Machine Learning Engineer, Relevance

@ Jobgether

Overview

The Machine Learning Engineer, Relevance role based in the United States is responsible for developing and deploying cutting-edge machine learning solutions to enhance user engagement and product relevance. The position involves working across the full ML lifecycle from data analysis and model prototyping to production deployment and monitoring.

Accountabilities

• Conduct exploratory data analysis and develop proof-of-concept models.
• Collaborate with product, engineering, design, and trust & safety teams.
• Prepare, clean, and label training datasets.
• Train, iterate, and deploy models including backend code integration.
• Monitor, debug, and continuously optimize model performance.
• Document models, processes, and outcomes clearly.

Qualifications

Requires a Bachelor’s degree or equivalent in Computer Science or related field. Proven end-to-end machine learning experience, strong Python programming, clean coding practices, and systematic debugging skills are essential. Excellent analytical, problem-solving, and communication skills are required, along with a willingness to learn and adopt novel ML techniques.

Additional Benefits & Process

The role offers competitive salary and equity plans, comprehensive healthcare, flexible time off, parental leave, and other lifestyle benefits. It includes a hybrid work model with occasional in-office collaboration for some roles. The recruitment process is AI-powered and skills-based, ensuring transparent and unbiased candidate selection.

Key skills/competency

Machine Learning, Python, Data Analysis, Model Deployment, Data Cleaning, Debugging, Collaboration, Analytics, Production Monitoring, Documentation