GenAI Senior Staff Machine Learning Engineer, Platform

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.
$232,000 - $313,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience

Description For GenAI Senior Staff Machine Learning Engineer, Platform

Databricks is hiring a Senior Staff Machine Learning Engineer to play a key role in building our Generative AI platform and products, and in developing our team of software engineers.

You will:

  • Serve as a technical lead, overseeing and supervising projects and engineers on the team.
  • Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies
  • Drive our technology vision and roadmap
  • Establish software development best practices, and lead by example in applying them
  • Develop our engineering organization and culture through hiring, mentoring, and feedback.

We look for:

  • 8+ years of hands-on programming experience with at least one modern language such as Python, Go, or C++
  • 8+ years of experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools
  • Strong sense of software design and usability of ML systems
  • Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security.
  • Prior experience in developing public cloud services or open source ML software is an advantage.

We value candidates who are curious about all parts of the company's success and are willing to learn new skills and technologies along the way.

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $232,000 - $313,000 USD and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Last updated 5 months ago

Responsibilities For GenAI Senior Staff Machine Learning Engineer, Platform

  • Serve as a technical lead, overseeing and supervising projects and engineers on the team
  • Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies
  • Drive our technology vision and roadmap
  • Establish software development best practices, and lead by example in applying them
  • Develop our engineering organization and culture through hiring, mentoring, and feedback

Requirements For GenAI Senior Staff Machine Learning Engineer, Platform

Python
Go
  • 8+ years of hands-on programming experience with at least one modern language such as Python, Go, or C++
  • 8+ years of experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools
  • Strong sense of software design and usability of ML systems
  • Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security
  • Prior experience in developing public cloud services or open source ML software is an advantage

Benefits For GenAI Senior Staff Machine Learning Engineer, Platform

Equity
Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k

Interested in this job?

Jobs Related To Databricks GenAI Senior Staff Machine Learning Engineer, Platform

GenAI Staff Machine Learning Engineer, AI Runtime

Join Databricks as a GenAI Staff Machine Learning Engineer to design and build cutting-edge AI tools and technologies, solving complex problems at scale and contributing to the AI community.

Applied Scientist

Senior Applied Scientist position at Amazon's SageMaker team, focusing on automated ML systems development with competitive compensation and hybrid work model.

Senior Engineering Manager, Incubation Team

Lead Apple's ISE Incubation team in Seattle, driving innovation in ML and user experience, managing diverse technical teams, and shaping next-generation products.

Senior Staff SW Engineer

Senior Staff Software Engineer role at Intuit focusing on AI/ML technologies and full-stack development to build innovative financial technology solutions.

Senior Staff Software Engineer

Senior Staff Software Engineer role at Intuit focusing on AI-native applications and distributed systems development, requiring 8+ years of experience.