Principal Machine Learning Engineer

Acclaim

$130K — $180K *
US-AnywhereRemote in United States
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Speech AI, specifically TTS / Voice Generation
  • Recent focus on TTS technologies
  • Hands-on experience with training and fine-tuning TTS models
  • Experience deploying ML models in real production settings
  • Strong understanding of system performance metrics like inference and latency
  • Strong foundational knowledge in machine learning
  • Solid coding and engineering abilities

Responsibilities

  • Develop and enhance TTS / Voice Generation models
  • Train, fine-tune, and rigorously evaluate speech models
  • Transform research concepts into practical production systems
  • Collaborate across research, engineering, and product teams
  • Establish technical direction and ML best practices
  • Lead initiatives in a rapidly evolving environment
  • Work closely with engineering, product, and business teams

Benefits

  • Opportunity to work in a dynamic startup environment
  • Hands-on role with significant impact on product development
  • Collaboration with cross-functional teams and stakeholders
  • Focus on cutting-edge technology in the field of Speech AI
  • Potential for professional growth in a leading tech space
Full Job Description
Description

We are looking for a senior-level ML expert with deep experience in Speech AI, ideally focused on TTS / Voice Generation, to help build and scale production-grade speech systems.

This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment.

Requirements

  • 5+ years of experience in Speech AI, preferably TTS / Voice Generation
  • TTS has been a primary focus in recent years
  • Hands-on experience training and fine-tuning TTS models
  • Proven experience deploying ML models into real production environments
  • Strong understanding of inference, latency, scaling, monitoring, and reliability
  • Strong ML background overall (ML Scientist / ML Engineer trajectory)
  • Strong coding and engineering skills


Responsibilities

  • Develop and improve TTS / Voice Generation models
  • Train, fine-tune, and evaluate speech models
  • Bring research ideas into production systems
  • Work across research, engineering, and product
  • Help define technical direction and ML best practices
  • Drive execution in a fast-changing environment
  • Collaborate closely with engineering, product, and business stakeholders

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