Senior Machine Learning Engineer - Ads Retrieval

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Requirements:

• 2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch.
• 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models.
• Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
• Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset.
• Prior experience with information retrieval and recommendation system.
• Ads domain knowledge on product and ML solutions is a plus.

Responsibilities:

• Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques.
• Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks.
• Drive technical roadmaps and lead day to day project execution.
• Contribute meaningfully to team vision and strategy.
• Work on large scale data systems, backend services, and product integration.
• Collaborate closely with multiple stakeholders across product, engineering, research, and marketing.
• Be a mentor and cross-functional advocate for the team.