AI Researcher

Hume AI

• $150K — $180K *
San Francisco, CA 94112In-Person
Information Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • PhD in computer science, engineering, or related field, or equivalent experience
  • 5+ years of experience in machine learning research
  • Demonstrated expertise in generative AI, particularly with large diffusion or transformer models
  • Strong understanding of deep learning principles and techniques
  • Experience with video or time series model training preferred

Responsibilities

  • Research and design innovative machine learning solutions
  • Independently manage research agenda and long-term projects
  • Develop proof-of-concept models to test new ideas
  • Experiment with state-of-the-art techniques to improve existing models
  • Assist in writing technical papers for publication

Benefits

  • Flexibility for remote work for outstanding candidates
  • Work in vibrant San Francisco or Waterloo locations
  • Supportive team environment encouraging collaboration
  • Access to cutting-edge technology and tools for research
  • Opportunity to impact the field of earth observation and remote sensing
Full Job Description
AI Researcher

Location: San Francisco

The role will involve:
  • 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.

Requirements
  • 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
    • 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.

Nice to have
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • 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.
* Ladders Estimates

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