Senior Machine Learning Engineer, Rewards

Spotify AB; New York (NY); Hybrid; USD 176,000 - 252,000; Full time

Job summary

Spotify's Personalization team is seeking a Senior Machine Learning Engineer to enhance user recommendations through innovative ML solutions. You will lead collaborations, develop impactful systems, and enjoy extensive learning opportunities in a flexible work environment. Join us to make a difference in millions of users' listening experiences.

Benefits

Flexible share incentives

Global parental leave (six months paid)

Employee assistance program

Flexible public holidays

Monthly meal allowance

Comprehensive health insurance

401(k) retirement plan

23 paid days off

13 paid flexible holidays

Paid sick leave

Qualifications

• Strong background in machine learning with real-world application.
• Experience managing stakeholders in large ML projects.
• Hands-on experience with production ML systems at scale.

Responsibilities

• Design and refine reward signals for recommendations using ML.
• Integrate and A/B test signals in recommendation systems.
• Promote best practices in ML systems development.

Skills

Machine Learning

Statistics

Optimization

Agile Software Processes

Education

Computer Science or related field

Tools

Java

Scala

Python

TensorFlow

PyTorch

Scikit-learn

Apache Spark

GCP

AWS

Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

Location

• New York

Job type

Permanent

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 Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, 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
• Lead 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 develop real-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, Scala, 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 source API for it - Scio, and cloud 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 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 - 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.