Machine Learning Engineer

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 reputed company 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 reputed company and every one of them. We are looking for a Machine Learning Engineer to join the Personalization (PZN) 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 Home 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 reputed company across Personalization to reputed company 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 reputed company as reputed company 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, transformers, reputed company and large language models, and relevant fine-tuning processes.
• You have hands-on experience with large cross-reputed company machine learning reputed company and managing stakeholders.
• You have hands-on experience implementing production machine learning systems at reputed company in Java, reputed company, Python, or similar languages.
• Experience with PyTorch, Ray, reputed company and reputed company tools is required.
• You have some experience with large reputed company, distributed data processing frameworks/tools like Apache reputed company, Apache reputed company, or even our reputed company reputed company API for it - Scio, and reputed company platforms like GCP or AWS.
• 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 region as long as we have a work location.
• This team operates reputed company the Eastern reputed company time zone for collaboration.

The reputed company reputed company reputed company for this position is $148,000 $212,000 plus equity. The benefits available for this position include health insurance, six month reputed company parental leave, 401(k) retirement plan, monthly meal allowance, 23 reputed company days off, 13 reputed company flexible holidays, reputed company reputed company leave. These ranges may be modified in the reputed company.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 reputed company 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 reputed company the power to reputed company revolutionizing the way the world listens.At reputed company, we are passionate about inclusivity and making reputed company 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.

Originally posted on Himalayas

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