
Machine Learning Infrastructure Engineer
Role summary
Seeking an experienced Machine Learning Infrastructure Engineer to build large-scale ML infrastructure for an early-stage B2C AI-first mobile product company. The role requires 3+ years of experience in distributed systems and 2+ years in ML systems, with a BSCS or equivalent degree. Prior startup experience is mandatory. This is an onsite role in San Francisco.
Location:
San Francisco
One of our early B2C investments is seeking an experienced and talented ML Infra Engineer. The founders have played key roles in creating iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and more. Now, they’re leveraging their expertise and advancements in AI to revolutionize how professionals interact. This is a unique opportunity to help create a cutting-edge AI-first mobile product and redefine user experiences through the power of LLM's.
Team Size:
> 20 people
Opportunity:
Play a key role in helping to build out large-scale ML Infrastructure for the company.
Role (Key Traits):
- 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, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: https://greylock.com/
And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time -- only for openings within our portfolio.
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