Overview
TIDAL, a next-generation streaming platform founded by artists for artists, is seeking a Staff Machine Learning Engineer to join our Personalization AI team remotely from the Bay Area, CA. As a Staff Machine Learning Engineer, you will lead the development of AI and ML systems that drive personalized music experiences, from recommendation engines to semantic search and playlist curation. Working closely with cross-functional teams, you’ll design, implement, and maintain production-grade AI systems that elevate the listener experience and empower artists worldwide.
Location: Remote (Bay Area, CA)
Seniority Level: Senior / Staff
Employment Type: Full-time
Responsibilities
Lead AI/ML Strategy and Execution
Drive the strategic planning of AI initiatives within the Personalization team. Set the vision and architecture for scalable AI/ML systems that enhance TIDAL’s user experience.
Develop Personalized AI Systems
Design and implement sophisticated models powering recommendations, semantic search, playlist personalization, and homepage features. Ensure systems operate efficiently in production for real-time personalization.
Maintain High-Quality Production Systems
Build, monitor, and optimize AI/ML systems with a focus on quality, scalability, and maintainability. Establish best practices for software engineering and ML deployment within the team.
Collaborate and Innovate
Work with designers, business stakeholders, and engineers to create innovative features. Run experiments, analyze results, and iterate models based on data insights and user feedback.
Mentorship and Team Growth
Mentor junior engineers, promote a culture of continuous learning, and guide technical standards for AI/ML development.
Qualifications
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12+ years of experience building and operating high-quality software systems
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5+ years in recommender systems, ranking systems, or similar AI/ML models
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Proven experience developing complex models on large datasets for customer-facing features
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Strong software engineering skills with proficiency in modern programming languages and frameworks
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Excellent collaboration and communication skills across teams
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Customer empathy and a passion for delivering impactful user experiences
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Experience with PyTorch, PySpark, Databricks, and AWS is a plus
Benefits
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Remote work flexibility for work-life balance
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Comprehensive medical insurance coverage
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Flexible time-off policies
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Retirement savings plans
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Family planning support and resources
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Opportunities for professional growth and development
Equal Opportunity Statement
Block, Inc. is an equal opportunity employer committed to an inclusive workplace. We evaluate employees and applicants without regard to race, color, religion, sex, national origin, age, disability, or any other legally protected status. Arrest or conviction records are considered fairly per applicable laws.