Director of ML for Content & Recommendations

SNAP, Inc.; San Francisco (CA); Vor Ort; USD 334.000 - 500.000; Vollzeit

Benefits dieser Stelle

Comprehensive medical coverage

Parental leave

Zusammenfassung

Snap Inc. is seeking a Director of ML to lead the Content Machine Learning Engineering team and set multi‑year ML strategy for recommendation, content understanding, production reliability, and experimentation while developing managers and aligning model investments with business outcomes.

You will oversee cross‑office Content ML teams across Seattle, Los Angeles, San Francisco, Palo Alto, and New York, build high‑performing teams, and drive architectural decisions to deliver scalable,

Qualifikationen

• Bachelor’s degree in a relevant technical field or equivalent experience.
• 10+ years software engineering experience post‑Bachelor’s, or Master’s with 9+ years, or PhD with 6+ years.
• 5+ years of experience leading a large team at scale and driving efficiency.
• Experience working with ML, AI, and ranking systems.

Aufgaben

• Support teams solving technical challenges and build world‑class Snapchat experiences.
• Oversee day to day operations of the Content ML teams across multiple offices.
• Develop organizational goals and drive the technical and organizational roadmap for the engineering team.
• Collaborate with Executives, Finance, Product, and Engineering teams to deliver the highest quality for our product.
• Influence key decisions on architecture and implementation of scalable, reliable, and cost‑effective engineering solutions.
• Build and scale high‑performing teams of software engineers and ML engineers, mentoring leaders.
• Iterate quickly without compromising quality and raise the bar on operational excellence.

Kenntnisse

Machine Learning

Deep Learning

Leadership

Cross-functional collaboration

Ranking systems

Ausbildung

Bachelor's degree in a technical field

Master's degree in a technical field + 9+ years

PhD in a related field + 6+ years

Jobbeschreibung

Snap Inc. is seeking a Director of ML to lead the Content Machine Learning Engineering team and set multi‑year ML strategy for recommendation, content understanding, production reliability, and experimentation while developing managers and aligning model investments with business outcomes.

You will oversee cross‑office Content ML teams across Seattle, Los Angeles, San Francisco, Palo Alto, and New York, build high‑performing teams, and drive architectural decisions to deliver scalable,