About Zencastr
The ultimate podcasting platform for creators worldwide
Key Highlights
- Raised $4.6 million in seed funding
- Serves nearly 10% of 1.2 million active podcasts
- Headquartered in Cottonwood Heights, UT
- Browser-based platform for easy access
Zencastr is a leading platform for high-fidelity audio and video podcasting, enabling creators to record interviews seamlessly from anywhere in the world. Headquartered in Cottonwood Heights, UT, Zencastr has raised $4.6 million in seed funding and serves nearly 10% of the 1.2 million active podcast...
🎁 Benefits
Zencastr offers competitive equity options, flexible PTO, and a remote-friendly work environment, allowing employees to balance work and personal life...
🌟 Culture
Zencastr fosters a culture of accessibility and innovation, focusing on making podcasting easy for everyone. The company values creativity and adaptab...
Skills & Technologies
Overview
Zencastr is hiring a Senior Machine Learning Engineer to design and develop state-of-the-art machine learning applications that enhance the podcast creation experience. You'll work with Python and collaborate with a team of engineers and scientists. This role requires 5+ years of experience in machine learning and speech processing.
Job Description
Who you are
You have a postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field, and you bring over 5 years of experience in Python programming. Your expertise includes 3+ years of machine learning research, particularly focused on speech processing, and you have hands-on experience training and deploying neural networks. You are familiar with building APIs and have experience with Docker containers and container orchestration technologies like Kubernetes.
What you'll do
In this role, you will design, research, and develop cutting-edge machine learning applications and algorithms aimed at improving the lives of podcasters and podcast listeners worldwide. You will collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that enhance Zencastr’s various machine learning services. Your work will drive forward audio and text capabilities within the ML team, allowing you to work alongside some of the brightest minds in signal processing.
What we offer
At Zencastr, we value flexibility and are committed to providing an environment where you can do your best work. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in making a significant impact on the podcasting landscape with innovative AI solutions.
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