Founding Engineer (Applied AI) at Worldwide Placement Limited | CA, US | Rezi

Founding Engineer (Applied AI) at Worldwide Placement Limited

Founding Engineer (Applied AI)

Worldwide Placement Limited · CA, US

3 weeks ago

Founding Engineer (Applied AI)

Worldwide Placement Limited · CA, US

23 days ago
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About the Role

This role focuses on the intelligence layer, advancing computer vision and AI systems to shipped prototypes that users can rely on. You’ll join a small, impact-driven team building cutting-edge CV/ML solutions to enable faster, smarter construction workflows.

Responsibilities

  • Focus on the intelligence layer rather than the application layer.
  • Apply the newest computer vision, LLM models, and AI systems.
  • Ship initial prototypes quickly and improve them based on user feedback.

Requirements

  • US citizenship required.
  • Visa sponsorship is not available.
  • Applied CV/ML experience with Python, machine learning, deep learning, and computer vision.
  • 0-to-1 builder with AI in production experience.
  • Growth mindset and a willingness to tackle challenging problems.
  • Strong communication with empathy and honesty about what’s working or not.
  • Comfortable with “schlep” work as part of building early-stage products.
  • SF-based or willing to relocate.
  • Full-time in-office.
  • Deep involvement with computer vision object detection and coordinating ML models; emphasis on intelligence-side R&D over application-layer work.

Skills

  • Python
  • Computer vision
  • Deep learning
  • Machine learning
  • LLM models
  • AI systems

Location

  • San Francisco, California, United States

Work Type

  • On-site
  • Full-time

Experience Level

  • Entry
  • Senior

Education Level

  • Other

Salary/Compensations

  • Competitive

Benefits

  • Partial

About the Company

  • Worldwide Placement Limited operates as a recruitment agency connecting top talent with leading organizations to make a significant impact on the global job market.
  • The company is an early-stage startup tackling blueprint understanding and cost estimation in construction with a model-garden approach.
  • Construction technology startup using computer vision.