Associate Machine Learning Engineer, Trust & Safety Intelligence at Spotify

New York, New York, United States

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Music StreamingIndustries

Requirements

Passionate about using AI to make digital spaces safer and more inclusive
Working knowledge of machine learning fundamentals and hands-on experience with Python and modern ML frameworks like PyTorch or TensorFlow
Experience working with large datasets, model evaluation, and data exploration in SQL or similar tools
Knowledge and/or experience building workflows that integrate LLMs and data into autonomous, multi-step workflows
Collaborates well with others and communicates clearly across disciplines
1+ years of experience (academic or professional) applying ML, NLP, or data science methods to real-world problems
Eager to learn continuously, refine your craft, and contribute to technology that makes a real impact

Responsibilities

Build and evaluate ML models that identify, prioritize, and mitigate harmful or risky behavior on the platform
Support model monitoring and performance tracking to ensure reliability, transparency, and accountability
Develop scalable ML pipelines using standard best practices for model development and deployment
Explore emerging GenAI tools and frameworks to identify practical, compliant use cases that improve workflow efficiency
Communicate results clearly and document technical decisions to promote shared understanding across teams
Collaborate with cross-functional partners in engineering, data, policy, and product to align technical outcomes with safety and compliance goals

Skills

Key technologies and capabilities for this role

PythonPyTorchTensorFlowMachine LearningML PipelinesModel DeploymentGenAIModel Monitoring

Questions & Answers

Common questions about this position

What is the salary range for the Associate Machine Learning Engineer position?

The United States base range for this position is $68,526 - $97,894, plus equity.

Is this role remote or does it require office work?

The role offers flexibility to work where you work best within the United States region as long as there is a work location, and the team operates within the Eastern Time Zone for collaboration.

What skills are required for this Associate Machine Learning Engineer role?

Required skills include working knowledge of machine learning fundamentals and hands-on experience with Python and modern ML frameworks like PyTorch or TensorFlow, experience with large datasets, model evaluation, and data exploration in SQL or similar tools, and 1+ years of experience applying ML, NLP, or data science methods to real-world problems.

What benefits are offered for this position?

Benefits include health insurance, six months paid parental leave, 401(k) retirement plan, monthly meal allowance, and 23 paid days off.

What makes a strong candidate for this role?

Strong candidates are passionate about using AI for safer digital spaces, have hands-on ML experience with Python and frameworks like PyTorch or TensorFlow, collaborate well across disciplines, and show eagerness to learn and contribute to impactful technology.

Spotify

Digital music streaming service with podcasts

About Spotify

Spotify provides a digital music streaming service that allows users to access millions of songs and podcasts from various artists and creators. Users can choose between a free plan, which includes advertisements, and a premium subscription that offers an ad-free experience along with features like offline listening and higher sound quality. This tiered model caters to different user preferences and budgets. Spotify generates revenue through subscription fees from premium users and advertising from the free tier. Unlike its competitors, Spotify stands out with its extensive music library, user-friendly interface, and personalized playlists. The company's goal is to connect listeners with a wide range of audio content while supporting artists and advertisers.

Stockholms kommun, SwedenHeadquarters

2006Year Founded

$2,004.2MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

10,001+Employees

Benefits

Extensive learning opportunities, through our dedicated team, GreenHouse

Global parental leave, six months off - fully paid - for all new parents

Flexible public holidays, swap days off according to your values and beliefs

Flexible share incentives letting you choose how you share in our success

All The Feels, our employee assistance program and self-care hub

Spotify On Tour, join your colleagues on trips to industry festivals and events

Risks

Accidental display of adult content may harm Spotify's reputation.

Creating its own music to avoid royalties could lead to legal issues.

Layoffs may affect Spotify's operational efficiency and employee morale.

Differentiation

Spotify offers a vast library of music and podcasts globally.

The platform's user-friendly interface enhances user experience and engagement.

Spotify's personalized playlists cater to individual user preferences.

Upsides

Spotify's AI-powered Wrapped feature enhances user engagement and personalization.

Expansion into political podcasting taps into new audience segments.

Growing podcast popularity in Africa presents expansion opportunities for Spotify.

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