Senior Machine Learning Engineer - GenAI Platform

P-984

Summary Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building. You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user-facing features to low-level GPU orchestration. You Will 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 We Look For 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 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 Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in, visit our page here. Local Pay Range

$166,000—$225,000 USD

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance 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. #J-18808-Ljbffr Databricks