Machine Learning Engineer, Ads Targeting

Posted 5 days agoViewed

💎 Seniority level: Senior, 2+ years

📍 Location: United States

💸 Salary: 185800.0 - 260100.0 USD per year

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

⏳ Experience: 2+ years

🪄 Skills: AWSBackend DevelopmentPythonMachine LearningNumpyPyTorchData engineeringSparkTensorflow

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

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

Posted 13 days ago

📍 United States

🧭 Full-Time

💸 216700.0 - 303400.0 USD per year

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch with large-scale ML systems
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 workflows
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
Tech lead experience in a product team is strongly preferred

💡 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

KubeflowMachine LearningMLFlowPyTorchAirflowAlgorithmsApache KafkaData StructuresSparkTensorflow

Posted 13 days ago