Senior Machine Learning Engineer

at Indeed in Boise, Idaho, United States 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 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be collaborating with a cross-functional product team to drive value and better customer experiences for our Sourcing product, which connects employers with new talent through AI. This Senior MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure. Responsibilities + Autonomously deliver ML and AI projects, including prompt development and evaluation, training ML models, building LLM -as-a-Judge capabilities, and building recommendation / ranking systems + Develop LLM and machine learning model improvements, scale them in production, and run iterative A/B tests to improve our Sourcing product + Estimate potential business impact of AI and ML and balance tradeoffs between delivery velocity and systematic infrastructure investments + Collaborate with cross-functional partners, including Machine Learning Engineers, Data Scientists, Software Engineers, Product, and UX designers/researchers + Define and implement evaluation, observability, and production monitoring approaches for ML and LLM -based systems. + Serve as a trusted partner and communicator for cross-functional and cross-team counterparts, translating technical concepts to facilitate productive collaboration. + Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team Skills/Competencies + Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, 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 + Prior success in deploying impactful Machine Learning and/or LLM -based solutions to large-scale production systems + Solid knowledge of data structures and algorithms + Demonstrated sense of ownership and accountability as a key contributor in the technical and product domains + Familiarity with agent orchestration frameworks, LLM observa To view full details and how to apply, please login or create a Job Seeker account