Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Developing and deploying scalable machine learning models to production environments for high-traffic gaming applications with an accent on statistical analysis, data mining, and feature engineering. Focus on optimizing model performance for large-scale datasets and ensuring system reliability under heavy usage by millions of end users.

Location: Chengdu, China

Company

Razer is a global leader in gaming hardware and software, dedicated to revolutionizing the gaming experience through innovative products and technology.

What you will do

• Collaborate with stakeholders to define business objectives and identify AI-driven solutions.
• Collect, preprocess, and analyze large datasets to uncover meaningful insights and patterns.
• Develop and train machine learning models using Python/R and frameworks like TensorFlow or PyTorch.
• Integrate ML models into existing systems and develop new applications leveraging AI capabilities.
• Optimize solutions for efficiency and scalability in real-time application scenarios.
• Establish monitoring mechanisms to track model performance and ensure security in production environments.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• Proficiency in Python or R and experience with TensorFlow or PyTorch.
• Strong understanding of statistical analysis and data mining techniques.
• Proven track record of deploying machine learning models to production environments serving large user bases.
• Familiarity with software development best practices and version control systems.
• Strong communication and problem-solving skills to thrive in a cross-functional team.

Nice to have

• Experience with deep learning architectures and algorithms.
• Knowledge of big data tools and platforms.
• Familiarity with cloud services for machine learning.
• Contributions or publications within the machine learning community.

Culture & Benefits

• Opportunity to make a global impact in the gaming industry.
• Exposure to a diverse team spanning five continents.
• Focus on accelerated personal and professional growth.
• Dynamic gamer-centric work environment.