AI Researcher

AI Researcher

Location:

SF or Waterloo, with ability to travel

Start Date:

Flexible, ideally Q3 2025

• Research & Design:
  • Deep understanding of current machine learning research.
  • Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects.
  • Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.
  • Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously.
• Implementation:
  • Developing high‑level proof‑of‑concept (POC) models.
  • Experimenting with new state‑of‑the‑art techniques to surpass existing models.
  • Plan and execute innovative research and development to push the boundaries of current technology.
• Writing and Publication:
  • Assisting in the preparation and writing of technical and scientific papers for publication.
  • Demonstrated strong scientific communication/presentation skills.

• PhD degree in computer science, engineering, a related field, or equivalent experience.
• Proven track record of successful machine learning research projects.
• 5+ years of experience.
• Strong scientific understanding of the field of generative AI, with preference for experience training large diffusion or transformer models, especially on video or time series data.
• Preference for San Francisco or Waterloo, but we’re willing to consider remote for great candidates.

• Proficiency in scripting languages such as Python, Bash, or Power Shell.
• Demonstrated experience with deep learning and transformer models.
• Familiarity with designing, pre‑training, and fine‑tuning large models.
• Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework.
• Strong technical engineering skills.
• Previous experience in creating high-performance implementations of deep learning algorithms.
• Past training of video or time‑series models.
• Team player, willing to undertake various tasks to support the team.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.