Machine Learning Engineer
1 month ago
We're seeking a skilled Machine Learning Engineer to contribute to the development of Spotify's messaging optimization platform. The ideal candidate will have a strong background in machine learning, theory, and practice, and be comfortable explaining the intuition and assumptions behind ML concepts.
Key Responsibilities:
- Design, build, evaluate, ship, and refine Spotify's product by hands-on ML development.
- Collaborate with a multi-functional agile team to build new product features that advance our mission to connect artists and fans in personalized and relevant ways.
- Drive optimisation, testing, and tooling to improve quality.
- Be part of an active group of machine learning practitioners in your mission and across Spotify.
Requirements:
- Strong background in machine learning, theory, and practice.
- Comfortable explaining the intuition and assumptions behind ML concepts.
- Hands-on experience implementing and maintaining production ML systems in Python, Scala, and using libraries like TensorFlow or PyTorch.
- Experience with building data pipelines and self-sufficiency in getting the data needed to build and evaluate models.
- Preferably experience with cloud platforms like GCP or AWS.
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for growth and professional development.
- A competitive salary and benefits package.
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