Role Location
- Remote
Compensation
Employees
Address
Tech Stack
- Node.js
- TypeScript
- JavaScript
- Docker
Role Description
Empower the voices of the world @ Zencastr. If you want to push the world of podcasting into the future, come join a team who loves to live on the edge! We are a fully distributed team of smart people who are passionate about changing the world one voice at a time.
You should join us if :
You want to build machine learning applications that will improve the lives of podcasters around the world
You want to work with some of the brightest minds in signal processing
You have significant experience with a machine learning libraries like Tensorflow, Scikit-Learn, or PyTorch
You have a good understanding of DSP and ML fundamentals
You enjoy quickly building model prototypes
You have an eye for performance
You have good communication skills
What sets you apart:
You have a passion for high performance applications
You have significant open source contributions
You want to work in a fast growing startup. Which comes with the blood, sweat and tears of working to disrupt an established industry
You’ve tried to cure an itch either by creating or contributing to an open source project
You have empathy for the end user. A spec is a conversation starter, as an advocate for the end user you always are thinking about how to best serve their needs
You have an eye for code quality and you strive to uphold best practices in engineering, security, and design
Why you should choose us:
You’ll be working with world class engineers, Phd’s, machine learning engineers and designers in a fully distributed team
Work in an agile and fast changing environment
Equity commensurate to your contribution in a profitable company
Health insurance / vision / dental
Unique challenges and the support and talent to solve them
4 weeks PTO
Freedom to work where you please
What we’re looking for: * Preferably: A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
5 + years experience in Python, C++, or related language
Strong scripting skills in Python, Bash, or related scripting languages, as well as command line experience
Experience with various machine learning architectures and the parameters that affect their performance
Demonstrable knowledge of building and serving scalable machine learning solutions to a production environment
Ability to lead design and implementation of major software components, systems, and features
Experience with cloud technologies (Google Cloud, AWS)
Bonus points if you have:
Publications in peer-reviewed journals from a related field
Experience with recommendation systems
Experience with NLP frameworks
Experience with modern speech recognition frameworks
Good dev ops experience
Advanced DSP experience
MongoDB or SQL experience
Experience with unit, integration, and load testing
Experience building APIs
Experience with Docker containers, Implementing Docker Containers, Container Clustering
Experience with container orchestration technology such as Kubernetes a big plus
We are flexible! For the right candidate we ask: What do you need to do your best work?
About Zencastr
We are building the YouTube for podcasts
Company Culture
We found that we work well with people who love what they do and want to help creators. We are a bunch of music/audio nerds who believe we can change the world and fix some big problems in media. This app was launched from a jungle in Thailand so we could keep cost low and offer this service for free to users because we just wanted to help creators. This passion continues throughout the company today.
Address
Tech Stack
- Node.js
- TypeScript
- JavaScript
- Docker
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