Senior Machine Learning Engineer, Home Podcast

Spotify AB; Town of Boston (NY); Hybrid; USD 176,000 - 252,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer, where your expertise in personalization and recommender systems will help shape the future of podcast recommendations. You will lead technical projects, collaborate with talented teams, and develop innovative ML models that enhance user experience for millions of listeners. With extensive learning opportunities and a commitment to inclusivity, this role offers a unique chance to make a significant impact in the world of audio streaming. Embrace flexibility in your work location while contributing to a mission-driven organization that values creativity and diversity.

Benefits

Health Insurance

Six Months Paid Parental Leave

401(k) Retirement Plan

Monthly Meal Allowance

Paid Sick Leave

Flexible Public Holidays

Employee Assistance Program

Learning Opportunities

Qualifications

• Experience in designing and building ML systems.
• Strong background in recommender systems and feature engineering.

Responsibilities

• Lead technical projects and collaborate with cross-functional teams.
• Architect and deploy ML models for podcast recommendations.

Skills

Machine Learning

Recommender Systems

Deep Learning

Causal Inference

Contextual Bandits

Feature Engineering

Data Pipelines

Education

Bachelor's in Computer Science or related field

Master's in Machine Learning or related field

Tools

TensorFlow

PyTorch

Kubeflow

Ray

Scio

Job description

The Home Podcasts team within Spotify’s Personalization Mission focuses on what podcasts to recommend on Spotify’s Homepage and where, by building the model to rank and find the perfect podcast content, fully tailored to each user. We are looking for a Machine Learning Engineer who is passionate about personalization ML models, recommender systems and disciplines included but not limited to contextual bandits, causal inference, deep learning, and generative recommenders, which are actively used and expanded by our teams. Join us and you’ll keep millions of users listening by making great recommendations to the Spotify Homepage. For the purposes of collaboration, we ask that our team members operate in the Eastern time zone.

Locations

• New York

Job type

Permanent

What You'll Do

• Be a technical leader within the team you work with and within Spotify in general
• Coordinate technical projects across teams within SpotifyFacilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems for delivering various media worldwide
• Be a valued member of an autonomous, cross-functional agile team
• Architect, design, develop, and deploy ML models that will serve podcast recommendations across the Home, Podcast Subfeed, and NPV surfaces
• Be a leader in Home’s ML community and work collaboratively and efficiently within Home’s existing platforms and systems.

Who You Are

• You have experience being a technical leader or mentorYou have a strong background in machine learning, especially experience with recommender systems
• You have experience in designing and building ML systems at Spotify (including experience in spotify-kubeflow and salem)
• You are experienced with feature engineering and building scalable data pipelines in Scio
• You have a deep understanding of ML systems and infrastructure
• You have experience in Tensorflow or PyTorch. Experience with Kubeflow, Ray is a plus.

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
• This team operates within the Eastern Standard time zone for collaboration.

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

The United States base 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.

Spotify is an equal opportunity employer. You are welcome at Spotify 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 all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, 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.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human 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.