Remote Machine Learning Engineer II - Personalization

Description:

• The Personalization team at Spotify is focused on enhancing the listening experience by providing tailored recommendations for music and podcasts.
• The team is responsible for popular features like Blend and Discover Weekly, which are designed to help users decide what to listen to next.
• The Machine Learning Engineer II will work closely with engineers, research scientists, and data engineers to prototype and productize advanced machine learning models.
• The role involves developing and implementing production systems that improve listener experiences on the platform.
• Responsibilities include designing, building, evaluating, shipping, and refining Spotify’s products through hands-on machine learning development.
• The engineer will also drive optimization, testing, and tooling to enhance the quality of recommendations.
• Data analysis will be performed to establish baselines and inform product decisions.
• Collaboration with a cross-functional agile team is essential to build new technologies and features.
• Staying updated on the latest machine learning algorithms and techniques is a key part of the role.

Requirements:

• Candidates must have professional experience in applied machine learning.
• Extensive experience in a product and data-driven environment is required, with proficiency in Python, Scala, Java, SQL, or C++, and Python experience is mandatory.
• Hands-on experience in implementing or prototyping machine learning systems at scale is necessary.
• Experience in architecting data pipelines and self-sufficiency in data acquisition for model building and evaluation is required, using tools like Dataflow, Apache Beam, or Spark.
• A strong understanding of agile software processes, data-driven development, reliability, and disciplined experimentation is essential.
• Candidates should have experience and a passion for fostering collaborative teams.
• Familiarity with TensorFlow, PyTorch, and/or other scalable machine learning frameworks is required.
• Experience in building data pipelines and utilizing tools like Apache Beam or Spark for data needs is necessary.

Benefits:

• The position offers flexibility to work from anywhere within the EMEA region, with the exception of France due to on-call restrictions.
• The team operates within the Central European time zone to facilitate collaboration.
• Employees are encouraged to work in an environment that suits them best, promoting a healthy work-life balance.