✨ About The Role
- The Senior Machine Learning Engineer will be responsible for building ads retrieval and early ranking systems for critical machine learning tasks.
- The role involves researching, implementing, testing, and launching new model architectures, including information retrieval and deep neural networks.
- The engineer will drive technical roadmaps and lead day-to-day project execution while contributing to the team's vision and strategy.
- Collaboration with multiple stakeholders across product, engineering, research, and marketing is a key aspect of the job.
- Mentorship and advocacy for cross-functional teams will be part of the responsibilities.
âš¡ Requirements
- The ideal candidate will have at least 2 years of experience leading applied machine learning models using TensorFlow or PyTorch.
- A minimum of 5 years of end-to-end experience in training, evaluating, testing, and deploying machine learning models is essential.
- Proficiency in programming languages such as Java, Python, Golang, or C++ is required, along with strong statistical analysis skills.
- Experience in orchestrating complex data pipelines and system engineering on large-scale datasets is crucial for success in this role.
- Familiarity with information retrieval and recommendation systems will be beneficial, and knowledge of the ads domain is a plus.