Senior Machine Learning Engineer, Ads Marketplace Quality

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 82M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.
Ads Marketplace Quality team is growing and we are looking for an experienced software engineer to be part of the journey of developing a world-class marketplace and optimizing for users, advertisers and Reddit value.

In this role, you will be responsible for developing and executing a vision to improve our Ads Marketplace. You will develop a deep understanding of our marketplace dynamics and identify areas of improvements by getting to the bottom of data, design, implement and ship algorithms to production that improve our ads delivery funnel with the goal of upleveling the utility for both our advertiser and user values. In particular, you will work on our Ad Relevance initiatives, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that serves ads that are highly relevant to our users

As a senior machine learning engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in marketplace dynamics, you will research, formulate, and execute on our mission to build end-to-end ML solutions and deliver the highly relevant ad to the right user under the right context with data and ML driven solutions. You will deliver with strong execution and cross-functional management skills.

Responsibilities:

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
Required Qualifications:

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
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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:

$216,700 - $303,400 USD