Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should have 7+ years of industry experience, including several years in applied ML roles. Deep experience with DNN architectures and ML frameworks like TensorFlow or PyTorch is required, along with a strong background in recommendation systems, ads ranking, or similar domains. Experience working with large-scale datasets and complex feature pipelines, coupled with strong problem-solving and experimentation skills, is also necessary.
The Staff Machine Learning Engineer will design and train advanced ML models, such as DNNs and transformers, to enhance Reddit Ads Ranking. Responsibilities include developing and optimizing features like embeddings and contextual signals, collaborating with product and infra teams for model deployment and performance analysis, mentoring other MLEs, and contributing to modeling best practices. The role also involves shaping the long-term modeling vision across various domains like conversion, app ads, and shopping.
Online platform for community discussions and content
Reddit is an online platform that allows users to post, vote, and comment on content within various communities based on shared interests. Users can engage in discussions on a wide range of topics, from news and sports to entertainment and hobbies. The platform features a unique voting system where content can receive upvotes or downvotes, helping the most popular posts gain visibility. Reddit generates revenue primarily through advertising, premium memberships, and the sale of virtual goods like Reddit Coins. Unlike many other social media platforms, Reddit emphasizes community-driven content and discussions, creating a space for authentic interactions among users. The goal of Reddit is to foster engagement and connection among its diverse user base.