We are looking for a Machine Learning Data Scientist to work within the Ads Data team. You will work closely with engineers and product owners from our Ads team to 1) optimize ads delivery and auction systems, 2) shape product roadmap and strategy of ads quality and relevance. This person has a solid business acumen and knows what is important to advertisers and users (i.e. redditors). In addition, this person needs to demonstrate strong cross-functional stakeholders management capabilities. 

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Responsibilities:

• Research, design and develop contextual ad relevance models. Reddit ad is a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ad quality. 
• You will design metrics and mechanisms to understand different tradeoffs between user engagement and ad quality. You will develop algorithms that would optimize both ad quality and ad delivery. 
• Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
• This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations. 
• Serve as a thought-partner for product managers, engineering managers and leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

What We Can Expect From You:

• Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
• Master’s or PhD degree is preferred but not required
• 4+ years of experience (for Bachelor’s/Master’s); 2+ years of experience (for Phd) in quantitative/modeling roles, preferably for a consumer-facing service/app
• Proficiency in machine learning, statistical modeling, and optimization
• Understanding of experimentation and causal inference analyses
• Strong analytical and communication skills
• Familiarity with at least one of the Deep Learning platforms (e.g. Pytorch, Tensorflow)
• Computer vision experience strongly preferred
• Strong skills in SQL and programming (Python or R) 
• Experience in online advertising is preferred but not required