Algorithm Engineer

About the Role

Our client is an innovative technology company focusing on intelligent matching and recommendation platforms, connecting millions of users across various applications. They seek a Senior Algorithm Engineer to create and enhance machine learning algorithms that influence user experience and achieve business goals. This key individual contributor position requires balancing advanced research with practical product implementation, ideal for candidates who can transform intricate data problems into scalable technological solutions.

Responsibilities

• Lead initiatives to develop and refine recommendation and matching algorithms, aiming to boost performance metrics across diverse product lines.
• Utilize data-driven experiments to improve both user engagement and commercial results through algorithm-centric projects.
• Manage all stages of model development, including data preparation, feature engineering, training processes, and monitoring after deployment.
• Examine product analytics to detect shortcomings in algorithms and devise enhancement plans based on quantitative insights.
• Explore new deep learning research and incorporate cutting-edge techniques to solve real-world challenges impacting products and business.
• Work collaboratively with product managers, engineers, and data scientists to deploy machine learning models within live systems.
• Design and execute A/B testing frameworks to validate improvements rigorously before full deployment.
• Construct scalable machine learning pipelines that facilitate rapid testing and iterative model advances.

Requirements

• Possess a Bachelor's degree or higher in Computer Science, Mathematics, or related technical fields with a minimum of 2 years of practical experience in algorithm development.
• Solid expertise in recommendation engines, search algorithms, or advertising optimization with proven success in one or more of these areas.
• Comprehensive understanding of machine learning concepts; familiarity with causal inference, time series forecasting, multi-task learning, or reinforcement learning is advantageous.
• Skilled in prevalent machine learning frameworks such as TensorFlow or PyTorch and proficient in Python or similar programming languages.
• Experience in real-time online learning systems and deployment of algorithms in production environments is a plus.
• Fluency in Mandarin Chinese is mandatory due to frequent collaboration with Mandarin-speaking colleagues and teams based in China.

Additional Information

Candidates passionate about technology and meeting the outlined criteria are encouraged to apply. Only shortlisted individuals will be contacted. All data provided will be used solely for recruitment purposes.