Senior/Staff Machine Learning Engineer - Seattle

About Rokt

Rokt is the global leader in ecommerce technology, helping companies seize the full potential of every transaction moment to grow revenue and acquire new customers at scale. Live Nation, AMC Theatres, PayPal, Uber, Hulu, Staples, Lands’ End, and HelloFresh are among the more than 2,500 leading global businesses and advertisers that use Rokt's solutions to drive more value through every transaction by offering highly relevant messages to their customers at the moment they are most likely to convert.

With our December 2022 secondary transaction, Rokt’s valuation increased to $2.4 Billion. We are expanding rapidly and globally – operating in 14 countries across North America, Europe and the Asia-Pacific region with the largest office in NYC and a major R&D hub in Sydney. With 50% annual growth and a vibrant company culture, Rokt has been listed in ‘Great Places to Work’ in the US and Australia. Our award-winning culture is guided by our eight core values: smart with humility, own the outcomes, force for good, conquer new frontiers, enjoy the ride, raise the bar, communicate with impact, and disagree then commit. These values help us attract, engage, and develop the right talent around the globe and ensure we foster an environment that helps us all do our best work. Keen to join a fast-growing company and a vibrant culture? Learn more at rokt.com.

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. We are expanding rapidly in our brand new R&D center in Seattle. We are passionate about using intelligent systems to improve the transaction moment for retailers everywhere. Come join us and build the future!

The Role

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

Responsibilities

• Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
• Build and productionize 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 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 evangelizing appropriate tech and engineering best practices.
• Mentor other team members, facilitate within/across team workshops and lead the agile development.

Requirements

Requirements

• Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a massive plus.
• 5+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a massive plus.
• 3+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages.
• Strong understanding in software engineering best practices
• Be motivated, self-driven in a fast (we truly mean fast) paced environment with a proven track record demonstrating impact across several teams and/or organizations.
• Ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner.
• At Rokt we encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise.
• Ideas, opinions, and the ability to share them through respectful proposals, presentations, and team-wide discussions, An eagerness to work and learn in the open and share