Software Engineer, GenAI Model Quality

1 Day ago • 3 Years + • $160,000 PA - $192,000 PA

Job Summary

Job Description

As a Software Engineer on the Quality team at Scale AI, you will be responsible for building web-based applications to measure the quality of contributors' work. You will develop systems to monitor and flag quality issues in large-scale data collections, utilizing Benchmark testing, ML models, and various evaluation strategies. The role involves owning significant areas of the product, building features end-to-end, and delivering high-quality experiments quickly. You will work collaboratively with cross-functional teams to design and launch new features, while also mentoring less experienced engineers and contributing to the engineering team's culture and processes.

Must have:

At least 3 years of relevant experience is preferred.
Track record of shipping high-quality products at scale.
Ability to work in a fast-paced environment.
Ability to turn business ideas into engineering solutions.
Excellent problem-solving skills, working independently or in a team.

5 skills required

5 skills required for this role

Add these skills to join the top 1% applicants for this job

back-end

reinforcement-learning

front-end

cross-functional

problem-solving

Job Details

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.

About our Quality team

Generating high-quality data is the core problem our business solves. Our Quality team focuses on building web-based applications that help measure our contributors' quality. As a Software Engineer on the team, you’ll focus on building systems that monitor and flag quality issues with large-scale data collections. You will invest in Benchmark testing, ML models, heuristics, and other evaluation strategies to measure contributors' quality on a variety of Gen AI tasks.

Responsibilities:

Own large areas within our product
Build features end-to-end: front-end, back-end, system design, debugging and testing
Deliver experiments at a high velocity and level of quality to engage our customers
Work across the entire product lifecycle from conceptualization through production
Influence the culture, values, and processes of a growing engineering team
Inspire and mentor less experienced engineers
Collaborating with cross-functional teams to define, design, and ship new product features and experiences.

Requirements:

At least 3 years of relevant experience is preferred
Track record of shipping high-quality products and features at scale
Desire to work in a very fast-paced environment
Ability to turn business and product ideas into engineering solutions
Excellent problem-solving skills, and be able to work independently or as part of a team.
Excited to join a dynamic, hybrid team in either San Francisco or New York City