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Rokt

Senior Machine Learning Engineer

Posted 2 Days Ago
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Sydney, New South Wales
Senior level
Sydney, New South Wales
Senior level
The Senior Machine Learning Engineer will collaborate with product managers and engineers to design and productionize machine learning models, improve code quality through testing methods, and stay updated on cutting-edge technologies. Responsibilities include data preparation, model deployment, and conducting experiments.
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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 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 Senior Machine Learning Engineer

Total Compensation between: $375,000 - $515,000, which includes a fixed annual salary between $250,000-$315,000 (including superannuation), employee equity plan grant & world class benefits.

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

About the Role:

  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
  • Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.
  • Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
  • Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments.
  • Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.

Requirements

About You:

  • Masters or PhD in Machine Learning
  • Extensive knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling.
  • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring.
  • Experience with Kubeflow (or similar), Tensorflow and Feature Store in a production environment is a massive plus.
  • 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.

Benefits

About Rokt’stars:

As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team, never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. 

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:

  • All employees have access to our LevelUp! program, providing opportunities for coaching, courses, and training to support career growth and development.
  • 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.) 
  • Work with the greatest talent in town
  • 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 get 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.

We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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

Top Skills

Machine Learning
Software Engineering

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