Machine Learning Engineer II

$166,000 - $248,000/Yr

Applovin - Palo Alto, CA

Full-time - Mid Level

Palo Alto, CA

Publishing Industries

About the position

The Machine Learning Engineer II at AppLovin is responsible for developing advanced deep learning architectures and enhancing the machine learning infrastructure. This role is pivotal in driving innovation within the advertising technology sector, utilizing cutting-edge machine learning technologies to optimize ad targeting and improve customer insights. The position requires collaboration with a talented team to integrate solutions seamlessly into the platform, ensuring reliability and scalability of ML systems.

Responsibilities

• Design, develop, and implement deep learning architectures to improve advertising technology performance.
• Lead efforts to enhance and scale ML infrastructure for reliability and efficiency.
• Collaborate with machine learning engineers, data scientists, and software engineers to integrate solutions into the platform.
• Continuously optimize machine learning models and algorithms for better ad targeting and recommendations.
• Stay updated with the latest advancements in machine learning research and apply innovative techniques.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• Experience in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).
• Strong programming skills in Python and proficiency in relevant ML libraries.
• Solid understanding of distributed computing, cloud platforms, and big data technologies.
• Excellent problem-solving abilities and a track record of delivering innovative solutions.
• Strong communication skills and the ability to work collaboratively in a team environment.

Benefits

• Competitive compensation package, including top-tier salaries in the industry
• Free medical, dental, and vision insurance
• 401k matching and employee stock purchase plan
• A dynamic and inclusive work environment that encourages creativity and innovation.
• Opportunities for career growth and professional development.
• Access to cutting-edge technology and resources.