Senior Machine Learning Engineer – Podcast Content Understanding, AdTech
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!We are looking for a Senior Machine Learning Engineer to join the Podcast Brand Safety product area. As a part of our team, you will be involved in the research and development of ML models in the podcast content understanding space. By joining the Brand Safety ML team at an early stage in product development, you will have high impact potential and be instrumental in the design and implementation of Spotify’s brand safety solution.
What you'll do
- Research and develop state-of-the-art machine learning and deep learning techniques in the podcast content understanding space to enable brand safe ad placement
- Keep apprised of cutting edge developments in ML literature
- Prototype new approaches and develop solutions that scale
- Set and evangelize standards for rigorous experimentation practices
- Thoughtfully communicate your work and experience through both internal collaborations and mentorship opportunities
- Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features.
Who you are
- You have deep domain expertise in NLU related problem areas and/or representation learning (experience with Knowledge Graphs is a plus)
- You have hands-on experience implementing machine learning systems at scale in Python
- You have a strong background in machine learning foundations, architectures and software development with a focus on deep learning algorithms
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
- You have experience and passion for fostering collaborative teams.
- Experience with pyTorch, TensorFlow, and/or Google Cloud Platform is a plus.
- Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus.
Where you'll be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Data pipelines Deep Learning Engineering GCP Google Cloud Machine Learning ML models Pipelines Python PyTorch Research Spark Streaming TensorFlow
Perks/benefits: Career development Home office stipend
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