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Databricks
Senior Machine Learning Engineer - GenAI Platform
Databricks
San Francisco•On-site•Salary•4-7 Yrs•2 hours ago
Job description
Overview
Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control.
Responsibilities
- Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models
- Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform
- Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design and own end-to-end implementation
- Design and build the core platform infrastructure that supports our customer-facing product features
- Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product
- 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
Qualifications
- Direct experience developing ML models is a plus but not required
- 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.
Benefits
- At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
- Our Commitment to Diversity and Inclusion
- If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.