Manager, Machine Learning Engineering, Content Ranking

Position Overview

We're looking for a Machine Learning Engineering Manager to join Snap Inc. This role involves leading machine learning engineers to create models which drive value for Snap's users and company, with a focus on online ranking and recommendation systems.

Responsibilities

• Lead machine learning engineers to create models which drive value for our users and company
• Evaluate the technical tradeoffs of key decisions
• Perform design and code reviews to raise technical excellence bar
• Build robust, lasting, and scalable products
• Iterate quickly without compromising quality

Requirements & Skills

Knowledge, Skills & Abilities:

• Strong understanding of machine learning approaches and algorithms and their applications to Snap's products
• Experience setting the direction for a team whose primary output is online ranking/recommendation models
• Strong management and mentorship skills
• Excellent verbal and written communication skills, with high attention to detail
• Ability to collaborate with internal and external stakeholders at all levels of a company
• Skilled at managing ambiguous problems

Minimum Qualifications:

• Bachelor's in a related technical field such as computer science or equivalent years of practical work experience
• 8+ years of post-Bachelor's ML industry experience; or a Master's degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
• 1+ year(s) of experience leading machine learning teams that focus on ranking and/or recommendations

Preferred Qualifications:

• Advanced degree in a related technical field
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience working with distributed systems
• Experience working with machine learning, ranking infrastructures, and system designs
• Ability to proactively learn new concepts and apply them at work