Staff Machine Learning Engineer, Core Engineering

This position is based in San Francisco or available for remote work.

Compensation:

$176,924—$364,254/year

Responsibilities:

• Design features and build large-scale machine learning models to improve user ads action prediction with low latency.
• Develop new techniques for inferring user interests from online and offline activity.
• Mine text, visual, user signals to better understand user intention.
• Collaborate with product and sales teams to design and implement new ad products.

Requirements:

• Degree in computer science, machine learning, statistics, or related field.
• 6+ years of industry experience in building production machine learning systems.
• 2+ years of experience leading projects/teams.
• Strong mathematical skills with knowledge of statistical methods.
• Cross-functional collaborator and strong communicator.
• Background in computational advertising is preferred.