Machine Learning Engineer, Relevance (Remote - US)

Machine Learning Engineer, Relevance (Remote - US)

We are currently looking for a Machine Learning Engineer, Relevance in the United States . The Machine Learning Engineer will play a pivotal role in developing and deploying cutting-edge machine learning solutions to enhance user engagement and product relevance. You will work across the full ML lifecycle, from exploratory data analysis and model prototyping to production deployment and monitoring. This role requires collaboration with cross-functional teams, including product, engineering, design, and trust & safety, to design impactful solutions.

You will analyze and prepare training datasets, implement novel ML techniques, and ensure robust, scalable systems in production. A keen analytical mindset, clean coding practices, and a strong understanding of model observability and performance optimization are essential. This position offers an opportunity to influence product decisions through data-driven insights and advance the user experience on a large-scale platform.

Accountabilities

• Conduct exploratory data analyses and develop proof-of-concept machine learning models to identify opportunities and potential impacts
• Collaborate with cross-functional teams to design and implement ML solutions aligned with product objectives
• Prepare, clean, and label training datasets, leveraging crowdsourcing techniques when necessary
• Train, iterate, and deploy machine learning models to production, including writing supporting backend code
• Monitor model performance, debug issues, and continuously iterate to improve accuracy, reliability, and efficiency
• Document models, processes, and outcomes clearly to ensure knowledge sharing across the team

Requirements

Benefits

Jobgether is an equal opportunity employer and welcomes applications from diverse candidates.

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