Lead Platform Engineer: Large-Scale Data & AI Systems

Lead Platform Engineer: Large-Scale Data & AI Systems

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Scale AI, Inc.

At a Glance

  • Tasks: Lead the design and development of cutting-edge data platforms for AI systems.
  • Company: Join Scale AI, a leader in innovative data solutions.
  • Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Shape foundational systems that drive impactful AI initiatives and mentor future engineers.
  • Qualifications: Proven experience in platform engineering and a passion for scalable data solutions.

The predicted salary is between 80000 - 100000 Β£ per year.

Scale AI, Inc. is seeking an experienced Platform Engineer to lead the design and development of core data storage, streaming, caching, and indexing platforms. You will shape foundational systems and work across Scale to support world-class RLHF, data generation, model evaluation, safety and alignment initiatives. You will collaborate with cross-functional teams to refine requirements, implement new features, and drive engineering best practices while mentoring others in scalable data.

Lead Platform Engineer: Large-Scale Data & AI Systems employer: Scale AI, Inc.

As a Technical Program Manager at our London office, you will thrive in a dynamic and innovative work culture that prioritises collaboration and employee growth. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and strategic thinking. Join us to be part of a forward-thinking team that is shaping the future of AI technology while enjoying the vibrant atmosphere of one of the world's leading cities.

Scale AI, Inc.

Contact Details:

Scale AI, Inc. Recruitment Team

We think you need these skills to ace Lead Platform Engineer: Large-Scale Data & AI Systems

Data Storage Design
Streaming Technologies
Caching Solutions
Indexing Platforms
Cross-Functional Collaboration
Requirements Refinement
Feature Implementation