Lead Machine Learning Engineer in Healthcare Innovation

4 weeks ago

Old Toronto, Ontario, Canada Tali AI Full time

About Tali AI:

Tali AI is at the forefront of tackling the critical issue of physician burnout within the healthcare sector. Our innovative voice-enabled virtual assistant is designed specifically for healthcare professionals, aiming to alleviate their workload and enhance their efficiency.

Position Overview:

We are seeking a Senior Machine Learning Engineer who will play a pivotal role in enhancing our natural language processing (NLP) and automatic speech recognition (ASR) technologies.

Key Responsibilities:

  • Drive the creation of state-of-the-art machine learning algorithms for NLP and ASR functionalities.
  • Keep updated with the latest trends and breakthroughs in NLP and ASR to continuously improve our technology offerings.
  • Work collaboratively with various teams to seamlessly integrate machine learning innovations into our services.
  • Process and analyze extensive datasets of text and audio to derive valuable insights for model enhancement.
  • Refine model efficiency to satisfy high standards of speed and performance.
  • Conduct comprehensive assessments to pinpoint opportunities for refining NLP and ASR systems.
  • Provide mentorship and support to junior engineers, promoting a culture of creativity and advancement.

Core Values:

  • Growth: We are committed to continuous learning and development.
  • Purpose: Our dedication extends to our team and the broader community.
  • Innovation: We embrace challenges and leverage cutting-edge technologies.

Benefits and Perks:

  • Extensive health and wellness benefits.
  • Generous vacation policy, including additional holidays.
  • Flexible work hours with half-day Fridays.
  • Opportunities for professional growth and training.
  • Regular team-building events and outings.
  • Option for remote work arrangements.

Hiring Process:

  • Initial screening interview for shortlisted candidates.
  • Discussion with the Hiring Manager.
  • Interview with a Co-Founder or Executive Leader.
  • Final decision-making stage.

We appreciate the interest of all applicants; however, only those selected for an interview will be contacted. Tali AI is dedicated to ensuring an inclusive recruitment process for all candidates.

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