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Entry Level Spotify Ux Jobs (NOW HIRING)

Spotify

Research Scientist - Generative Audio

New York, NY · Remote

$133K - $190K/yr

Learn more in our press release: -10-16/artist-first-ai-music-spotify-collaboration/ What You'll Do ... Previous industry experience is helpful. * You have experience in one or more of the following ...

Spotify

Research Scientist - Generative Audio

New York, NY · On-site +1

$133K - $190K/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

Research Scientist - Generative Audio

New York, NY · On-site

$133K - $190K/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 ...

IBM

Entry Level Designer-Austin-TX

Austin, TX · On-site

$82 - $122/hr

Strong understanding of User Experience (UX) and User Interface (UI) design principles ... Job Title Entry Level Designer-Austin-TX Date posted 24-Aug-2026 Job ID 130387 City / Township ...

Worky

Entry-Level UI Developer

Virginia, MN · On-site

$60 - $85/hr

SAIC is currently seeking an Entry-Level UI Developer (React and Angular UI development experience) to join our team in Ashburn, VA. The candidate will be responsible for developing code as dictated ...

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All JobsSpotify Ux JobsEntry Level Spotify Ux Jobs

Entry Level Spotify Ux information

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$75K

$120.1K

$157K

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

As of Sep 5, 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.

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.

More about Entry Level Spotify Ux jobs

What are the most commonly searched types of Spotify Ux jobs?

The most popular types of Spotify Ux jobs are:

What states have the most Entry Level Spotify Ux jobs?

States with the most job openings for Entry Level Spotify Ux jobs include:

What job categories do people searching Entry Level Spotify Ux jobs look for?

The top searched job categories for Entry Level Spotify Ux jobs are:

Entry Level Spotify Ux jobs near you
Infographic showing various Entry Level Spotify Ux job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $120,088 per year, or $57.7 per hour.

Staff Machine Learning Engineer - Policy & Safety

Spotify

New York, NY • On-site

$227K - $324K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

About the Team
The Policy & Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform.

Our work sits on the critical path of every new content type and product experience-from messaging and comments to collaborative and agentic features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that as Spotify evolves, safety is built in from the start-not added later.

What You Will Do
  • Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
  • Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
  • Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
  • Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
  • Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
  • Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
  • Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
  • Mentor and support other machine learning engineers, helping raise the bar across the team
Who You Are
  • You have experience building and shipping production-grade machine learning systems at scale
  • You have strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
  • You have worked with multimodal machine learning systems across text, audio, image, or video domains
  • You are experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement
  • You are comfortable translating complex requirements into technical solutions, including regulatory or policy constraints
  • You have experience working across teams and influencing technical direction in large-scale systems
  • You are comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk
  • You communicate clearly and collaborate effectively with both technical and non-technical stakeholders
Where You Will Be
  • This role is based in New York, NY
  • 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 $227,495-$324,993 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, 13 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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