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Spotify Research Jobs (NOW HIRING)

Spotify

Full Stack Engineer - Podcast

New York, NY · On-site +1

$150K - $189K/yr

Podcast R&D is a product and technology team within Podcast Vertical at Spotify, focused on building best-in-class tools for creators. We own the platforms, tools, and features that power the creator ...

Spotify

Full Stack Engineer - Podcast

New York, NY

$150K - $189K/yr

Podcast R&D is a product and technology team within Podcast Vertical at Spotify, focused on building best-in-class tools for creators. We own the platforms, tools, and features that power the creator ...

Spotify

Platform Integrity Lead

New York, NY

$114K - $163K/yr

... Spotify's Ads business, ensuring fast, coordinated, and effective resolution * Act as the central point of coordination across Ads R&D, Sales, Advertiser Solutions, Business Operations, Finance ...

Spotify

Frontend Engineer - Music

New York, NY

$133K - $190K/yr

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Contribute to product discovery and ideation with engineers, researchers, and product specialists

Spotify

Platform Integrity Lead

New York, NY · On-site +1

$114K - $163K/yr

... Spotify's Ads business, ensuring fast, coordinated, and effective resolution * Act as the central point of coordination across Ads R&D, Sales, Advertiser Solutions, Business Operations, Finance ...

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

Full Stack Engineer - Podcast

Spotify is a leading audio streaming subscription service, and they are seeking a Full Stack Engineer to join their Podcast R&D team. This role involves designing, building, and maintaining scalable ...

Spotify

Full Stack Engineer - Podcast

Spotify is a leading audio streaming subscription service, and they are seeking a Full Stack Engineer to join their Podcast R&D team. The role focuses on building tools for creators and enhancing the ...

Spotify

Full Stack Engineer - Podcast

Spotify is a leading audio streaming service, and they are seeking a Full Stack Engineer to join their Podcast R&D team. This role involves designing and maintaining scalable backend services ...

Spotify

Manager, Partner Product and Delivery

Miami, FL · On-site

$70K - $101K/yr

Ensure that Spotify's commitments in a partner relationship are delivered, as well as follow-up on ... Develop our tooling together with R&D to make sure we can scale the business. Who You Are

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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
Infographic showing various Spotify Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Machine Learning Engineer - Ads R&D

Spotify

New York, NY • On-site, Remote

$184K - $262K/yr

Other

Medical, Retirement, PTO

Re-posted 24 days ago

Job description

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.
We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.
We are looking for someone with strong expertise in data analysis, online experimentation techniques, and large-scale ML and engineering systems; someone who is motivated by user and business problems as much as they are by technical problems, and who thrives under ambiguity, experimentation, and iteration. You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.
What You'll Do
  • Design and implement machine learning systems for ad performance optimization.
  • Research and apply ML optimization strategies to balance multiple objectives effectively.
  • Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
  • Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.

Who You Are
  • You have professional experience in applied machine learning.
  • You have strong technical expertise in software engineering, data analysis, and machine learning.
  • You are proficient in programming languages such as Python, Java, or Scala.
  • Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle
  • You have expertise in developing data pipelines using tools like Apache Beam or Spark.
  • As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.

Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
  • This team operates within the U.S. Eastern time zone for collaboration.

The United States base range for this position is $184,050.00 - $262,928.00, 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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