Overview

Twilio is the most trusted Customer Engagement Platform. We power the core channels of digital communication – Messaging, Email, Voice, WhatsUp, etc. Twilio team is working hard to deliver the set of intelligent ML driven API’s to create send time, channel, frequency, and sequence recommendations for each individual recipient.

Who?

Minimum seven years of hands-on experience developing large scale Machine Learning (Deep learning, Reinforcement learning, etc) applications.
Personal traits: Curious, Humble
Professionally: Humble, Passionate, Customer-obsessed, Get things done, highly collaborative, have excellent communication, and be very comfortable with rapid change and uncertainty
Is responsible for modeling and deploying at scale ML solutions, discovering insights, and identifying and effectively communicating opportunities based on technical expertise and business strategy.
You should understand the technical aspects of our products, connect technical work to business strategy, and have the skills to implement, communicate, and influence others.
You are comfortable to work closely with management, other data scientists, analysts, principal engineers, and product management.
A Bachelors or Masters in Computer Science, Mathematics, Statistics, or another quantitative discipline

Company:

Twillio

Qualifications:

You bring deep experience in machine learning and complex distributed systems and are comfortable with both the team and engineering requirements involved in bringing AI systems to production.
You have an in-depth understanding of the algorithmic side of machine learning, proven experience building delivering production-quality models, and demonstrated experience building and managing productive teams to drive machine learning impact in organizations.
You have familiarity with ML and NLP tools (TensorFlow, spaCy, sci-kit-learn), you drive the architecture of systems, and you are comfortable interfacing with data pipelines and data stores such as Kafka and Spark.
Proficiency with Python, Jupyter is preferred. We will also consider strong quantitative candidates with a background in other programming languages.
Experience with working in an agile team environment

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