Machine Learning Infrastructure Engineers (Multiple Opportunities)

Greylock Partners

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

A leading investment firm in San Francisco is seeking talented engineers with strong infrastructure and distributed systems backgrounds to support growth in their portfolio startups focusing on AI. Candidates should have 3+ years of experience in ML Infra or AI Engineering. This role offers a unique opportunity to connect directly with startups invested by the firm.

Qualifications

  • 3+ years of industry experience in ML Infra or AI Engineering.

Responsibilities

  • Support the growth of investments by providing engineering expertise.
  • Connect with startups and contribute to scaling AI solutions.

Skills

Infrastructure experience
Distributed systems
AI Engineering

Job description

Job Overview

To help support the growth of several investments in the SF Bay Area, we’re looking to connect with talented engineers who have strong infrastructure and distributed systems backgrounds and who are interested in scaling AI.

Qualifications: If you have 3+ years of industry experience in ML Infra or AI Engineering, we’d like to hear from you.

About Us

About Us: Greylock is an early‑stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, and others. More can be found about us here: https://greylock.com/

How We Work

We are full‑time, salaried employees of Greylock and provide free candidate referrals and introductions to our active investments. We will contact anyone who looks like a potential match to schedule a call immediately.

Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow‑up email will not be sent until a match is identified with one of our investments.

Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with startups in our portfolio.

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