Indeed

Manager, Machine Learning Engineering - Internal Only

Remote, US$163,000-$341,000Posted 2 days ago

Job Description

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Comscore, Total Visits, March 2026)

Day to Day

At Indeed, we are committed to delivering exceptional experiences that connect job seekers with opportunities through innovative technology. We integrate machine learning at every step to create consistent, engaging, and secure experiences that meet the needs of our users. Our teams consist of Software Engineers, UX Designers, Product Managers, and Machine Learning professionals collaborating across regions to drive impactful business outcomes.

As a Machine Learning Engineering Manager on the Responsible AI team (RAI), you will oversee multiple data scientists and machine learning engineers towards the goal of ensuring safe, compliant, and fair AI products for all users of the Indeed platform. You will also work collaboratively with partner teams across the business, including Product, Software Engineering, UX, Legal, and Trust teams. You will develop sustainable methods that ensure strict standards for all AI products at Indeed. You will design and build data science tools supporting Indeed's Responsible AI goals, including classifiers for verifying safe AI output and preventing sensitive data leakage; red-teaming agents for stress-testing AI systems for harmful content; and evaluation suites for evaluating AI for compliance, fairness and safety before they launch.

In this role, you will manage multiple data scientists and machine learning engineers. You will set the technical direction of the science team, drive execution of large-scale initiatives, and ensure that your teams deliver high-quality solutions that improve experiences for job seekers

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