Helpshift

The Conversational Customer Service Platform

101 - 250 employees

51 - 100 engineers

$25m - $50m funding

Series b

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Delivering a superior customer service experience at a lower cost with Helpshift’s AI-powered messaging platform.

Why join us?

Helpshift is installed on 2+ billion phones, i.e. 1 out of 3 smartphones! Helpshift is active on 985 million devices. We process 6.7 Million Conversations every month.
We have 2 market-leading AI products already being used by customers - Predict & Answerbot
Are you a backend engineer who wants to learn data science and machine learning? Then this is the role for you! We will train you to work on production AI projects at Helpshift.

Engineering at Helpshift

Engineering team and processes

The AI team is split between 2 offices - San Francisco and Pune, India. We have the broader engineering and product teams in the Pune office.

We are small teams operating in a startup environment. Expect fast pace but regular working hours. We strive to deliver quality with speed. However, we will not sacrifice quality for speed.

We are transitioning to practice Agile iterations in developing software, ensuring a concrete deliverable at the end of every cycle.

Technical Challenges

We are not an AI company looking for customers. We are a customer service software company where our customers are looking to us for AI features.

The challenge is that we are not building AI features for Helpshift, we are building AI features for Helpshift's customers, so the entire machine-learning process should be automated and work for any new customer who walks in. That is where your backend engineering skills come into the picture :-)

Projects you might work on

Think of the MLE team's work as ML infrastructure + productionizing data science algorithms. ML infrastructure work includes APIs, databases, background jobs, Kafka topics, cloud storage (on AWS and Azure), etc. Productionizing data science algorithms include taking the data scientists' prototypes and building a robust system that can go into production, and serve large-scale customers (think of the biggest gaming companies in the world, the biggest fintech companies in the world, and so on). You bring your programming skills and backend engineering skills, we will coach you on the rest.

Tech stack

Python

Kafka

Clojure

Scikit-Learn

AWS

MongoDB

Celery

Redis

Hadoop

Working at Helpshift

We are small teams operating in a startup environment. Expect fast pace but regular working hours. We strive to deliver quality with speed. However, we will not sacrifice quality for speed.

Perks & benefits