This is a fully remote role, allowing you to work from anywhere in the world.
About SynthflowAt Synthflow we’re building the easiest way for businesses to create AI-powered phone agents. No coding, no fuss—just smarter automation. We’re passionate about delivering the future of voice technology with lightning-fast, scalable solutions. It’s an exciting time at Synthflow: we’re early, fast-growing, and laser-focused on impact. Join us to do the best work of your career while helping businesses thrive.
About the roleWe’re looking for a Senior ML Engineer to build the next generation of AI-powered speech tools. In this role, you will focus on the design, development, and optimization of cutting-edge TTS and STT models. Your work will play a crucial role in enhancing the performance, naturalness, and accuracy of our speech solutions, directly impacting the user experience.
Your responsibilities will include:Architect and develop state-of-the-art machine learning models for TTS and STT applications.
Lead the training, fine-tuning, and optimization processes to ensure our speech models achieve top-tier performance.
Collaborate with cross-functional teams to integrate these technologies into scalable and robust products.
Drive innovation by staying updated with the latest industry trends and research in speech technologies.
Collaborate with NLP researchers and Software Engineers for the integration of new speech processing algorithms.
You have a solid background in speech technologies with a strong focus on TTS and STT.
You have over 3 years of practical experience in applying machine learning to develop and optimize speech processing systems.
You are proficient in Python and familiar with modern ML frameworks and tools.
You are a problem solver with a keen analytical mind, capable of tackling complex challenges in a dynamic environment.
Master's degree in Computer Science, Electrical Engineering, or a related field.
At least 3 years of hands-on experience in speech technology, specifically in developing TTS and STT systems.
Strong software development skills and experience with machine learning model implementation.
Demonstrated capability in delivering effective solutions in speech processing.
Autonomy at speed: High-ownership roles in a fast-moving startup.
Remote-first flexibility: Contribute from anywhere, on your schedule.
Cutting-edge technology: Work on what interests you most.
Career growth: Scale your impact as the company grows.
Rewarding package: Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.