Multimodal AI Researcher

2 weeks ago


Reston, Virginia, United States Harnham Full time

Job Title: Principal Multimodal Scientist

Job Type: Full-time

Location: San Francisco Bay Area

Salary: $275,000 - $300,000 + bonus + equity

About the Company:

This innovative subsidiary of an electronics manufacturer is pushing the boundaries of generative AI for wellbeing. Our team is half applied research, half product deployment for novel health-tech multimodal applications. We're looking for a technical leader who will own the applied science half of the equation, building out multimodal and transformer-based models.

Job Description:

We're seeking a Principal Multimodal Scientist to lead our applied science technical strategy. As a key member of our team, you'll build multimodal models for generative AI applications, partner with commercial and research departments, and stay on the cutting edge of multimodal and AI.

Responsibilities:

  • Develop and implement multimodal models for speech, audio, text, image, and video extraction and recognition
  • Lead the technical strategy for applied science, with a focus on hands-on work and project leadership
  • Collaborate with commercial and research departments to develop solutions for customer wellbeing
  • Stay up-to-date with the latest advancements in multimodal and AI
  • Serve as a subject matter expert for the business and interact with stakeholders

Requirements:

  • MS/PhD in Computer Science, Computational Linguistics, Statistics, or similar STEM field
  • 9 years of commercial experience building production-grade multimodal applications
  • History of leading data and applied science projects
  • Expertise in Python, NER, spaCy, NLTK, TensorFlow, PyTorch, or Keras
  • Experience with health data a plus
  • Ability to demonstrate outside-the-box thinking
  • Comfortable working in autonomous and collaborative settings

What We Offer:

A comprehensive benefits package, including a base salary, bonus, equity, and opportunities for growth and development.

How to Apply:

Please register your interest by sending your CV via the Apply link on this page.


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