Senior Applied ML Engineer - ML4Sys
Databricksabout 2 hours ago
Base Salary
$16k - $21k/yr
Responsibilities
- Drive the scaling and efficiency of Databricks serverless compute products.
- Design end-to-end ML4Sys solutions within a lean team.
- Define the roadmap for applied ML investments in collaboration with engineering and product leaders.
- Architect, train, and deploy models to improve product performance and cost efficiency.
- Build robust ML pipelines and production monitoring systems.
- Research and implement novel modeling techniques for computer systems.
Requirements
- Master's degree in Machine Learning, Data Science, or a related field.
- Strong background in building, training, and deploying machine learning models in production.
- Practical familiarity with cloud computing and distributed systems.
- Proficiency in Python, Scala, or Java.
- PhD in AI or Data Science is preferred.
- 4+ years of machine learning engineering experience in a high-growth environment.
- Strong understanding of computer architecture and distributed computing.
- Experience with optimization algorithms for sequential decision making.
Benefits
- Comprehensive benefits and perks tailored to employee needs.
- Eligibility for annual performance bonus and equity.