Machine Learning Engineer - App Ads
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We’re 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 we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us!
The App Ads Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user conversions after engaging with Reddit. The creation and enhancement of these models plays a crucial role in our organization's efforts to optimize advertising effectiveness and drive business growth. We are looking for a motivated engineer that will help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team!
Your Responsibilities:
Develop advanced and scalable deep learning models using cutting-edge techniques for critical machine learning tasks within the app conversions modeling domain.
Design and implement innovative strategies for signal loss mitigation, ensuring the accuracy and reliability of predictions in the presence of incomplete or noisy data.
Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures.
Systematic 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.
Be a mentor and cross-functional advocate for the team.
Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future!
Who You Might Be:
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 with ads domain and conversion modeling is a plus.
Experience with recommendation systems is a plus.
Benefits:
Pension Savings plan
Medical Plan
Short term sickness benefits
WIA excess and WGA gap insurance
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
This role is remote within the Netherlands and the UK
#Li-remote
Machine Learning Engineer - App Ads
To see similar active jobs please follow this link: Remote Development jobs
We’re 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 we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us!
The App Ads Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user conversions after engaging with Reddit. The creation and enhancement of these models plays a crucial role in our organization's efforts to optimize advertising effectiveness and drive business growth. We are looking for a motivated engineer that will help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team!
Your Responsibilities:
Develop advanced and scalable deep learning models using cutting-edge techniques for critical machine learning tasks within the app conversions modeling domain.
Design and implement innovative strategies for signal loss mitigation, ensuring the accuracy and reliability of predictions in the presence of incomplete or noisy data.
Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures.
Systematic 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.
Be a mentor and cross-functional advocate for the team.
Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future!
Who You Might Be:
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 with ads domain and conversion modeling is a plus.
Experience with recommendation systems is a plus.
Benefits:
Pension Savings plan
Medical Plan
Short term sickness benefits
WIA excess and WGA gap insurance
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
This role is remote within the Netherlands and the UK
#Li-remote