About the Intelligent Systems Lab (ISL)
The ISL team provides applied research and development capabilities to help achieve long-term strategic goals for Gogolook. Our typical project lifecycle is 6 months, focusing on a transition from ISL team principles to long-running applied R&D. We collaborate closely with other Gogolook teams to:
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Evaluate product needs for intelligent solutions.
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Propose solutions that use cutting-edge AI.
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Create POCs (Proof of Concepts) to demonstrate viability.
Together, ISL and Engineering teams meet both the short and long-term technology needs of the company.
As a Machine Learning Engineer, you will be a core part of ISL’s modeling competency. Your mission is to implement, evaluate, and deploy machine learning models that turn Gogolook’s first-party data into precise, reliable products that protect users from fraud. You will treat model quality as an experimental discipline — measured, not assumed — and bring statistical rigor to every result you ship.
Your journey at Gogolook is designed for growth. At the beginning, you will build and train models with guidance, evaluate them with the right metrics, prepare and engineer the data they learn from, and document your work so others can reproduce it. Subsequently, we expect you to take full ownership of end-to-end ML solutions — designing the experiments, running the statistical analysis, optimizing for performance, and deploying to production. Over time you may lead advanced ML initiatives, guide experimental strategy, drive statistical rigor across the team, architect scalable ML infrastructure, and mentor junior engineers.