Job Description

Responsibilities

• Develop and maintain production machine learning models used in decision-making systems.
• Build or adopt technologies for training and serving machine learning models, including support for large models and improved developer velocity.
• Monitor current machine learning research and evaluate applicable ideas.
• Build and scale efficient machine learning pipelines for real-time and batch processing.
• Track model performance, detect drift, and automate retraining.
• Explain statistical and machine learning concepts to technical and non-technical audiences.
• Collaborate with engineers and contribute to engineering excellence through testing, explainable systems, and code review.

Requirements

• At least 6 years of industry experience applying machine learning, including neural networks, to large-scale problems.
• Experience with recommendation systems.
• Hands-on experience with deep neural networks in production at scale.
• Strong engineering and coding skills.
• Demonstrated ability to execute and deliver projects on time.
• Bachelor’s degree or higher in Machine Learning, Math, Physics, or a similar field.
• PhD and AdTech experience are preferred.

Benefits

• Full-time remote work is available in approved U.S. states.
• Remote-first company with hubs in Redwood City, Los Angeles, and New York City.
• Employees are expected to attend in-person team gatherings at least once per quarter.
• Compensation includes equity and health, vision, and dental benefits associated with the employee’s country of residence.
• Benefits may include medical coverage, wellness stipends, and additional perks based on country of residence.

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