Senior Software Engineer, GenAI Tasking Experience

3 Months ago • 5 Years + • Software Development & Engineering • $188,000 PA - $225,600 PA

Job Summary

Job Description

As a Senior Software Engineer on the Tasking Experience team at Scale AI, you will focus on building web-based applications that allow large-scale data collections for cutting-edge models. Your responsibilities will include owning large areas within the product, building features end-to-end, delivering high-quality experiments, collaborating with cross-functional teams, and mentoring junior engineers. You'll be involved in the entire product lifecycle, from conceptualization through production. This role is within the Generative AI Data Engine, which powers advanced LLMs and generative models through RLHF, human data generation, model evaluation, and alignment. This team is dedicated to producing high-quality data that is crucial for how humanity will interact with AI. This position requires someone who can thrive in a fast-paced environment.
Must have:
  • At least 5 years of relevant experience is preferred
  • Track record of shipping high-quality products and features at scale
  • 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

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 Tasking Experience team

Generating high-quality data is the core problem our business solves. Our Tasking Experience team focuses on building web-based applications that allow our contributors to annotate high quality data for language model training & evaluation. As a Senior Software Engineer on the team, you’ll focus on building web based interfaces that allow large scale data collections for cutting edge models. You will invest in task design for collecting agentic data, contributor feedback techniques, automated data validation using LLMs, & different front end architectures (primarily react based).

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

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About The Company

San Francisco, California, United States (Hybrid)

San Francisco, California, United States (Hybrid)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

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