GenAI Senior Machine Learning Engineer, Platform

Mosaic AI is hiring experienced machine learning platform engineers to build out our generative AI platform for the ML model development lifecycle including pre-training of large language models (LLMs), fine-tuning, evaluation, and serving. 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 such as our CLI and SDK interfaces, backend APIs, distributed orchestration systems built on Kubernetes, and core platform infrastructure to support our product.

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 ML researchers in the company and customers 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 as well as own the implementation of these designs
• 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:

• 5+ years of full time industry experience
• Strong software engineering skills
• Experience building large-scale distributed systems
• Experience building ML platform systems for applications in the ML model development lifecycle such as model training, data preparation, 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.

We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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