Sr Machine Learning Engineer

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?