Joshua Brooks

S

Engineering Manager at LinkedIn · ML infrastructure

LinkedIn
San Francisco, CA · PT (UTC-8)
6+ years experience
Stanford GSB
English
Messaging unavailable

Overview

Engineering Manager at LinkedIn, focused on ML infrastructure. Brought on-call pages for ML platform down from 29 a week to 2. Before that: Capital One and Disney. Amateur photographer; mostly street and food.

Good reasons to reach out
  • People who want to build this with me
  • Thoughtful intros to people in my field
  • Questions about ML infrastructure
Please don't message about
  • Offshore staffing offers
  • Unpaid work or spec projects
Skills
CUDAPyTorchKubeflowRayPythonfeature storesmodel serving
Co-founderLooking for a co-founder
closes in 3 months

Looking for an operations co-founder for returns management for mid-market retailers

The idea
Looking for an operations co-founder for returns management for mid-market retailers
Stage
Idea
I bring
15 years in ML infrastructure
Looking for
Commercial co-founder who has sold to enterprises
Commitment
Part-time to start
Location
San Francisco or remote

I bring 6 years of ML infrastructure (currently LinkedIn). Ideally you've built ML systems in production. Full-time from day one.

San Francisco, CApythonfeature storesray

Experience

  1. Engineering Manager
    May 2026 - Present
    LinkedIn · 5 mo · Full-time · San Francisco, CA
    • Mentored 8 engineers through their first promotion.
    • Cut p99 latency on the ML platform services from 453ms to 178ms.
    • Shipped a rewrite that took build times from 20 minutes to under 2.
  2. Senior ML Engineer
    Feb 2023 - May 2026
    Capital One · 3 yr 3 mo · Full-time · San Francisco, CA
    • Shipped a ranking change that increased conversion 6.4%.
  3. ML Engineer
    Oct 2020 - Feb 2023
    Disney · 2 yr 4 mo · Full-time · San Francisco, CA
    • Replaced 107 hand-built dashboards with one metrics layer people trust.
    • Taught SQL to 96 non-analysts.

Projects

Write-up: ML infrastructure in practice
2023

A long-form guide to ML infrastructure for people starting out.

References

No references yet.

Education

  1. Stanford GSB
    MBA, Business Administration
    2021 - 2023
  2. UC San Diego
    BS, Information Technology
    2016 - 2020

Details

Compensation expectations
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