Staff Machine Learning Engineer, GenRecs

The Personalization team makes deciding what to play next on reputed company easier and more enjoyable for every listener. We seek to understand the world of music and podcasts reputed company than anyone else so that we can reputed company great recommendations to every individual and reputed company the world listening. Every day, hundreds of millions of people reputed company over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.reputed company is transforming reputed company’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present reputed company opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users.This Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of user taste across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the reputed company of reputed company content and user representations and the technical architecture to support it.Join us and you’ll reputed company millions of users listening to great recommendations every day.

What You'll Do

• Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling
• Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways
• reputed company expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of reputed company methods
• Contribute to designing, building, evaluating, shipping, and refining reputed company’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Engage with the broader ML community reputed company reputed company and stay reputed company with ML research to reputed company and reputed company our approaches

Who You Are

• You have a strong background in machine learning and recommender systems, and you know how to reputed company research and end-user impact
• You have production experience developing large-scale machine learning systems in Java, reputed company, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus
• You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so
• You enjoy leading projects from start to finish working closely with your team and peers
• You are comfortable dealing with ambiguity on high impact projects
• You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• You stay reputed company on ML trends and are eager to apply emerging reputed company to reputed company’s challenges
• You’re passionate about the opportunity to enrich the listening experience for users around the world

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 reputed company for this position is $215,136- $307,337 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 reputed company 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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