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Spotify Research Jobs (NOW HIRING)

PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&D teams to confidently expand into new products, markets, and ...

PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&D teams to confidently expand into new products, markets, and ...

Product Designer - Advertising

New York, NY · On-site +1

$119K - $170K/yr

We're looking for a mid-level product designer to join our Advertising R&D team. You'll own design quality and cohesion across a set of features in Spotify's advertiser-facing tools, working on high ...

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 ...

Frontend Engineer - Music

New York, NY · On-site +1

$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

Define and lead Spotify's global podcast policy strategy, translating business priorities into clear, actionable frameworks * Partner closely with Trust & Safety, Product R&D, Legal, Editorial, and ...

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

We're looking for a mid-level product designer to join our Advertising R&D team. You'll own design quality and cohesion across a set of features in Spotify's advertiser-facing tools, working on high ...

Machine Learning Engineer

Manhattan, 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 ...

You'll work closely with Product, Engineering, Design, and Research to shape decisions that impact millions of users around the world. What You'll Do * Explore how listeners experience Spotify ...

Platform Integrity Lead

New York, NY · On-site +1

$91K - $130K/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 ...

Data Scientist

New York, NY · On-site

$108K - $135K/yr

The Podcast & Video Analytics team sits within Spotify's Content Analytics organisation and ... Act as a core analytics partner to Podcast & Video content teams, providing deep-dive research 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:

Data Scientist II - Trust & Safety

Spotify

Boston, MA • On-site

$117K - $167K/yr

Other

Medical, Retirement, PTO

Posted 4 days ago


Job description

Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust & Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&D teams to confidently expand into new products, markets, and technologies.

PTI's research informs how Spotify designs, launches, and improves features across the platform, with a particular focus on AI-powered experiences, recommendations, social and messaging surfaces, and the safety needs of younger users. Our work helps product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes.

This role will partner with other Trust & Safety teams to ensure that product and policy decisions are grounded in rigorous evidence. The work spans pre-launch risk assessment, evaluation of AI features and agentic systems, longitudinal safety measurement, and research into how high-risk user populations experience the platform. Trust & Safety's mission is to keep Spotify safe for creators, advertisers, and listeners, and PTI's contribution is the evidence base that makes safer product decisions possible.

What You'll Do
  • Lead end-to-end research and measurement projects that evaluate the safety of new and existing features, from scoping through delivery of actionable recommendations
  • Design and generate data for product risk assessments, stress tests, and evaluation of AI-powered features, including generative and agentic experiences
  • Develop longitudinal trust and safety metrics and use them to evaluate the effectiveness of product interventions over time
  • Translate complex research findings into clear narratives, tools, and recommendations for product, policy, and leadership audiences
  • Partner with product safety specialists, policy advisors, product leads, and engineering counterparts to ensure product launches reflect user safety needs and support thoughtful, "no regrets" design
  • Build and improve evaluation methods, including LLM-based evaluation approaches, behavioral instrumentation, and measurement frameworks in collaboration with data scientists and engineers
  • You will work closely with product managers, designers, engineers, policy specialists, researchers, and other data scientists. Your work will help inform decisions that often involve senior leadership.
Who You Are
  • You have 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain
  • You are experienced with SQL and Python and are comfortable working across quantitative and qualitative evidence
  • You have hands-on familiarity with modern AI and machine learning systems, including recommendation systems and large language models, and understand how risks emerge from system design
  • You are comfortable scoping ambiguous problems, including early-stage or zero-to-one research areas, and prioritizing them in a fast-moving environment
  • You communicate clearly with both technical and non-technical audiences, including explaining methodological choices to policy partners and leadership
  • You care about turning research into practice and are comfortable making concrete, evidence-based recommendations
  • You bring a thoughtful perspective on responsible product innovation and how to measure and improve platform safety
Where You'll Be
  • This role is based in New York or Boston
  • 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
  • This team operates within the Eastern Standard time zone for collaboration
The United States base range for this position is $117,000 - $167,000 USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
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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