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Trainee Spotify Ux Jobs (NOW HIRING)

Spotify

$184K - $262K/yr

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform ... You care about building safe, responsible, and user-centric ML systems * You are comfortable ...

Spotify

Research Scientist - Personalization

New York, NY · On-site

$133K - $190K/yr

Spotify's Personalization organization builds the technology that helps millions of listeners ... You have 2+ years of experience conducting research in machine learning or AI, ideally in an ...

Spotify

Research Scientist - Personalization

Boston, MA · On-site +1

$133K - $190K/yr

Spotify's Personalization organization builds the technology that helps millions of listeners ... You have 2+ years of experience conducting research in machine learning or AI, ideally in an ...

Spotify

Head of Backstage Marketing

New York, NY · On-site

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... You have 10+ years of experience in B2B SaaS, growth marketing, or product marketing * You have 5+ ...

Spotify

Head of Backstage Marketing

New York, NY · On-site

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... You have 10+ years of experience in B2B SaaS, growth marketing, or product marketing * You have 5+ ...

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 ...

Modern Life

Design Lead

New York, NY · On-site

$180K - $220K/yr

... Spotify, and Slack), New York Life, and Northwestern Mutual. Join a passionate team of product ... Drive design and user experience across Modern Life's product and brand presence * Define, launch ...

Jobsbridge

Front End JavaScript Developer

Chicago, IL · On-site

... Spotify APIs. Experience Debugging CSS layout issues Experience with jQuery Experience with building responsive websites that create a positive user experience Must be up to date with latest UI ...

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Trainee Spotify Ux information

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How much do trainee spotify ux jobs pay per year?

As of Aug 8, 2026, the average yearly pay for trainee spotify ux in the United States is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $51,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Spotify Ux jobs? The most popular types of Spotify Ux jobs are:
Trainee Spotify Ux jobs near you
Infographic showing various Trainee Spotify Ux job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $43,530 per year, or $20.9 per hour.

Senior Machine Learning Engineer - Policy & Safety

Spotify

New York, NY • On-site

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 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.


The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They're on the critical path for every new content type and social feature - including messaging, comments, and collaborative experiences - ensuring safety is built in from day one. With a strong focus on "safety by default," the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

What You'll Do

  • Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale

  • Own and lead key technical initiatives across detection, classification, and policy evaluation systems

  • Develop and maintain ML models for content moderation, including multimodal and LLM-based systems

  • Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops

  • Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems

  • Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs

  • Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization

  • Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Who You Are

  • You have solid experience building and deploying machine learning systems in production environments at scale

  • You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch

  • You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems

  • You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains

  • You care about building safe, responsible, and user-centric ML systems

  • You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders

  • You have experience leading technical projects and influencing direction within a team or product area

  • You have experience with distributed systems or backend technologies (e.g., Scala)

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 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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