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 As a Senior Machine Learning Engineer on our Marketplace Efficiency team, you will build the models that make our two-sided marketplace work for employers and job seekers. You will own problems end to end - frame the question, build the model, evaluate it offline, then run a live experiment to measure what changed. The work spans prediction, forecasting, and optimization under uncertainty at global scale. The marketplace reacts to what our models do, so you will reason about cause and effect rather than correlation. You will also apply generative AI where it improves the work, from evaluation tooling to new modeling approaches. The team runs on evidence. Every experiment records its hypothesis, its result, and the question it opens next. You will partner with product, Data Science, and engineering counterparts, and mentor other engineers and scientists. We protect capacity for exploratory research, so part of your time goes to ambitious bets rather than incremental gains. Responsibilities + Build highly scalable and performant recommendation systems and technologies that can identify optimum matches between millions of jobs and millions of job seekers in real-time. + Experiment with Proof-Of-Concept Machine Learning ( POC ML) model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology. + Mentor other software engineers, data scientists, and Machine Learning Engineers in the team. + Break down larger Machine Learning initiatives into pieces that deliver incremental business value and implement them. + Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning ( ICML ), and International Conference on Learning Representations ( ICLR ). Skills/Competencies + Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master's degree with a minimum of 3 years of experience; or a PhD without experience + Proficiency in Python To view full details and how to apply, please login or create a Job Seeker account