Staff Data Scientist, Ads Machine Learning

Job Description

Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with over 50 million daily active users, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.

Location: US remote-friendly

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

We are looking for a Staff level Machine Learning Data Scientist to lead the Ads Quality team. You will work closely with engineers and product owners from our Ads team to 1) set the vision and product strategy of ads quality and relevance, (2) build ML models for contextual relevance, personalized ad load, quality scores 3) optimize ads delivery and auction systems through utility function design, 4) measure various marketplace tradeoffs. This person is an industry leader in the online ads marketplace optimization domain with a solid technical background, strong business acumen, and excellent cross-functional stakeholder management skills. 

Responsibilities:

• Research, design and develop contextual ad relevance models. Reddit ads are a combination of text, image, user and ad engagement attributes. You will use modern deep learning techniques to combine those signals to measure ads quality. 
• You will design metrics and mechanisms to understand different tradeoffs between user engagement and ads quality. You will develop algorithms that would optimize both ads quality and ads 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 (prototyping, feature engineering, evaluation etc) and rely on engineers to deploy 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 needed for training, testing and productionizing models. 
• 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.

Required Qualifications:

• Industry leader in online advertising with a focus on ads marketplace
• 8+ years of experience (for Bachelor’s/Master’s); 6+ years of experience (for Phd) in quantitative/modeling roles
• 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)

Benefits:

• Comprehensive Health benefits
• 401k Matching 
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off
• 4+ months paid Parental Leave  
• Paid Volunteer time off

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

 The base pay range for this position is: $198,200 – $297,300.

#LI-Remote #LI-NH1

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