Senior Machine Learning Engineer, Platform
4 weeks ago
Mosaic AI, now part of Databricks, is seeking an experienced machine learning platform engineer 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, including our CLI and SDK interfaces, backend APIs, distributed orchestration systems built on Kubernetes, and core platform infrastructure to support our product.
Key Responsibilities:
- Play a key role in the end-to-end design and implementation of our product, 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.
Requirements:
- 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 for this role is $166,000-$225,000 USD, and actual compensation packages are based on several factors, including job-related skills, depth of experience, relevant certifications, and specific work location.
The total compensation package for this position may also include eligibility for annual performance bonus, equity, and benefits.
About Databricks:
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake, and MLflow.
Benefits:
We strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please visit our website.
Commitment to Diversity and Inclusion:
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.
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