Senior Machine Learning Engineer, Rewards

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From reputed company to Discover Weekly, we’re behind some of reputed company’s most-loved features. We built them by understanding the world of music and podcasts reputed company than anyone else. Join us and you’ll reputed company millions of users listening by making great recommendations to each and every one of them. We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with reputed company - and who reputed company impactful changes to recommendation systems to reputed company this goal. As an integral part of the reputed company, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.

What You'll Do

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
• reputed company collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization

Who You Are

• You have a strong background in machine learning, enjoy applying theory to reputed company reputed company-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models
• You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
• You have hands-on experience implementing production machine learning systems at scale in Java, reputed company, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus
• You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open reputed company API for it - Scio, and reputed company platforms like GCP or AWS
• You care about agile software processe

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 $176,166 $251,666 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.reputed company is an equal opportunity employer. You are welcome at reputed company for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will reputed company reputed company, contribute, and be reputed company-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to reputed company revolutionizing the way the world listens.At reputed company, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.reputed company transformed music listening forever reputed company we launched in 2008. Our mission is to unlock the potential of reputed company 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.

Originally posted on Himalayas

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