Senior Machine Learning Engineer - GenAI Platform
$166,000–$225,000 year
On-site · San Francisco, California, United States
Job Summary
Databricks Mosaic AI seeks experienced machine learning platform engineers to develop a customer-facing generative AI platform supporting the ML development lifecycle including data generation, training, evaluation, serving, and agent-building. Candidates are expected to demonstrate strong ownership in product design and implementation, spanning user-facing features and backend distributed systems. Key responsibilities include collaborating with customers and internal ML researchers, ensuring the reliability and scalability of product systems, and translating user requirements into effective interfaces. Ideal candidates will have significant programming experience, a background in distributed systems, and a strong commitment to product usability.
Required Qualifications
- 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++
- Strong sense of distributed systems design and experience building large-scale systems
- Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving
- Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability
- Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.
Desired Qualifications
- Direct experience developing ML models is a plus but not required
- Curiosity about all parts of the company's success and willingness to learn new technologies
Additional Requirements
- Access to export-controlled technology or source code may require U.S. government license.
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