Engineering Manager, Frontier Data

Company: Tbwa Chiat/Day Inc
Location: New York
Posted on: March 7, 2025

Job Description:

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 development of AI modalities to pave the road to Artificial General Intelligence (AGI).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 the role:The Frontier Data team builds datasets to enhance cutting edge LLM capabilities. The team partners closely with leading-edge research and development efforts from AI labs to scale up human data in new modalities. Examples of current data products supported include agentic workflows, real-time audio data, and reinforcement learning environments.Frontier Data supports the entire lifecycle of human data input for new modalities:

• Initial data architecture, prototyping, and definition
• Development of collection tooling, quality control, and management
• Operational scaling across thousands of expert human data collectors
• Performance evaluation frameworks to prove data efficacy
• Testing environments and benchmarkingAs Engineering Manager, you will manage the team of engineers and work closely with our customers, internal ML researchers, and operators to define, build, and support these data products.Responsibilities:
  • Manage the engineering team and drive technical delivery for Frontier Data
  • Deliver experiments at a high velocity and level of quality to engage our customers
  • Work across the entire product lifecycle from conceptualization through production
  • Build features end-to-end: front-end, back-end, system design, debugging and testing
  • Influence the culture, values, and processes of a growing engineering team
  • Inspire and mentor less experienced engineersRequirements:
    • At least 5 years of relevant experience and at least 2 years of experience managing engineers 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
    • Experience working on Agent-related products or research is a plusPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000 - $254,400 USDPLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
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Keywords: Tbwa Chiat/Day Inc, New York , Engineering Manager, Frontier Data, Executive , New York, New York