Senior Software Engineer, GenAI Growth

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 GenAI Growth team at Scale AI, you will be responsible for building features from end-to-end, including front-end, back-end, system design, debugging, and testing. You will be expected to deliver experiments quickly and with high quality to engage customers. Collaborating with cross-functional teams, you will define, design, and ship new product features and experiences. The role involves working across the entire product lifecycle, influencing the engineering team's culture, values, and processes, and partnering with AI/ML teams to build LLM applications. The work contributes to the development of advanced LLMs and generative models through RLHF, human data generation, model evaluation, safety, and alignment. This position offers the opportunity to work on impactful projects that shape how humanity interacts with AI.
Must have:
  • At least 5 years of relevant experience.
  • Track record of shipping high-quality products at scale.
  • Ability to turn business ideas into solutions.
  • Excellent problem-solving skills, working independently or as 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 Growth team

The Growth team focuses on building products for our best-in-class contributor platform. As a member of the Growth team, you'll play a pivotal role in shaping the future of our contributor experience by streamlining platform onboarding, simplifying project assessments & selection, and experimenting with rewards and incentive programs.

You'll partner closely with AI/ML teams to build LLM applications that transform how we match contributors to projects and assess their skills.You'll have the opportunity to work closely with data science to optimize growth funnels and drive not only the growth of qualified contributors on our platform but also the future of the data labeling industry.

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
  • 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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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)

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