📍
San Francisco, CA

Software Engineer, Gen AI

3 years experience
Technology & Digital
Software engineering
Posted:
December 29, 2025

Scale

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

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About Data Engine

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

Our Approach

As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

Responsibilities:

Requirements:

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.
view full company profile >

Related jobs

📍
Needham, MA
SharkNinja
Fall 2026: APAC NPD Commercial Readiness Co-op (July to December)
January 26, 2026
view job >
📍
Needham, MA
SharkNinja
Fall 2026: Brand Marketing Co-op, Ninja (July to December)
January 26, 2026
view job >
📍
Needham, MA
SharkNinja
Fall 2026: Brand Marketing Co-op, Shark (July to December)
January 26, 2026
view job >
📍
Needham, MA
SharkNinja
Fall 2026: Community Manager Co-op, Social Media & Online Engagement (July to December)
January 26, 2026
view job >