Machine Learning Engineer

This role is based in Menlo Park, CA.

Compensation:

$235,370/year to $250,250/year + bonus + equity + benefits

Responsibilities:

• Design, implement, and productionize machine learning models for ad ranking, targeting, and conversion optimization.
• Lead and analyze A/B tests and offline experiments to evaluate model performance.
• Build and maintain robust, scalable ML pipelines and infrastructure.
• Collaborate with product managers, data scientists, and software engineers to define requirements and deliver solutions.
• Author technical documentation and best practices.
• Mentor junior engineers and contribute to code reviews.

Minimum Qualifications:

• Master’s degree in Computer Science or related field and 3 years of experience in machine learning, deep learning, and statistical modeling.
• Experience with large-scale data processing and distributed computing (e.g., PyTorch, TensorFlow, Spark).
• Proficiency in Python and C++.
• Strong problem-solving, communication, and collaboration skills.