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Machine Learning Infrastructure Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Greylock Partners
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

Overview

Machine Learning Infrastructure Engineer — join early B2C investment to help build large-scale ML infrastructure for a cutting-edge AI-first mobile product. Founders have experience building iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and more.

Responsibilities
  • Play a key role in building out large-scale ML infrastructure for the company.
  • Contribute to designing and implementing scalable distributed systems and ML pipelines.
Qualifications
  • 3+ years of experience building large-scale distributed systems infrastructure with 2+ years of industry experience building modern ML systems
  • BSCS or equivalent (MSCS preferred)
  • Prior startup experience required
About Us

Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, Linked In, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here:

Note

We are not recruiting for any roles within Greylock at this time — only for openings within our portfolio. Referrals increase your chances of interviewing at Greylock Partners.

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