📍
San Francisco, CA

Field Engineer, Public Sector

No experience
Technology & Digital
Software engineering
Posted:
December 29, 2025

Scale

Data labelling and model evaluation platform
72.7
Palpable Score
Apply >view company >

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with.

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

Ideally you'd have:

Nice to haves:

About the company

Scale

Company overview
Scale builds data infrastructure and tooling used to train, evaluate, and deploy AI systems, including work tied to RLHF, model evaluation, and enterprise AI workflows. Scale sells products like the Scale Data Engine and supports both private-sector and government customers building AI applications. Scale positions the company around “reliable AI systems” and operational excellence alongside software. Scale also runs a large set of roles across engineering, applied AI, operations, and go-to-market teams tied to AI delivery.

Locations and presence

Scale lists San Francisco as the headquarters and commonly hires into hubs like San Francisco and New York, with some roles also listing Seattle. Scale’s careers pages tend to specify location on each role rather than publishing a single, company-wide remote or hybrid policy in one place.

Palpable Score

72.7
/ 100
Scale has real early-career entry points through a dedicated university hub, recurring intern and new grad roles, and a named new grad program for Strategic Projects. Scale is better than many AI startups on transparency, with a published SWE hiring flow and a salary band on at least one flagship new grad posting. Early-career outcomes and stability are the main limiters because public signals point to high intensity and the company has had recent layoffs, while early-career conversion and promotion metrics are not published.
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