Senior Machine Learning Engineer
Podcastle
About this role
A Machine Learning Engineer at Async will develop and deploy AI-based audio and video creation solutions, focusing on text-to-speech, voice cloning, and speech enhancement systems. The role involves building scalable software, optimizing machine learning models, and maintaining real-time audio endpoints in a fast-paced startup environment.
Skills
About Podcastle
async.comAsync is an AI-driven creative studio and voice platform that connects video, sound, and voice through a chat-based, end-to-end workflow for video and audio production. It provides tools for creators to generate, edit, and iterate on media via conversational prompts, plus human-like, low-latency Voice APIs developers can embed into apps and conversational agents. Teams and developers use Async to add natural-sounding speech, real-time voice interactions, and scalable media production capabilities to products and content pipelines.
About Podcastle
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Podcastle.
Salary
$100k – $150k
per year