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Entry Level Spotify Ux Jobs (NOW HIRING)

Spotify

Research Scientist - Music

Spotify is seeking a Research Scientist to join their Artist-First AI Music lab. The role involves ... user researchers, and analysts--to craft innovative solutions to complex challenges. • Have a ...

Spotify

Staff Machine Learning Engineer

New York, NY · On-site

$227K - $324K/yr

... drives user satisfaction with Spotify - and who make impactful changes to Home recommendation ... Experience with PyTorch, Ray, Hugging Face and related tools is required. * You have some ...

Spotify

Senior Research Scientist - Music

$100K - $128K/yr

Spotify is a leading music streaming service, and they are seeking a Senior Research Scientist to ... Previous industry experience is helpful. • You have experience in one or more of the following ...

Spotify

Full Stack Engineer - Podcast

... user-facing layers, and collaborating with cross-functional teams to improve the creator experience ... Spotify is a commercial music streaming service that provides restricted digital content from a ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

... drives user satisfaction with Spotify - and who make impactful changes to Home recommendation ... Experience with PyTorch, Ray, Hugging Face and related tools is required. * You have some ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

... drives user satisfaction with Spotify - and who make impactful changes to Home recommendation ... Experience with PyTorch, Ray, Hugging Face and related tools is required. * You have some ...

Spotify

Senior Research Scientist - Music

New York, NY · On-site +1

$107K - $137K/yr

Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of ... Previous industry experience is helpful. * You have experience in one or more of the following ...

Spotify

Senior Research Scientist - Music

New York, NY

$107K - $137K/yr

Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of ... Previous industry experience is helpful. * You have experience in one or more of the following ...

Spotify

Staff Machine Learning Engineer

Spotify is a leading audio streaming subscription service that aims to unlock the potential of ... Experience with PyTorch, Ray, Hugging Face and related tools is required. • You have some ...

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Entry Level Spotify Ux information

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$120.1K

$157K

How much do entry level spotify ux jobs pay per year?

As of Jun 10, 2026, the average yearly pay for entry level spotify ux in the United States is $120,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $116,500.00 per year, depending on experience, location, and employer.

How much do UX designers make at Spotify?

Entry-level UX designers at Spotify typically earn between $70,000 and $90,000 annually, depending on location and experience. Salaries can increase with additional skills in user research, prototyping tools, and cross-functional collaboration.

What is the difference between Entry Level Spotify Ux vs Entry Level Product Designer?

AspectEntry Level Spotify UxEntry Level Product Designer
Required SkillsUX research, wireframing, prototyping, user testingUI design, user research, wireframing, prototyping
Work EnvironmentCollaborative, cross-functional teams within tech and entertainmentDesign-focused teams in tech, media, or entertainment companies
Common UsageFocuses on user experience and interaction design for streaming appEncompasses broader product design including UI and visual elements

Entry Level Spotify Ux roles primarily focus on creating seamless user experiences through research and interaction design, while Entry Level Product Designer roles often include both UX and UI responsibilities, emphasizing visual design alongside user experience. Both roles require similar skills but differ in scope and focus within the product development process.

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Entry Level Spotify Ux jobs near you

Senior Machine Learning Engineer, Personalization, Rewards

Spotify

New York, NY • Remote

$184K - $262K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

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.
 

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