Luma AI

Software Engineer - Data Infrastructure

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Redwood City, CA

Employer listed it 6 weeks ago · Added today

Been open since 6 weeks ago, still checked daily, but it has been live a while.

Salary

$170,000–$360,000

Location

Hybrid · Redwood City, CA

Timezone

Not stated

Contract

Full-time

Experience

Mid

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Redwood City, CA, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "Redwood City, CA, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

About the Role

As a Data Infrastructure Engineer in Research at Luma, you will play a critical role in building and scaling the data infrastructure that supports our cutting-edge multimodal AI systems. Your work will focus on developing high-throughput, large-scale data processing pipelines tailored for machine learning research and internal ML platform needs. You will collaborate closely with ML researchers and product teams to create reliable, efficient, and easy-to-use data infrastructure that empowers innovation and accelerates development. This role requires a strong foundation in distributed systems and data engineering, with an emphasis on supporting complex machine learning workflows rather than traditional product data infrastructure.

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