Companies you'll love to work for

Everywhere Ventures
Everywhere Ventures

ML Engineer



Software Engineering, Data Science
Posted on Wednesday, January 10, 2024

ML Engineer

As a ML engineer at Zivy, you will be working on the core engine of classifying and prioritizing messages across different work tools to help our users cut through the communication noise. Your work will help people around the world discover the most important work in their daily jobs and create more impact for their company, their team and for themselves.

What will you be doing?

Developing and optimizing machine learning models for processing millions of text messages in a day and classifying them into categories personalized to the user.
Build reinforced learning models which understands the user communication preferences and help them communicate better and faster.
Test and evaluate the performance of the ML models and improve them with rigorous experiments.
Work with Backend Engineers and DevOps to Deploy, Maintain and Scale the ML models in production environment considering factors such as latency, cost etc.

What we’re looking for ideally

Proficiency in building large scale personalisation & recommendation algorithms and knowledge of information retrieval & ranking algorithms.
Stay up-to-date with the latest advancements in machine learning and AI tools, frameworks, and libraries, and apply them to improve our ML capabilities.
3+ years of working experience as an ML engineer working in large scale ML models involving both unstructured & structured data.

Hiring process

Our hiring process is pretty straightforward.
If shortlisted, one of the founders will have an exploratory call with you where we’ll talk more about Zivy, the team, the role, etc. Post that, we’d love to get to know more about you, your past work experience and, a bit of chit-chat.
Post the exploratory call, if we mutually agree that we could be a good fit, we’ll have around an hour of technical round where we’ll discuss relevant technical topics in depth and discuss case studies.
If things go well, the other founder would have a final round — this is just for a vibe check, culture fit :)
We will ensure the entire process is completed within 2 weeks, generally within a week. In case things don’t work out, please be sure it’s not a reflection of you but just not the right match at this point of time. It’s always frustrating to not receive any feedback / why not the right match / why not the right time. We will always provide a detailed feedback!

Useful Links