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[Remote] Senior Machine Learning Engineer - Ads R&D

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Spotify is a company that focuses on building a next generation advertising platform for audio and video. They are seeking a Senior Machine Learning Engineer to join their Supply Personalization squad, where the main purpose is to optimize ad loads for users through data analysis and machine learning.

Responsibilities

  • Design and implement machine learning systems for ad performance optimization
  • Research and apply ML optimization strategies to balance multiple objectives effectively
  • Analyze data and use machine learning techniques to understand user behavior and improve ad experiences
  • Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies

Skills

  • Professional experience in applied machine learning
  • Strong technical expertise in software engineering, data analysis, and machine learning
  • Proficient in programming languages such as Python, Java, or Scala
  • Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle
  • Expertise in developing data pipelines using tools like Apache Beam or Spark
  • Experience with LLMs
  • Experience with Ray
  • Experience in Adtech
  • Experience with Recommender Systems

Benefits

  • Health insurance
  • Six month paid parental leave
  • 401(k) retirement plan
  • Monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • Paid sick leave

Company Overview

  • Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. It was founded in 2006, and is headquartered in Stockholm, Stockholms Lan, SWE, with a workforce of 5001-10000 employees. Its website is http://www.spotify.com.
  • Company H1B Sponsorship

  • Spotify has a track record of offering H1B sponsorships, with 41 in 2026, 140 in 2025, 117 in 2024, 169 in 2023, 259 in 2022, 172 in 2021, 115 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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