Senior Machine Learning Engineer - Ads Targeting
Remote - United States
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Ads Targeting ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The teamâs 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.Â
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 marketingÂ
Required Qualifications
- 2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch with large-scale ML systemsÂ
- 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
- Experience with large scale data processing & pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery
- Experience working with nearest-neighbor search systems is a big plus
- Experience building & improving MLOps tools and ML experimentation workflowsÂ
- Experience working with cross functional stakeholders across research, product & infrastructure to productize ML researchÂ
- Knowledge of large scale search & recommender systems, or modern ads âŚ
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Canada
Benefits/Perks401(k) matching 401(k) program 4+ months paid Parental Leave Commission Comprehensive Healthcare Benefits Equity Equity in the form of restricted stock units Family Planning Family Planning Support Flexible Vacation Generous time off Global Wellness Global Wellness Days Healthcare Healthcare Benefits Medical Medical, dental, and vision insurance Paid parental leave Paid Volunteer time off Parental leave Pay Transparency Personal & Professional development funds Professional development funds Reddit Global Wellness Reddit Global Wellness Days Wide range of benefits Workspace benefits Workspace benefits for your home office
Tasks- Collaborate with stakeholders
- Experimentation
Ads Airflow Backend Backend Services BigQuery Deep Learning Engineering Experimentation Infrastructure Kubeflow Machine Learning ML PyTorch Spark TensorFlow Transformers
Experience5+ years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9