About this role
Design and deploy scalable recommendation pipelines and optimize CTR/CVR prediction models to drive user retention and engagement. Collaborate with product and engineering teams to improve multi-objective ranking strategies and tackle cold-start challenges.
Requires 3-5 years of experience building production-grade ML systems with a strong focus on recommendation systems and ranking models. Proficiency in Python and ML frameworks like PyTorch or TensorFlow is essential.
What they're looking for
Recommendation SystemsCTR PredictionCVR PredictionMulti-objective OptimizationPythonPyTorchTensorFlowRecall Systems
Frequently asked questions
What does a Machine Learning Engineer – Feed Recommendation at AppLovin do?
Design and deploy scalable recommendation pipelines and optimize CTR/CVR prediction models to drive user retention and engagement. Collaborate with product and engineering teams to improve multi-objective ranking strategies and tackle cold-start challenges. Requires 3-5 years of experience building …
What skills does this Machine Learning Engineer – Feed Recommendation role need?
Key skills for this role include Recommendation Systems, CTR Prediction, CVR Prediction, Multi-objective Optimization, Python, PyTorch.
How much does a Machine Learning Engineer – Feed Recommendation at AppLovin pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer – Feed Recommendation role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Machine Learning Engineer – Feed Recommendation role?
You can apply directly on AppLovin's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.