Researcher in Residence (3-Month Role)

Are you an academic (Masters or PhD) with a passion for AI and computer vision? Or perhaps you're self-taught with impressive open-source contributions in the AI comp vision space? Whether you're free due to holidays, about to graduate, or looking to experience the industry, this role is for you.

Role Overview:
  • As a Researcher in Residence, you will spend three months immersed in cutting-edge AI research and development. You will have the opportunity to work with our massive GPU cluster, collaborate with our talented team, and contribute to real-world applications impacting millions of users. While in-person in San Francisco is preferred, remote work from anywhere in the world is also an option.
Key Responsibilities:
  • Conduct research on advanced machine learning models, particularly in computer vision.
  • Develop and fine-tune models using state-of-the-art techniques.
  • Collaborate with our engineering team to integrate research findings into our platform.
  • Contribute to open-source projects and share your findings with the broader AI community.
What We're Looking For:
  • Academic background (Masters or PhD) in a related field, or equivalent self-taught expertise with a strong portfolio of open-source contributions.
  • Experience with Python, PyTorch, and other relevant AI frameworks.
  • A passion for AI and the ability to stay updated with the latest research and techniques.
  • Strong problem-solving skills and the ability to work independently in a remote team environment.
Details:
  • A three-month residency, preferably in-person in San Francisco, with remote options available globally.
  • Access to our powerful GPU cluster.
  • Mentorship and collaboration with leading experts in the field.
  • A competitive stipend.
  • Flexible work schedule to accommodate your academic commitments.
  • The opportunity to contribute to groundbreaking AI research and applications.

What we offer at fal

  • Interesting and challenging work
  • Competitive salary and equity
  • Employee-friendly equity terms (early exercise, extended exercise)
  • We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.
  • We offer visa sponsorship and will help you relocate to San Francisco.
  • Health, dental, and vision insurance (US)
  • Regular team events and offsites
  • 4 weeks of paid vacation

To Apply:

Reach out to hello@fal.ai with your resume and any relevant links to your work or publications.