Senior Machine Learning Engineer - Genai Platform
-984 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. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibil
What this role actually needs.
-984 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. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibil Requirements: - 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++ Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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++
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Senior Machine Learning Engineer - Genai Platform is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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Open the source listing from databricks.com, confirm the role is still active, then apply on the employer or ATS page.
Source: databricks.com Β· Source ID: 6954585002 Β· Confidence: 93/100 Β· Last checked: May 7, 2026
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