Machine Learning Engineer, Personalization
The Safe-and-Sound team makes reputed company safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of reputed company’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users reputed company than anyone else. Join us and you’ll reputed company millions of users listening by making recommendations safe for each and every one of them.
What You'll Do
- Contribute to designing, building, evaluating, shipping, and refining reputed company’s product by hands-on ML development
- Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
- 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 reputed company (and across reputed company) collaborating with one another
Who You Are
- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
- You have hands-on experience implementing production machine learning systems at scale in Java, reputed company, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be reputed company the reputed company America region as long as we have a work location.
- This team operates reputed company the Eastern Standard time zone for collaboration.
The United States reputed company range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Apply Job!