About Spotify
The ultimate destination for music and podcasts
Key Highlights
- 180 million+ paying subscribers worldwide
- $2.1 billion raised in Series G funding
- Acquired Gimlet Media, Anchor, and Parcast for podcasting
- Headquartered in Norrmalm, Stockholm with 1001+ employees
Spotify, headquartered in Norrmalm, Stockholm, is a leading commercial music streaming service with over 180 million paying subscribers globally. Founded to combat music piracy, Spotify has raised $2.1 billion in funding and is currently in its Series G stage. The platform not only offers a vast cat...
π Benefits
Spotify offers global parental leave with six months of fully paid time off for new parents, flexible public holidays to align with personal values, a...
π Culture
Spotify's culture is rooted in its mission to support creative artists while providing an accessible platform for fans. The company values innovation ...
Skills & Technologies
Overview
Spotify is hiring a Machine Learning Engineer II for their Ads Forecasting team to develop models that predict ad inventory and performance. You'll work with machine learning and AI engineering techniques in New York.
Job Description
Who you are
You have a strong background in machine learning model development and AI engineering, with experience in building and maintaining predictive models that drive business decisions. You thrive in environments that require online experimentation techniques and large-scale engineering systems, and you are motivated by solving user and business problems as much as technical challenges. You enjoy working collaboratively with cross-functional teams, including engineering, product, and business stakeholders, to create impactful solutions. You are comfortable with ambiguity and enjoy brainstorming and iterating on ideas to find the best outcomes.
Desirable
Experience with time-series modeling and familiarity with advertising technology would be a plus, as would a passion for audio and video platforms. You are eager to learn and adapt to new technologies and methodologies in the rapidly evolving field of machine learning.
What you'll do
In this role, you will lead strategic initiatives within the Ads Forecasting squad, focusing on building and maintaining models that predict future ad inventory, demand, and performance across Spotify's platform. You will leverage data and experimentation to provide accurate forecasts that optimize ad delivery and support key business decisions. Your work will involve employing both traditional machine learning techniques and state-of-the-art predictive modeling methods. You will collaborate closely with key stakeholders to ensure that the solutions you develop align with the needs of Spotify's listeners and business partners. You will also be responsible for iterating on existing models and systems to enhance their accuracy and effectiveness.
What we offer
Spotify offers a dynamic work environment where you can contribute to the development of a next-generation advertising platform. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to innovation in the advertising space. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of audio and video advertising at Spotify.
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