Location: San Jose, California, 95110, United States of America
Job Summary:
Job Duties and Scopes:
- Develop and release models in production for large-scale datasets.
- Create classifiers, predictive models, and optimization algorithms leveraging machine learning and data analytics.
- Focus on R&D for conversion optimization, bidding algorithms, and forecasting.
- Collaborate with Product Management to develop AI-based experiences.
- Mentor a team of ML scientists and engineers, overseeing all aspects of ML product development.
Required Skills:
- Proficient in machine learning, statistical modeling, and multivariate optimization.
- Experience with TensorFlow or PyTorch for large-scale ML solutions.
- Programming skills in Python, Java/Scala, SQL, and familiarity with Git, Docker, and Kubernetes.
- Understanding of data structures, algorithms, and distributed computing.
Required Experiences:
- 7+ years in Data Science, Machine Learning, or Statistics roles.
- Advanced degree (PhD or MS) in Computer Science, Statistics, or a related field.
- Experience in Real-Time Bidding or Ad Tech preferred.
- Proven ability to lead diverse teams and influence stakeholders in a high-growth environment.
Job URLs: