Senior Applied ML Engineer - ML4Sys

Databricks
San Francisco
Workplace: OnsiteFull timeUSD 16,000 - 21,000Function: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: []

Build and deploy applied ML systems that improve the efficiency and performance of Databricks infrastructure. As part of the Applied AI team, you’ll use machine learning, scheduling, and optimization techniques across the stack—from cluster management to query compilation. Work with a lean group of domain experts to design ML4Sys solutions, architect and deploy state-of-the-art models, and scale ML pipelines, data processing, serving, and production monitoring for serverless compute.

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FursaFursa
Databricks
Databricks
2 days ago

Senior Applied ML Engineer - ML4Sys

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Last checked: 6 hours agoStatus: Live

Job Summary

Build and deploy applied ML systems that improve the efficiency and performance of Databricks infrastructure. As part of the Applied AI team, you’ll use machine learning, scheduling, and optimization techniques across the stack—from cluster management to query compilation. Work with a lean group of domain experts to design ML4Sys solutions, architect and deploy state-of-the-art models, and scale ML pipelines, data processing, serving, and production monitoring for serverless compute.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Use machine learning, scheduling, and optimization algorithms to maximize infrastructure efficiency and performance.
  • •Design end-to-end ML4Sys solutions and build systems within a lean team of domain experts.
  • •Architect, train, and deploy state-of-the-art models that improve product performance and cost efficiency.
  • •Build and scale ML pipelines, data processing layers, model serving components, and production monitoring systems.
  • •Research and implement novel modeling techniques tailored to computer systems and distributed environments.

Pay and Benefits

Salary: USD 16,000 - 21,000

Key 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.
  • •Ability to understand computer architecture and distributed/cloud computing or similar systems domains.
Experience:4+ years
Education:Master's in Machine Learning, Data Science (or related computational field)
Languages:English
Tech Stack:Machine learningPythonScalaJavaCloud computingDistributed systemsData processing frameworksML pipelinesModel servingProduction monitoringOperations researchForecastingMarkov decision processesOptimization algorithmsSchedulingQuery compilation

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn