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As a Machine Learning Engineer, youll work as part of Wixs CTO Office team alongside researchers on cutting-edge problems to give Wixs products a competitive advantage. Your work will span challenges in vision models, LLM-based agentic architectures, reinforcement learning, reasoning, and more. In your day-to-day, you will:

Build the infrastructure and data for training models

Collaborate with researchers and Wix product teams to design and integrate AI models

Run POCs

Explore cutting-edge solutions that can be the next strategic direction for Wix

Brainstorm and research novel ideas in various fields

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions powers the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange and havent stopped growing since!

A day-to-day role as a Team Manager at Similarweb includes:

Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:

Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.