Lead Engineer, Large Language Model Deployment

2 days ago


San Francisco, California, United States Scale AI Full time
About Scale AI's Mission

We aim to accelerate the development of AI applications across every industry. Our team is transforming how organizations build and deploy AI, and we are looking for talented engineers to join us.

Job Role

We are seeking a skilled Software Engineer to join our Growth team. As a member of this team, you will focus on building products for our best-in-class contributor platform. You will partner closely with AI/ML teams to build LLM applications that transform how we match contributors to projects and assess their skills.

You will 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.

Main Responsibilities:
  • Design and develop large-scale software applications using cutting-edge technologies
  • Collaborate with cross-functional teams to define, design, and ship new product features and experiences
  • 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
  • Influence the culture, values, and processes of a growing engineering team
Requirements and Qualifications
  • At least 3 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
Compensation and Benefits

The estimated salary for this full-time position in the locations of San Francisco, New York, Seattle is $160,000-$192,000 USD per year. We offer comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous paid time off. This role may be eligible for additional benefits such as a commuter stipend.



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