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As a Frontend Engineer in Wix Services, you'll be part of a team that drives the success of service businesses using our platform. Our product is a leader in the industry, serving a vast number of businesses with the aim to be the best and strongest brand in the service business sector. In your role, you will:

Work with cutting-edge technologies impacting over 200 million users
Build React applications with different state-management paradigms
Solve challenging problems with innovative solutions
Write high-quality, functional JavaScript code, and work with Git, Node.js, React, Redux, MobX, and ES6+
Invest in your personal development as part of the Frontend Guild at Wix
Manage tasks using TDD, continuous integration, and modern development processes

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team