Senior Machine Learning Engineer - Finance
New York City
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!What you'll do
- Contribute to designing, building, evaluating, shipping, and refining our tools by hands-on ML development.
- Collaborate with a cross functional agile team spanning data scientist, data engineering, product management, and business experts to build new product features that advance our mission to understand our platform and help us sustainably grow as a business.
- Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users.
- Help drive optimization, testing, and tooling to improve quality.
- Be part of an active group of machine learning practitioners in New York.
- Mentor more junior members of the team on mathematical modeling and ML best practices.
Who you are
- You have a strong background in machine learning, mathematical modeling and statistics.
- You have hands-on experience implementing production machine learning systems at scale in Python, or similar languages. Experience with XGBoost, TensorFlow or PyTorch is also a plus.
- You preferably have experience with data pipeline tools such as Google Dataflow, Apache Beam/Scio, Spark or Flink, and cloud platforms like GCP or AWS. Experience with distributed systems is a plus.
- You are comfortable writing SQL queries, exploring data, and developing good hypotheses for product improvements
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
- Be an active contributor and technical leader to machine learning practitioners within AIR and Spotify.
- You like to operate at the cutting edge of ML technology and welcome challenging problems.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 320 million users.
Tags: Agile AWS Dataflow Distributed Systems Engineering Finance Flink GCP Machine Learning Python PyTorch Spark SQL Statistics Streaming TensorFlow Testing XGBoost
Perks/benefits: Career development
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