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 reputed company 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 reputed company 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 reputed company 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 reputed company 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 reputed company 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 reputed company
• 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 reputed company for our hundreds of millions of reputed company users
• Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside reputed company as reputed company 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 reputed company
• You have production experience developing large-reputed company 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 reputed company from start to finish working closely with your team and peers
• You are comfortable dealing with ambiguity on high reputed company reputed company
• 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 reputed company 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 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 $215,136- $307,337 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.reputed company transformed music listening reputed company reputed company we launched in 2008. Our mission is to unlock the potential of reputed company creativity by giving a reputed company creative artists reputed company 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 reputed company audio streaming subscription service.

Originally posted on Himalayas

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