- 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.
- Bachelor's degree in Computer Science, a similar technical field of study or equivalent practical experience.
- 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring.
- 5+ years of industry experience in software engineering roles and development experience in Python, SQL, Go, and/or other programming languages.
- Strong understanding of software engineering, system design, data engineering and/or cloud architecture.
- Knowledge in at least one of the following areas - Bayesian methods, Econometrics, Reinforcement learning, Gradient boosting machine, Natural language processing, Computer vision, etc.
- Experience with Kubernetes, Kubeflow, TFX and Feature Store in a production environment is a massive plus.
- Accelerate your career. We offer roadmaps to leadership and an annual $5000 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.)
- Work with the greatest talent in town
- See the world We have offices in New York, Seattle, Sydney, Tokyo and London
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Senior Machine Learning Engineer - Sydney, Australia - Rokt
Description
We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce Network powers billions of transactions. In December 2022, Rokt's valuation increased to $ 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
Compensation: $175,000-$235,000 including superannuation, employee equity plan grant & world class benefits.
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:
Requirements
About You:
Benefits
About Rokt'stars:
As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential 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:
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.
If this sounds like a role you'd enjoy, apply here and you'll hear from our recruiting team.
