Senior/Staff Machine Learning Engineer - Content Discovery

What you'll do

• Develop models of user preference, similarity, and engagement, including learning from sparse and evolving interaction data.
• Build and deploy scalable recommendation and ranking models for real-time use; turn product objectives into measurable metrics.
• Run large-scale experiments and causal analyses, and help set the technical direction of personalization systems.

What they ask for

• Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field, or equivalent practical experience.
• Proficiency in Python and modern ML frameworks such as PyTorch.
• Knowledge of data pipelines and cloud technologies.
• Track record building, deploying, and maintaining 0-to-1 production Machine Learning or Data Science solutions.

Nice to have

• 3+ years of industrial experience in Recommendation, Search, Ads, Optimization, Reinforcement Learning, or related disciplines.
• Publications at top machine-learning, data-mining, information-retrieval, or NLP conferences.

Pay

$241,200 – $382,935 (base salary)

Tools

Python, PyTorch, Spark, AWS

AI focus

Develop recommendation and personalization models for music discovery, including preference inference, ranking, experimentation, and optimization.