We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries.

The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable.

Compensation:

At Rokt we practice transparency in career paths and compensation, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. 

Target total compensation for this role ranges from $435 000 - $515 000 - made up of a fixed annual salary of $285 000 - $315 000 (including superannuation) and an employee equity plan grant component. In addition, you will receive world-class employee benefits.

The Role:

As a Machine Learning Engineering Manager at Rokt, you will combine people leadership with hands-on technical expertise to drive the next generation of ML products at Rokt. You will guide a team of high-calibre Applied Scientists in solving complex ML problems at scale - leading the cutting-edge ML research and production deployment of high-impact models which advance: recommender systems, conversion optimisation, user experience enhancement, and multi-task learning architectures. Ultimately, your models will help power over 6.5 billion+ targeted recommendations per year. 

Responsibilities

• Own the research, design, development, testing, deployment, and maintenance of machine learning systems and services at Rokt.
• Lead and inspire a team of autonomous ML engineers and applied scientists, cultivating a culture of ownership, innovation, and continuous learning.
• Collaborate cross-functionally with Product, Data, and other Engineering teams to translate business problems into practical ML solutions that drive measurable impact.
• Champion best practices in ML research, experimentation, monitoring, and responsible AI, sharing knowledge through tech talks and mentorship.
• Remain hands-on: contribute production-quality code, conduct design reviews, and set technical standards that raise the bar across Rokt.
• Provide leadership on complex technical issues and set standards for coding and architectural best practices.

Requirements

• 10+ years of industry experience building production-grade ML systems, with 4+ years leading engineering teams.

• PhD or Master’s in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval.
• Deep expertise in at least two:
• Reinforcement Learning (Bandits, Policy Optimization)
• Multi-Task Learning & Mixture of Experts (MMOE, PLE, DCN)
• Deep Learning Architectures (Transformers, Graph Neural Networks)
• Bayesian Methods & Probabilistic Modeling
• ML for Ads, E-commerce, or Two-Sided Marketplaces (big plus!)
• Proven ability to drive impact across multiple teams and organisation as a hand-on technical leader

Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN.s

Benefits

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Accelerate your career. We offer roadmaps to leadership and an uncapped training allowance
• 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.) 
• 1 work-from-anywhere week per quarter
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London
  

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also understand that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.

If this sounds like a role you’d enjoy, apply here and you’ll hear from our recruiting team.