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Spotify Research Jobs (NOW HIRING)

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

... Spotify's promotional performance with hands-on ML development * Collaborate with a ... Work with Data and ML Engineers to support transitioning machine learning models from research and ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

... Spotify's promotional performance with hands-on ML development * Collaborate with a ... Work with Data and ML Engineers to support transitioning machine learning models from research and ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

... Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

... Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and ...

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Spotify Research information

What are the key skills and qualifications needed to thrive as a Spotify Researcher, and why are they important?

To thrive as a Spotify Researcher, you need a strong background in computer science, data analysis, and machine learning, often supported by an advanced degree (Master’s or PhD) in a relevant field. Familiarity with programming languages such as Python, data processing frameworks, and research tools like TensorFlow or PyTorch is typically required. Strong problem-solving, communication, and collaboration skills set outstanding candidates apart in this multidisciplinary environment. These skills are crucial for developing innovative solutions, advancing Spotify’s technology, and translating research insights into impactful products.

What is the difference between Spotify Research vs Data Scientist?

AspectSpotify ResearchData Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch teams focused on innovative projects, experimental analysisCross-functional teams applying data analysis to product development
Employer & Industry UsagePrimarily in research labs, tech companies, and R&D departmentsWidely in tech, finance, healthcare, and other data-driven industries

Spotify Research specializes in innovative, experimental research to improve products, often requiring advanced degrees. Data Scientists focus on analyzing data to inform business decisions and product features. Both roles require strong analytical skills but differ in their focus on research versus applied data analysis.

How does a Spotify Researcher typically collaborate with product and engineering teams?

Spotify Researchers regularly work alongside product managers and engineers to translate research findings into actionable product improvements. This collaboration often involves presenting insights, co-creating user personas, and participating in design sprints to ensure user needs are at the forefront of product development. Researchers may also help prioritize features based on user data and feedback, making strong communication and teamwork essential skills for the role.

What is Spotify Research?

Spotify Research is a division within Spotify focused on advancing scientific and technological innovation in areas such as machine learning, audio analysis, user personalization, natural language processing, and music information retrieval. Researchers at Spotify work on developing new algorithms and systems to improve the Spotify platform, enhance user experiences, and drive the future of streaming audio. Their work often results in published papers, open-source tools, and collaborations with the wider academic and research community.
More about Spotify Research jobs
What job categories do people searching Spotify Research jobs look for? The top searched job categories for Spotify Research jobs are:
Spotify Research jobs near you

Senior Machine Learning Engineer, Personalization, Rewards

Spotify

Manhattan, NY

$184K - $262K/yr

Other

Medical, Retirement, PTO

Posted 4 days ago

Job description

Machine Learning Engineer

The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs). We drive massive impact across all recommendations discovery surfaces by moving beyond simple clicks to model and optimize for true long-term user satisfaction. Our core mission is to bridge discovery with lasting listening habits by developing and deploying sophisticated, mid-term behavioral reward signals—such as retention and habit formation metrics—that directly shape the LLM-powered recommendation experience.

We are looking for a Machine Learning Engineer to make impactful changes to our recommendations and discovery algorithms. 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 and discovery systems.
  • Promote and role-model best practices of ML systems development, testing, and evaluation throughout the organization.
  • In your first 6 months, you will be responsible for ML development: prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify.
Who You Are
  • You have a strong background in machine learning and enjoy applying theory to develop real-world applications.
  • Reinforcement Learning (RL) expertise is key, and experience in RL for recommendations is a must have.
  • Expertise in statistics and optimization, especially in sequential models, transformers, generative AI, large language models (LLMs are a plus), and relevant fine-tuning processes.
Where You'll Be
  • This role is based in New York
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

The United States base range for this position is $184,050- $262,928 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.

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