Senior Machine Learning Engineer, Ads Conversion Modeling

Posted 26 days agoViewed

💎 Seniority level: Senior, 3+ years with deep learning models, 4+ years with end-to-end experience

📍 Location: Netherlands, United Kingdom

🔍 Industry: Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNews Content Social Network Social Media

🗣️ Languages: English

⏳ Experience: 3+ years with deep learning models, 4+ years with end-to-end experience

🪄 Skills: Machine LearningPyTorchData engineeringTensorflow

3+ years of experience with industry-level deep learning models.
3+ years of experience with mainstream ML frameworks like Tensorflow and Pytorch.
4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.
4+ years of experience orchestrating complicated data generation pipelines on large-scale datasets.
Experience with Ads domain is a plus.
Experience with recommendation systems is a plus.

Building industrial-level models for critical ML tasks with advanced modeling architectures and techniques.
Research, implement, test, and launch new model architectures including deep neural networks.
Systematic feature engineering works to convert raw data into features using various technologies.
Contribute meaningfully to team strategy.
Be a mentor and cross-functional advocate for the team.

Posted 26 days ago

📍 Netherlands, United Kingdom

🧭 Full-Time

🔍 Advertising

Tracking records of consistently driving KPI wins through model architecture and feature engineering.
3+ years of experience with industry-level deep learning models.
3+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch).
4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.
4+ years of experience orchestrating complicated data generation pipelines on large-scale datasets.
Experience with Ads domain is a plus.
Experience with recommendation systems is a plus.

Building industrial-level models for critical ML tasks with advanced modeling architectures and techniques.
Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures.
Engage in systematic feature engineering to create features from various types of raw data.
Contribute to team strategy and actively participate in planning.
Act as a mentor and cross-functional advocate for the team.

Machine LearningPyTorchData engineeringTensorflow

Posted 26 days ago

Posted 26 days ago

📍 Netherlands, United Kingdom

🧭 Full-Time

🔍 Digital Advertising

3+ years of experience with industry-level deep learning models.
3+ years of experience with mainstream ML frameworks (Tensorflow, Pytorch).
4+ years of end-to-end experience in training, evaluating, testing, and deploying models.
4+ years of experience orchestrating data generation pipelines on large datasets.
Experience in the ads domain and with recommendation systems is a plus.

Building industrial-level models for critical ML tasks with advanced modeling architectures and techniques.
Research, implement, test, and launch new model architectures including deep neural networks.
Systematic feature engineering to convert raw data into features using various technologies.
Contribute to team strategy and actively participate in planning.
Mentor and advocate for cross-functional collaboration.

Data MiningMachine LearningPyTorchTensorflow

Posted 26 days ago

🔧 Requirements