Senior Machine Learning Engineer, Ads Covernsion Modeling

Requirements:

• Building industrial-level models for critical ML tasks with advanced modeling architectures and techniques
• Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures
• Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub-models, etc.
• Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future
• Be a mentor and cross-functional advocate for the team

Nice to Haves:

• Experience with Ads domain is a plus
• Experience with recommendation system is a plus

What You'll Be Doing:

• Tracking records of consistently driving KPI wins through systematic works around model architecture and feature engineering
• 3+ years of experience with industry-level deep learning models
• 3+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)
• 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
• 4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset

Perks and Benefits:

• Pension Scheme
• Private Medical and Dental Scheme
• Life Assurance, Income Protection
• Workspace benefit for your home office
• Personal & Professional development funds
• Family Planning Support
• Commuter Benefits
• Flexible Vacation & Reddit Global Days Off