Rokt is a hyper-growth ecommerce leader, unlocking real-time relevance in the moments that matter most. Our AI Brain and ecommerce Network power 7.5 billion+ transactions p/y and are trusted by thousands of leading companies globally (Expedia, Best Buy, Lowe’s, Walgreens, Ticketmaster, Venmo, Apple, Disney+, Uber Eats, Capital One) and in Australia (The Iconic, David Jones, Dan Murphy's, Dominos, Foxtel, Amazon, Afterpay, PayPal)
We are a team of builders helping smart businesses innovate, meet customer needs, and generate incremental revenue. Rokt’s economic edge unleashes a world of possibilities for growth and innovation.
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.
Target total compensation for this role is $245,000 - $260,000, comprised of a fixed annual salary of $170,000 - $185,000 (including superannuation), and a stake in Rokt through our employer equity grant plan.
In addition, you will receive a world-class benefits package. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.
About the role:
If you're nearing the completion of your PhD in Machine Learning, have recently graduated, or bring equivalent hands-on experience, this is your opportunity to launch a high-impact career in applied Machine Learning.
You would be joining the Rokt Brain Relevancy team in Sydney. Our focus is delivering the most relevant experience for every user in the transaction moment, harnessing advanced ML and real-time data to optimise every offer and interaction to maximise value for customers, partners, and advertisers. We build adaptive and transparent models that continuously learn and improve.
As an ML Engineer, you'll translate cutting-edge academic insights into scalable ML products that shape user experiences across more than 7.5 billion transactions and 400 million customers globally.
Focus areas for the team include personalisation & relevance models, selection & scoring algorithms, exploration vs. exploitation tradeoffs, cold start & smart bidding models, predictive & agentic models and statistical modelling, & data enrichment.
Who You Are
About The 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:
We believe we’re better together. We love spending time together and are in the office most days (teams are in the office minimum 4 days per week).