Engineering

Machine Learning Engineer

Bengaluru   |   Full Time

About the job

 

Wingman is a product that helps salespeople sell better by using machine-learning to understand sales conversations.

 

Wingman was a part of YCombinator, Summer 2019.

 

It records sales calls and emails, uses machine-learning to identify trends and provide insights.

 

Sales managers use these insights to:

  • Provide personalized, data-backed coaching
  • Understand the voice of customers at scale [e.g. which feature do I build next, where should I market my product]

 

Wingman's customers are mostly sales teams of tech companies based in the U.S. Thousands of sales people are using Wingman today to get better at selling. 

 

Consuming audio is inherently time consuming. As a side effect, people rarely use the insights hidden within audio data to improve their processes. Wingman uses cutting-edge machine-learning technologies to convert unstructured audio into actionable insights in real-time! This involves many challenging problems that require us to be at the forefront of infrastructure architectures and machine learning advancements to "understand" and influence customer conversations. Come talk to us to see what we've built and get a peek into the possibilities beyond.


About the role

This opportunity is for data scientists/engineers who have experience with the current state of the art in NLP techniques [e.g. Bert]. The process typically starts by working closely with the product team to convert a customer pain point into a problem statement [e.g. semantic search over transcripts, build chapters/index for each sales call, call summarization]. You will then be responsible for the end-to-end process of prototyping, evaluation and productionizing the solution. Some of this infrastructure is responsible for processing the audio data in real-time and in other cases post-call. Designing a system to process data in real-time is complex when your responses are invalid if they are delayed by more than a few seconds. You will be expected to also think like an engineer rather than purely as a data scientist.

Preferred Qualifications

  • Understanding and experience with the current state of the art in NLP techniques [e.g. Bert, word2vec, Transformers, Attention, RNNs]
  • Experience with Python
  • Strong experience with Machine learning frameworks [tensorflow, pytorch]
  • Understanding of fundamental data structures and algorithms
  • Familiarity with these concepts/systems is a plus: no-sql databases [e.g. mongodb]

 

What's in it for you

  • Work on hard problems with stellar engineers [Check out our eng team on LinkedIn]
  • Work at a fast-growing, well-funded startup.
  • We are one of the few spaces to be positively impacted by the current work-from-home situation. [remote sales teams find our product incredibly useful]
  • An opportunity to learn the skills it takes to own a system.

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