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Machine Learning Engineer, Ads Targeting

Salary

$185.8k - $260.1k

Min Experience

2 years

Location

remote, united states

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

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 101M+ daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit redditinc.com. We're evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we're excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us! Ads Targeting ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The team's projects involve building large-scale offline & online retrieval systems across several dimensions to improve contextual & behavioral targeting for targeting products. As a senior machine learning engineer in the ads targeting core team, you will execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with data and ML-driven solutions. Your Responsibilities: Own end-to-end execution of ML-based targeting products like smart targeting expansion, keyword targeting, auto targeting, user lookalikes etc Own offline & online experimentation of ML models for improving targeting products to drive advertiser outcomes Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy Work on large scale data systems, backend services and product integration Collaborate closely with multiple stakeholders cross product, engineering, research and marketing Required Qualifications 2+ years of experience with industry-level deep learning models. 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch). 3+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models. 3+ years of experience of orchestrating complicated data generation pipelines on large-scale datasets. Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research Knowledge of large scale search & recommender systems, or modern ads ranking/retrieval/targeting systems is preferred Experience with deep learning, representation learning or transfer learning is preferred

About the company

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 101M+ daily active unique visitors, Reddit is one of the internet's largest sources of information.

Skills

tensorflow
pytorch
deep learning
machine learning
data generation
data systems
backend services
product integration
cross-functional collaboration
search systems
recommender systems
ads ranking
ads retrieval
ads targeting
representation learning
transfer learning