← Back to Latest Jobs
Spotify

Senior Machine Learning Engineer - Messaging Platform

This role is pivotal in expanding the capabilities of Spotify’s private messaging infrastructure. You will apply advanced machine learning techniques to improve user engagement, moderation, and feature parity within our core communication platforms. Key responsibilities include designing, training, and deploying scalable NLP models (e.g., sentiment analysis, content filtering) that handle real-time message streams. The ideal candidate must have strong experience in building high-availability backend services and working with large datasets. Collaboration with cross-functional teams—including Product Managers and Infra Engineers—will be essential to transition research into robust, production-grade features, significantly enhancing the user messaging experience.

Spotify London, United Kingdom

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2000

Question set

180

Duration

Permanent

Focus areas

Machine LearningNatural Language Processing (NLP)Messaging SystemsBackend Engineering

People Also Ask (FAQs)

What is the last date to apply for Senior Machine Learning Engineer - Messaging Platform?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Senior Machine Learning Engineer - Messaging Platform?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the Spotify test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Senior Machine Learning Engineer - Messaging Platform test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Machine Learning, Natural Language Processing (NLP), Messaging Systems, Backend Engineering.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

Prepare for this test

We use cookies

We use essential cookies to keep the platform running and analytics cookies to understand usage. You can accept or reject analytics and advertising cookies.