Fullstack Software Engineer, GenAI Model Quality

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

Job Summary

Job Description

As a Fullstack Software Engineer on the Quality team, you will build web-based applications to measure the quality of data contributors. You will focus on systems that monitor and flag quality issues with large-scale data collections and will be involved in benchmark testing, ML models, and heuristics. The role involves owning large areas within the product, building features end-to-end, delivering experiments at a high velocity, and collaborating with cross-functional teams. This position offers the chance to influence the culture, values, and processes of a growing engineering team and mentor less experienced engineers. The work is crucial for the development of AI applications, particularly in generative AI and model evaluation.

Must have:

Shipping high-quality products and features at scale.
Ability to turn business and product ideas into engineering solutions.
Excellent problem-solving skills and ability to work independently or as part of a team.

6 skills required

6 skills required for this role

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

back-end

fullstack

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