Employer profile
Zencastr
3 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Senior Backend Engineer (Remote)
San Francisco Office | Remote
remote Salary not disclosedSenior Backend Engineer (Remote) San Francisco Office | Remote 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: - Have significant experience with Node.js and good knowledge of JS fundamentals - Have a good understanding of computer science fundamentals. You might not have gone to school for it, but you know the difference between heap and stack, different time complexities, and which patterns to use and when. - You are ambitious. You might want to build your own company one day or have tried to tackle the toughest tech problems just for fun. - You enjoy writing Javascript or Typescript - You have an eye for performance. Whether thinking about the latest client side bundling techniques, or the proper way to shard a mongo database, you want things to be fast. - You are a team player - 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 have empathy for the end user. A spec is a conversation
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Senior Fullstack Engineer (Remote)
San Francisco Office | Remote
remote Salary not disclosedSenior Fullstack Engineer (Remote) San Francisco Office | Remote 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: - Have significant experience with Node.js and good knowledge of JS fundamentals - Have a good understanding of computer science fundamentals. You might not have gone to school for it, but you know the difference between heap and stack, different time complexities, and which patterns to use and when. - You are ambitious. You might want to build your own company one day or have tried to tackle the toughest tech problems just for fun. - You enjoy writing Javascript or Typescript - You have an eye for performance. Whether thinking about the latest client side bundling techniques, or the proper way to shard a mongo database, you want things to be fast. - You are just as comfortable working in a browser context or a node.js http://node.js runtime - You are a team player - 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
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Senior Machine Learning Engineer (Remote)
New York Office | Remote
remote Salary not disclosedSenior Machine Learning Engineer (Remote) New York Office | Remote The Role We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday. We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr. You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction. What You'll Do.. - Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world - Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services. - Drive forward audio and text capabilities within the ML team - Work with some of the brightest minds in signal processing If This Describes You.. - A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field - 5 + years experience in Python - 3+ years experience in machine learning research, with a focus on speech - 3+ years experience training or deploying neural networks - Significant