Rokt is looking to solve business challenges including smart bidding, budget pacing, lookalike modelling, and more by leveraging machine learning and ecommerce technology
Requirements
- Masters or PhD in Machine Learning
- 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring
- Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment.
- Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling
- Familiarity with any of the following architectures or experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide and ESMM
Responsibilities
- Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.
- Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
- Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
- Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.
Other
- Masters or PhD in Machine Learning
- 3+ years of industry experience
- Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Become a shareholder. Every Rokt’star gets equity in the company
- Enjoy catered lunch every day and healthy snacks in the office.
