Senior Machine Learning Engineer, Platform San Francisco, California
2 weeks ago
We are seeking an experienced Machine Learning Platform Engineer to join our team at Databricks Inc. as a Senior Machine Learning Engineer, Platform San Francisco, California. This is a unique opportunity to contribute to the development of our generative AI platform, which is a critical component of our data and AI platform.
Key Responsibilities- Design and implement the core platform infrastructure that supports our customer-facing product features.
- Work closely with ML researchers 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.
- Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product.
- 5+ years of full-time industry experience.
- Strong software engineering skills.
- 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 offer a competitive salary range of $166,000 — $225,000 USD, annual performance bonus, equity, and a comprehensive benefits package. We are committed to fair and equitable compensation practices and strive to create a work environment that is inclusive and diverse.
About DatabricksDatabricks is the data and AI company. We are a global organization with a strong presence in the data and AI industry. Our platform is used by over 10,000 organizations worldwide, including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500. We are committed to fostering a diverse and inclusive culture where everyone can excel.
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