We are looking for a proactive and innovative Lead Machine Learning Engineer to join our team.

This pivotal role involves leading the development of prediction and/or optimization engines for our addressable ad platforms. The ideal candidate will have significant experience in designing and implementing machine learning technologies and/or data-driven algorithms, making this an excellent opportunity.

This role offers a unique leadership opportunity for someone who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration.

Responsibilities and Duties of the Role :

- Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising.

- Invent and iterate novel solutions for complex ad challenges with fast turnaround.

- Lead the ad algorithm architecture design and iteration of the advertising system.

- Develop scalable and efficient approaches for large scale data analysis and model development.

- Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization.

- Collaborate with engineering teams, product managers, and program managers in an open and creative environment.

- Mentor team members and support their technical growth.

Required Education, Experience/Skills/Training :

- MS or PhD (preferred) in computer science or equivalent experience.

- At least 7 years of working experience on large scale machine learning at leading internet companies.

- Experience in the advertising domain is preferred.

- Experience with forecasting algorithms is preferred.

- Strong knowledge of AI/ML technologies, mathematics and statistics.

- Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack.

- Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.

- Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.

- A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Preferred Qualifications :

- Experience in digital video advertising or digital marketing domain.

- Experience with CTR/CVR model, generative AI, forecasting model.

- Experience with feature store, audience segmentation and MLOps.

- Experience with Tensorflow, Kubeflow or Sagemaker.