Talantix.io
Spotify•13.02.26
AI SCORE 8.4

Remote Associate Machine Learning Engineer - Trust & Safety

$90K–$120K/year
RemoteAI/Big Data
Python•Machine Learning•AI Systems•Data Privacy•GenAI

About the Role

We're hiring a Remote Associate Machine Learning Engineer to join our Trust & Safety Intelligence team at Spotify. This role is pivotal in ensuring that our platform remains a safe and welcoming space for creativity. As a Remote Associate Machine Learning Engineer, you will help develop AI and ML systems that enhance our ability to detect, review, and manage risky or non-compliant activity.

What You'll Do

  • Collaborate with engineers, data scientists, and policy partners to design and evaluate machine learning models.
  • Automate performance tracking to improve the efficiency of our moderation operations.
  • Enhance transparency and auditability of AI systems used in Trust & Safety.
  • Work on scaling AI systems that uphold global compliance standards.
  • Contribute to the expansion of GenAI applications to support policy specialists.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience with machine learning frameworks and tools.
  • Strong programming skills in Python or similar languages.
  • Familiarity with AI system design and implementation.
  • Ability to work collaboratively in a fast-paced environment.

Nice to Have

  • Experience in Trust & Safety or compliance-related projects.
  • Knowledge of data privacy regulations.
  • Familiarity with GenAI technologies.

What We Offer

  • Competitive salary and benefits package.
  • Remote work flexibility.
  • Opportunities for professional development and growth.
  • A collaborative and inclusive work environment.
  • Access to cutting-edge technology and resources.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.4 of 10

This role offers a unique opportunity to work at Spotify, contributing to AI systems that enhance user safety. Competitive salary and remote flexibility make it a great choice for aspiring engineers.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python programming and familiar with libraries such as TensorFlow and Scikit-learn to develop machine learning models tailored for Trust & Safety applications.

→

Self-motivated with strong time management skills suitable for remote work, enabling effective collaboration across teams and adherence to project deadlines without direct supervision.

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Keen understanding of data privacy regulations and best practices, with a proactive mindset towards implementing ethical AI systems that prioritize user safety and compliance.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning Specializationcourse
→Understanding Data Privacy in AIarticle

Career Path

Remote Associate Machine Learning Engineer - Trust & Safety(Now)→Machine Learning Engineer(1-2 years)→Senior Machine Learning Engineer - Trust & Safety(3-5 years)

Market Overview

Python Market Size 2024
$25B
Annual Growth
12.5%
AI Adoption in Enterprises
75%
Investment in AI Systems
+45%
Labour Demand for ML Engineers
+30%
Avg Salary for Junior ML Engineers
$85K

Skills & Requirements

Required
PythonMachine LearningAI Systems
Growing in Demand
TensorFlowNatural Language Processing (NLP)Data Visualization (e.g., Matplotlib, Seaborn)
Declining
MATLABR Programming

Domain Trends

Increased Focus on Data Privacy
With 80% of companies prioritizing data privacy in AI systems, there is a growing demand for engineers who can implement robust data protection measures.
Rise of Generative AI
Generative AI applications are projected to grow by 35% annually, driving demand for engineers skilled in GenAI technologies.
Remote Work Adoption
Over 60% of tech companies are now offering remote positions, creating a competitive landscape for junior engineers in the global job market.

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