Senior Machine Learning Engineer, Ads Marketplace Quality

Requirements:

• Tracking records of consistently driving KPI wins through systematic works around model architecture and feature engineering
• 3+ years of experience with industry-level product development
• 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level machine learning models
• 4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset
• Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis
• Experience with Ads (Marketplace) domain is a plus
• Experience with Ads Relevance is a plus
• Desire to mentor other engineers and level-up the team’s strength

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

What You'll Be Doing:

• Building industrial-level models for critical ML tasks with advanced modeling techniques to improve ad relevance on Reddit
• Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures
• Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads ranking and auction
• Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy
• Lead junior engineers in implementing technical designs
• Be a cross-functional advocate for the team, collaborate with product managers and data scientists to innovate and build products