Member of Technical Staff, Infrastructure

Sieve; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

401k

Health insurance

Meals & snacks

Uber rides home

Onsite SF HQ

Job summary

Sieve, a multi-modal lab, seeks an infrastructure engineer to design and run ML data pipelines and ETL systems at scale in San Francisco. You will focus on uptime, reliability, and cost efficiency while handling thousands of GPUs and complex workflows.

You’ll work with cloud architectures, build fast distributed systems, and create internal tooling and CI/CD for rapid iteration. This is an onsite role at our SF HQ.

Qualifications

• 3+ years of experience building foundational data infrastructure.
• Proficient in working across diverse cloud architectures.
• Pipelines that process petabytes of data.
• Developed robust CI/CD pipelines tailored for ML-focused teams.
• Strong coding experience with Go and Python; Rust is a plus.
• Operates as an IC who leads by example.
• Experience with large-scale video data systems.
• Onsite at SF HQ.

Responsibilities

• Design and engineer systems that handle compute, scheduling, and orchestration of ML+ETL pipelines.
• Prioritize uptime, reliability, and cost-efficiency for large-scale data workloads.
• Build internal tooling and CI/CD to accelerate model and data pipeline development.

Skills

Go

Python

Rust

Job description

About Us

Sieve is a multi-modal lab curating the world's highest-quality training datasets — spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data.

We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.

Why Now

Sieve is one of the most capital-efficient teams in AI — roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.

About the Role

As an infrastructure engineer at Sieve, you’ll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML + ETL pipelines that need to run quickly, reliably, and cost-effectively on large sums of video.

You’re likely a good fit if you love optimizing for system uptime, have worked with cloud technologies, optimizing hyper-fast distributed systems at the scale of thousands of GPUs, and building great internal tooling and CI/CD for rapid iteration.

Requirements

• 3+ years of experience building foundational data infrastructure


• Proficient in working across diverse cloud architectures


• Designed and maintained pipelines that process petabytes of data


• Developed robust CI/CD pipelines tailored for ML-focused teams


• Strong coding experience with Go and Python; Experience with Rust is a plus


• Operates as an IC who leads by example


• Experience with large-scale video data systems


• In-person at our SF HQ

Benefits

• 401k + Full Health Insurance


• Breakfast, Lunch, and Dinner covered and your choice of snacks


• Ubers covered home

*all roles at Sieve require you to be onsite in San Francisco 5 days per week