Senior Applied ML Engineer - ML4Sys

26 minutes ago
Full-time
Senior
DevOps and Infrastructure
Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised

Description

  • Drive scaling and efficiency improvements for Databricks serverless compute products using advanced optimization techniques.
  • Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts.
  • Define the roadmap for applied ML investments by collaborating with engineering and product leaders.
  • Architect, train, and deploy models that improve product performance and cost efficiency.
  • Build ML pipelines, data processing layers, model serving components, and production monitoring systems.
  • Research and implement novel modeling techniques for computer systems and distributed environments.
  • Work across the full stack, including cluster management and query compilation, to solve infrastructure optimization problems.

Requirements

  • Background in Computer Science and a Master's degree in Machine Learning, Data Science, or a related computational field.
  • Strong experience building, training, and deploying machine learning models in production.
  • Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks.
  • Proficiency in Python, Scala, or Java.
  • PhD in AI, Data Science, or a related technical discipline is preferred.
  • 4+ years of machine learning engineering experience in a high-velocity, high-growth environment is preferred.
  • Strong understanding of computer architecture, distributed computing, cloud compute, database internals, or networking is preferred.
  • Experience with operations research, forecasting, Markov decision processes, or other optimization algorithms for sequential decision making is preferred.
  • Proven track record of optimizing large-scale distributed systems or cloud infrastructure via data-driven approaches is preferred.

Benefits

  • Local pay range of $16,000 to $21,000 USD.
  • Eligibility for an annual performance bonus.
  • Equity may be included in the total compensation package.
  • Comprehensive benefits and perks are offered, with details varying by region.

Interested in this position?

Apply directly on the company website

Apply Now

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