relationships.
- A curious, motivated approach with a passion for learning new skills, tools, and techniques!
Responsibilities
- Partner with marketing execution and analytics teams to translate business questions into actionable technical approaches.
- Partner with data scientists to refine and deploy models.
- Balance technical capabilities with business needs, ensuring practical, high-impact solutions.
- Continuously improve modeling techniques and capabilities as the analytical landscape evolves.
- Work with engineering teams to integrate models into production environments.
- Implement MLOps standard methodologies, covering model governance, monitoring, retraining, and versioning.
- Collaborate with software development teams on API development and deployment strategies.
- Collaborate with product engineering team to translate our mathematical solutions into a simulation engine product.
Preferred Qualifications
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No preferred qualifications provided.