Machine Learning Engineer Technical Fellow

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 2025)

Day to Day

As a Machine Learning Engineering Fellow at Indeed, your technical leadership will play an integral role in accelerating improvements to our core search and recommendations platforms. You will have the opportunity to collaborate with smart, caring, and inclusive co-workers, including Product Managers, Software Engineers, User Experience, and, of course, your fellow MLEs. You'll be working across our retrieval, ranking, metadata, resume, and machine learning platform teams. If you love learning about a variety of different machine learning systems, identifying areas for improvement, and managing across teams to deliver on your vision, then this is a great role for you.

The Opportunity & The Power of Indeed Matching: With tens of millions of daily users and billions of structural data points, Indeed possesses one of the most powerful and scaled multi-sided matching ecosystems in the world. This role represents a unique, step-function opportunity to move beyond incremental optimization and architect the next generation of AI-first matching. You will directly spearhead transformative innovations in advanced generative retrieval, extreme multi-label classification clustering, and deep semantic ranking—fundamentally redefining how human potential connects with global employment opportunities at a massive scale.

You’ll observe the impact of your work every day. So if you’re a machine learning engineer who is passionate about driving innovation that helps people get jobs, we want you to apply!

You will be able to work from anywhere within the United States...