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Engineering Manager, Machine Learning - Remote

Posted 6 weeks ago
Software Development
Full Time
Worldwide
$185,000 - $220,000/year

Overview

As an Engineering Manager of Machine Learning at WellSaid, you will lead a high-performing team focused on developing state-of-the-art AI voice technology, ensuring both technical excellence and strategic impact.

In Short

  • Lead and build a collaborative machine learning team.
  • Define and deliver the ML roadmap in alignment with business goals.
  • Manage multiple machine learning projects effectively.
  • Conduct regular team standups and planning sessions.
  • Provide mentorship and feedback to team members.
  • Champion best practices in machine learning and software engineering.
  • Manage team resources and project prioritization.
  • Foster customer empathy within the team.
  • Promote an inclusive team culture.
  • Ensure technical guidance and strategic alignment in ML initiatives.

Requirements

  • 5+ years of experience managing software engineering teams.
  • 2+ years of experience with Cloud platforms (GCP, AWS, etc).
  • Familiarity with machine learning frameworks like PyTorch.
  • Proficient in software development practices.
  • Excellent communication and collaboration skills.
  • Empathetic and supportive leadership style.
  • Experience with text-to-speech or audio libraries is a plus.
  • U.S. Citizen or Permanent Resident required.
  • Pass a pre-employment background check.

Benefits

  • Competitive salary and stock options.
  • Full medical, dental, and vision insurance.
  • Matching 401(k) plan.
  • Generous vacation policy/paid time off.
  • Parental leave.
  • Learning & development stipend.
  • Home office stipend.

WellSaid

WellSaid

WellSaid is a pioneering AI voice company specializing in enterprise and professional applications. Renowned for its ultra-realistic voice technology, WellSaid utilizes carefully sourced voice talent alongside its advanced AI platform, earning the trust of some of the world's largest brands to engage their audiences effectively. The company is committed to building AI responsibly and ethically, fostering a culture of innovation and collaboration within a startup environment.

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