Staff Applied Scientist, Rokt

• PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval, and experience leading PhD level scientists/engineers on projects
• 10+ years of industry experience building production-grade ML systems
• If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team

Desirable

• As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year
• Growth: pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities
• Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt
• Optimise auction and decisioning logic, applying model predictions to maximise value across Rokt’s multi-sided marketplace
• Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations
• Evaluate and improve model performance, ensuring robustness, scalability, and interpretability
• Translate complex business needs into practical ML solutions, collaborating with product and engineering teams
• Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism
• Act as technical and project leader of a small team of specialists
• Provide leadership on complex technical issues,
• Set standards for technical excellence - from coding to architectural best practices
• Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items
• Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team