(Immediate Start) Senior Machine Learning Engineer

The Role

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.

Target total compensation for this role ranges from $300,000 - $325,000 which includes a fixed annual salary between $200,000-$225,000 (including superannuation) and an employee equity plan grant component. In addition, you will receive world-class employee benefits.

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.

- 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.

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:

- 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).

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

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