Lead Machine Learning Engineer / Senior Staff Applied Scientist

Rokt is seeking a Lead Machine Learning Engineer / Senior Staff Applied Scientist to join their team in Sydney, Australia. This is a hybrid role requiring in-office presence 4 days per week. The position demands a highly experienced professional with at least 10 years of industry experience and advanced academic credentials in machine learning or related fields.

The role focuses on developing and implementing production-grade machine learning systems with real-time inference capabilities. This senior-level position combines technical leadership with hands-on development work in advanced machine learning applications. The successful candidate will be expected to bring both theoretical knowledge and practical experience in deploying ML systems at scale.

Key qualifications include a Masters or PhD in machine learning or a relevant field, extensive industry experience post-graduation, and demonstrated expertise in building production ML systems. The position requires physical presence in Sydney, with relocation support available for the right candidate.

This role represents an opportunity to work at a senior technical level in a company that values both academic expertise and practical implementation skills in machine learning. The position combines the technical depth of a Staff Engineer with the specialized focus of machine learning engineering, making it ideal for candidates who want to push the boundaries of ML applications in a production environment.

The hybrid work model reflects Rokt's commitment to maintaining strong team collaboration while offering some flexibility in work arrangements. This structure is designed to facilitate both individual focus time and effective team interaction, though candidates should note that the in-office requirement may be subject to change based on business needs.