What You'll Do
As a Senior Machine Learning Engineer at Spotify, you will be part of the Hendrix Serving team, dedicated to developing a robust, company-wide platform for serving machine learning models. This platform is designed to streamline the productization of ML models by mitigating the incidental complexities involved in crafting backend services for serving predictions.
Your responsibilities will include:
- Collaborating with other Machine Learning Engineers, Researchers, and various Product teams to deliver scalable inference services that meet the timelines and specifications of given requirements.
- Working independently and collaboratively on squad projects that often require learning and applying new technologies that may go beyond existing skills.
- Designing, documenting, and implementing reliable, testable, and maintainable solutions for ML infrastructure capabilities.
Who You Are
- You have 3+ years of hands-on experience implementing production machine learning infrastructure at scale in Python, Java, or similar languages.
- You have a general understanding of data pipelines.
- You are familiar with agile software processes and modular code design following industry standards.
Where You'll Be
- Hybrid role based in our New York office (average 2 to 3 days a week required).
- Working hours? We operate within the Eastern time zone for collaboration.
Benefits and Perks
- Health insurance
- Six month paid parental leave
- 401(k) retirement plan
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
This position offers a competitive salary range and equity. The United States base range for this position is $136,878.00 - $195,540.00 plus equity. Leveling is determined during the interview process based on relevant work history and interview performance.
Benefits Extracted with AI
- 401(k)
- Medical insurance
- Six month paid parental leave
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
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