Staff Software Engineer Machine Learning

nReddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic. nnWere 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 were excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one – join us! nnAds prediction team is the central team to handle machine learning needs in the ads delivery pipeline. Some examples projects that the team own:nnnImprove our model through systematic model architecture engineering work including exploring different deep neural network architecturesnnSystematic feature engineering work to build power features from Reddits data with aggregation, embedding, content understanding techniquesnnDeveloping highly efficient retrieval ranking models with good balance between model performance and computation efficiency nnnnnAs a Staff Machine Learning Engineer in the ads prediction team, you will research, formulate and execute on our mission to deliver the right ad to the right user under the right context with data and ML driven solutions. nnResponsibilities:nnnBuilding industrial level models for critical ML tasks with advanced modeling techniquesnnResearch, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architecturesnnResearch, implement, test, and launch new model architectures to handle retrieval ranking tasks with a good balance between model performance and computation efficiencynnSystematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub models, etc. nnBe a mentor and cross-functional advocate for the teamnnContribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future.nnnnnRequired Qualifications:nnn* nnn2+ years of experience with industry-level deep learning modelsnn5+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)nnEnd-to-end experience of training, evaluating, testing, and deploying industry-level modelsnnExperience of orchestrating complicated data generation pipelines on large-scale datasetnnExperience with Ads domain is a plusnnExperience with recommendation system is a plusnnnnnnnnnBenefits:nnComprehensive Health BenefitsnnRetirement Savings plan with matching contributionsnnWorkspace benefits for your home officennPersonal & Professional development fundsnnFamily Planning SupportnnFlexible Vacation & Reddit Global Days Offnnnnn nn#LI-JS2 nn#Salary and compensationn No salary data published by company so we estimated salary based on similar jobs related to Engineer and Engineer jobs that are similar:nn $60,000 $110,000/yearn nn#LocationnToronto, Ontario, Canada

Tagged as: learning, Software Engineer