[Hiring] Machine Learning Engineer II @Indeed

Role Description

As a Senior Machine Learning Engineer, you will work on developing, deploying predictive models and genAI capabilities that support various business functions. Your daily activities include:

• Exploring data to define problem statements
• Building and optimizing machine learning models
• Monitoring their performance in production environments
• Collaborating with cross-functional teams to integrate machine learning solutions into products
• Staying informed about the latest advancements in the field to continuously improve model effectiveness and innovation

Who you are:

• 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)

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with 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
• Prior success in deploying impactful Machine Learning solutions to large-scale production systems
• Solid knowledge of data structures and algorithms
• Exceptional sense of ownership
• Excellent written and verbal communication in English, effective with technical audiences
• Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)

Benefits

• Quarterly bonuses
• Restricted Stock Units (RSUs)
• Paid Time Off policy
• Region-specific benefits

Company Description

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)