Machine Learning Engineer Intern

Public source summary from intern-list.com / Jobright.

Indeed is hiring a Machine Learning Engineer Intern to develop and productionize machine learning models and apply them to product applications. The intern will work with a mentor and cross-functional teams, contribute to software development, and use data to inform product decisions.

Responsibilities

Develop a variety of models from prototype to production Implement best practices for evaluation, monitoring, and Machine Learning Operations (MLOps) Partner with cross-functional teams on model inference and product applications Participate in code review and process innovation for the team's software engineers and Machine Learning Engineers, and document work Prioritize technical and product thinking, showing ownership for team priorities and Indeed’s mission to help people get jobs

Qualifications: We are only considering students who will be enrolled in an accredited degree program throughout this internship and are slated to graduate in December 2027 or later Students must be legally authorized to work in the United States for the duration of the internship The student must have work authorization in the United States at the time of hire, and maintain ongoing work authorization during employment Currently enrolled in a Master's or Ph.D. program with an anticipated graduation date of December 2027 or later, pursuing a degree in a technical field Significant domain knowledge with training, fine-tuning, and evaluating machine learning models Knowledge and practical experience working on ML/LLM/Deep Learning models (e.g., Torch, Tensorflow, Huggingface, XGBoost) Python and SQL programming experience

Benefits: Over the 12-week internship, you will work closely with a mentor. This internship will be hybrid, with specific in-office days to be determined later. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.