
Senior Machine Learning Engineer
- Sydney, NSW
- Permanent
- Full-time
- Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
- 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.
- Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
- Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.
- Masters or PhD in Machine Learning
- Extensive 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
- 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring
- Experience with Kubeflow (or similar), Tensorflow and Feature Store in a production environment is a massive plus.
- Become a shareholder. Every Rokt’star gets equity in the company
- Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
- Extra leave (bonus annual leave, sabbatical leave etc.)
- Work with the greatest talent in town
- See the world! We have offices in New York, Seattle, Sydney, Tokyo and London