Principal Applied Scientist/Machine Learning Engineer

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce Network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation.

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Principal Applied Scientist/Machine Learning Engineer

Compensation: $270,000-$300,000 including superannuation, employee equity plan grant & world class benefits.

As a Principal Scientist/Machine Learning Engineer you will be able to drive the future direction of new initiatives and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the Relevancy org and will be responsible for driving machine learning solutions from research to production.

Your expertise will be critical in designing, implementing and scaling innovative machine learning solutions that drive impact across the business. Reporting to the VP of Engineering (AI/Data) you will work closely with product managers, machine learning engineers and software engineers to understand business priorities, frame ML problems and architect solutions that deliver real-world value specifically in CTR modelling, Conversion modelling, UX optimisation, price optimisation and NLP.

In this role you will be encouraged to keep up with emerging trends in machine learning, research state of the art deep learning architectures, prototype new modelling ideas and conduct offline and online experiments and deploy your solutions to production.

About You:

• Develop and implement machine learning algorithms to solve business problems
• Design and implement scalable data processing and machine learning pipelines
• Evaluate and improve the performance of machine learning models
• Communicate technical concepts and ideas to both technical and non-technical stakeholders
• Sharing your knowledge by giving brown bag sessions, tech talks, and evangelising appropriate tech and engineering best practices.

About the Role:

• PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science.
• 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus.
• Experience in the following areas - Bayesian methods, Reinforcement learning, Deep learning Architectures and Recommendation systems and if you have experience in ML for Ads or ecommerce it is a big plus.
• Be motivated, and self-driven in a fast (we truly mean fast) paced environment with a proven track record demonstrating impact across several teams and/or organisations.
• Experience with Kubernetes, Kubeflow, TFX and Feature Store in a production environment is a massive plus