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Spotify Machine Learning Engineer Jobs (NOW HIRING)

Spotify

$184K - $262K/yr

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform ... Working at the intersection of machine learning, platform engineering, and regulatory compliance ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise and recent PySpark experience to build, deploy, and support production-ready machine learning ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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All JobsSpotify Machine Learning Engineer Jobs

Spotify Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do spotify machine learning engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for spotify machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a Spotify Machine Learning Engineer job?

A Spotify Machine Learning Engineer designs, develops, and optimizes machine learning models to enhance Spotify’s user experience, recommendation systems, and audio analysis. They work with large-scale datasets, experiment with algorithms, and collaborate with data scientists, engineers, and product teams. The role involves deploying models to production, ensuring scalability, and improving personalization for millions of users worldwide. Strong skills in Python, TensorFlow/PyTorch, and cloud computing are essential.

What are the key skills and qualifications needed to thrive in the Spotify Machine Learning Engineer position, and why are they important?

To thrive as a Spotify Machine Learning Engineer, you need strong expertise in machine learning, data analysis, programming (especially Python), and a relevant degree in computer science or a similar field. Proficiency with ML frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud or AWS), and experience with large-scale data processing tools are typically required. Strong problem-solving skills, collaboration, and clear communication help engineers work effectively within diverse, cross-functional teams. These skills enable innovation and ensure seamless integration of machine learning models that directly impact Spotify’s personalized user experiences.

What types of projects do Spotify Machine Learning Engineers typically work on?

Spotify Machine Learning Engineers commonly work on projects involving personalized recommendations, music discovery algorithms, user behavior modeling, and content categorization. These projects often require collaboration with data scientists, backend engineers, and product teams to translate business objectives into scalable ML solutions. The role offers the opportunity to solve complex, real-world challenges at scale, using extensive data to enhance user engagement and product functionality. Engineers regularly experiment with new techniques and iterate on models to deliver more relevant, innovative experiences to Spotify’s global audience.

More about Spotify Machine Learning Engineer jobs
What job categories do people searching Spotify Machine Learning Engineer jobs look for? The top searched job categories for Spotify Machine Learning Engineer jobs are:
Spotify Machine Learning Engineer jobs near you
Infographic showing various Spotify Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Senior Machine Learning Engineer - Policy & Safety

Spotify

New York, NY

$184K - $262K/yr

Other

Medical, Retirement, PTO

Posted 20 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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