Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Join Razer, a global leader in gaming technology, as a Senior Machine Learning Engineer in their Chengdu office. This role offers an exciting opportunity to work at the intersection of gaming and artificial intelligence, developing cutting-edge ML solutions that serve millions of users worldwide. As part of Razer's global team spanning 5 continents, you'll be responsible for developing, implementing, and optimizing machine learning models that enhance gaming experiences.
The ideal candidate will bring strong expertise in Python programming, deep learning frameworks like TensorFlow/PyTorch, and production-level ML model deployment. You'll work closely with cross-functional teams to translate business objectives into technical solutions, while ensuring scalability and performance of ML systems.
Razer offers a unique, gamer-centric culture (#LifeAtRazer) that promotes accelerated personal and professional growth. The company is certified as a Great Place to Work® in both United States and Singapore, demonstrating their commitment to employee satisfaction and development. You'll be part of a global mission to revolutionize gaming technology while working with cutting-edge AI applications.
This role combines the excitement of the gaming industry with the technical challenges of machine learning at scale. You'll have the opportunity to impact millions of gamers worldwide while working with a diverse, international team. The position offers the chance to stay at the forefront of AI technology while solving real-world problems in the gaming industry.
Responsibilities For Senior Machine Learning Engineer
- Collaborate with stakeholders to understand business objectives and define ML problems
- Collect, preprocess, and analyze large datasets to extract meaningful patterns
- Develop and train machine learning models using Python/R and frameworks like TensorFlow/PyTorch
- Integrate ML models into existing systems
- Optimize ML solutions for scalability and efficiency
- Collaborate with cross-functional teams
- Maintain comprehensive documentation for ML models
- Implement security measures to protect ML models and data
- Establish monitoring mechanisms for deployed ML models
Requirements For Senior Machine Learning Engineer
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field
- Proficiency in Python or R
- Experience with machine learning frameworks like TensorFlow or PyTorch
- Strong understanding of statistical analysis and data mining techniques
- Experience in developing and deploying ML models to production environment
- Familiarity with software development practices and version control systems
- Strong communication and teamwork abilities
- Experience with deep learning architectures and algorithms
- Knowledge of big data tools and platforms
- Familiarity with cloud services related to machine learning
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