Senior Fullstack Software Engineer, GenAI Model Quality

1 Month ago • 5 Years + • $188,000 PA - $225,600 PA

Job Summary

Job Description

As a Senior Fullstack Software Engineer, you will be responsible for building systems that monitor and flag quality issues with large-scale data collections. You will focus on web-based applications that measure our contributors' quality. The role involves building features end-to-end, designing systems, debugging, testing, and delivering experiments at high velocity. You will also be involved in the entire product lifecycle, collaborating with cross-functional teams, and mentoring less experienced engineers. This is a great opportunity to contribute to the development of AI applications and work with a team focused on generating high-quality data for the advancement of AI.

Must have:

At least 5 years of relevant experience
Track record of shipping high-quality products
Ability to turn business ideas into engineering solutions
Excellent problem-solving skills, ability to work independently or in 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 5 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