Description:

We are seeking a Senior Machine Learning Engineer with strong expertise in data analysis, online experimentation techniques, and large-scale engineering systems.
This role will lead multiple strategic initiatives within our Supply Personalization team.
Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives.
By leveraging data and experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes using machine learning techniques combined with large scale experimentation.
The ideal candidate is motivated by user and business problems as much as by technical problems, and enjoys ambiguity, brainstorming, experimentation, and iteration.
You will work in close collaboration with key stakeholders across engineering, product, business, and leadership teams to build the most impactful solutions for our Spotify listeners and business.
Responsibilities include designing and implementing machine learning systems to optimize various targets continuously, researching and applying optimization strategies, partnering with multiple teams, analyzing data to understand user behavior, and collaborating with backend engineers, data scientists, data engineers, and product managers.

Requirements:

You have professional experience in applied machine learning.
You have strong technical expertise in software engineering, data analysis, and machine learning.
You are proficient in programming languages such as Python, Java, C++, or Scala.
You are skilled in SQL for data transformation and analysis.
You are experienced in designing online experiments for hypothesis testing and validation.
You have expertise in developing data pipelines using tools like Apache Beam or Spark.
As a plus, you may have experience with adtech, Recommender Systems, or Optimization Problems, as well as Bayesian optimization, Online learning, and Causal inference.

The United States base range for this position is $176,166.00 - $251,666.00, plus equity.
Benefits include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.
This range encompasses multiple levels, with leveling determined during the interview process based on relevant work history and interview performance.
Placement in a level depends on relevant work history and interview performance, and these ranges may be modified in the future.