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Software Engineer, GenAI Outlier

Software Engineer for GenAI Outlier team, building features for expert platform.
Scale AI
Hybrid
On-Site
United States
USD 160,000 - 192,000
Job Description
Scale AI is seeking a Software Engineer to join its GenAI Outlier team. This team is focused on building features for the world's premier expert platform for Generative AI, serving tens of thousands of daily active users. The role involves creating an exceptional experience for high-caliber contributors and continuously evolving the platform with innovative features.Responsibilities include:
  • Owning large areas within the product.
  • Building features end-to-end: front-end, back-end, system design, debugging, and testing.
  • Delivering experiments at a high velocity and level of quality.
  • Working across the entire product lifecycle.
  • Influencing the culture, values, and processes of a growing engineering team.
  • Inspiring and mentoring less experienced engineers.
  • Collaborating with cross-functional teams.
Requirements include:
  • At least 3 years of relevant experience in a fast-paced, high-growth tech environment.
  • A 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.
Scale AI offers:
  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits.
  • A learning and development stipend.
  • Generous PTO.
  • Potential commuter stipend.
Apply Manually

Scale AI

Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.

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