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Machine Learning Engineer, II

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Spotify

15d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • London
  • Quick Apply

AI generated summary

  • You have machine learning expertise, experience with production systems in Java, Scala, or Python, familiarity with data processing tools, and a customer-first mindset.
  • You will design, build, and evaluate ML solutions, collaborate with cross-functional teams, prototype new features, and promote best practices in ML development for personalized user experiences.

Requirements

  • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in bandit algorithms, LLMs, general neural networks, and/or other methods relevant to recommendation systems
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus
  • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You love your customers even more than your code

Responsibilities

  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development
  • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Be part of an active group of machine learning practitioners in Europe (and across Spotify) collaborating with one another
  • Together with a wide range of collaborators, help develop a creator-first vision and strategy that keeps Spotify at the forefront of innovation in the field

FAQs

What is the role of a Machine Learning Engineer II on the Personalization team?

The Machine Learning Engineer II will contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products, collaborating with a cross-functional agile team to enhance user experience through recommendation algorithms.

What qualifications are required for this position?

Candidates should have a strong background in machine learning, experience with bandit algorithms and neural networks, and hands-on experience implementing production ML systems with programming languages such as Java, Scala, or Python.

What kind of experience is preferred for this role?

Preferred experience includes working with large-scale distributed data processing frameworks like Apache Beam or Apache Spark, as well as familiarity with cloud platforms such as GCP or AWS.

What tools and frameworks should a candidate be familiar with?

Candidates should be familiar with tools and frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with agile software processes and data-driven development.

What does the collaboration process look like within the team?

The team collaborates in a cross-functional environment that includes user research, design, data science, product management, and engineering to build new product features.

Where can I work if I join the team?

You can work remotely within the European region, as long as a work location is established, and collaboration will occur mainly within the GMT/CET time zone.

Does Spotify provide support for diverse candidates during recruitment?

Yes, Spotify is passionate about inclusivity and ensures that their recruitment process is accessible. Candidates can request reasonable accommodations during the interview process.

What values does Spotify prioritize in its workplace culture?

Spotify values diversity, inclusivity, and believes that a variety of perspectives will strengthen their business and contribute to innovation in the music and podcasting industry.

Passionate music fans. Innovative tech pros. Perfect harmony. Join our band.

Entertainment & Media
Industry
5001-10,000
Employees
2006
Founded Year

Mission & Purpose

Spotify is a transformative music streaming platform that has revolutionised the way people listen to music. Their mission is to unlock the potential of human creativity by providing a platform for over a million artists to earn a living from their art while offering billions of fans the opportunity to enjoy and be inspired by it. With a vast library of over 50 million tracks, users can discover, manage, and share music for free, or upgrade to Spotify Premium for an enhanced experience, including offline mode, improved sound quality, and an ad-free listening experience. As the most popular global audio streaming service, Spotify's innovative model has become the largest revenue driver for the music industry, supporting artists and reshaping the music ecosystem.

Culture & Values

  • Innovative

    We move fast and take big risks

  • Sincere

    We have no time for internal politics

  • Passionate

    We revel in what we do

  • Collaborative

    We recognise that we're all in this together

  • Playful

    We don't take ourselves too seriously

Benefits

  • Extensive learning opportunities

    Through our dedicated team, GreenHouse.

  • Flexible share incentives

    Letting you choose how you share in our success.

  • Global parental leave

    Six months off - fully paid - for all new parents.

  • All The Feels

    Our employee assistance program and self-care hub.

  • Flexible public holidays

    Swap days off according to your values and beliefs.