Staff Machine Learning Engineer, Ads Auction
Location
United States
Posted
7 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves developing and executing a vision to improve our Ads Marketplace at Reddit. You will:
- Develop a deep understanding of marketplace dynamics and identify areas of improvement.
- Design, implement, and ship algorithms to production that improve ads marketplace efficiency.
- Specialize in improving and optimizing ads auction and pricing mechanisms.
- Work on strategic initiatives such as supply optimization and ad relevance.
- Drive and execute on Reddit’s vision to transform into an advertising platform that shows the right ads to the right users.
As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will:
- Be an industry technical leader with domain knowledge in ads marketplace dynamics, auction, and pricing.
- Research, formulate, and execute on our mission to build end-to-end algorithmic solutions.
- Contribute your expertise and shape the future of the ads marketplace at Reddit.
Responsibilities include:
- Lead and oversee strategy development, quarterly planning, and day-to-day execution of initiatives related to ads marketplace, auction, and pricing.
- Proactively further understanding of marketplace dynamics and develop algorithms to improve efficiency and effectiveness.
- Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment.
- Mentor and lead both junior and senior engineers in implementing technical designs and reviews.
- Collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales) to innovate and build products.
Qualifications
- 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.
- Strong knowledge of ads marketplace optimization.
- Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.
- Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.
- Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
- Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders.
- Excellent communication, mentoring, and collaboration skills.
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
Company Description
Job Requirements
- 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.
- Strong knowledge of ads marketplace optimization.
- Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.
- Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.
- Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
- Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders.
- Excellent communication, mentoring, and collaboration skills.
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
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