Machine Learning Engineer Intern
About The Position
Over the 12-week internship, you will work closely with a mentor to apply computer science practices to real-world engineering challenges. As part of a small team, you will contribute to back-end and front-end development through direct coding, problem-solving, and iterative product building. You will also examine large datasets to inform product development and decision-making, gaining experience in data-driven engineering. You will interact with other interns to enhance learning and foster connections, and experience Indeed’s engineering culture, which prioritizes autonomy, responsibility, and fast iteration. You may also have the opportunity to contribute to open-source technologies and community projects. The internship is hybrid, with specific in-office days to be determined later. Candidates must be based in Seattle, Washington; relocation is not available. Applicants must remain enrolled in an accredited degree program throughout the internship and be slated to graduate in December 2027 or later. Candidates must be authorized to work in the United States at the time of hire and maintain work authorization throughout the internship.
Requirements
- Currently enrolled in an accredited degree program throughout the internship and slated to graduate in December 2027 or later.
- Currently enrolled in a Master’s or Ph.D. program, 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, such as Torch, TensorFlow, Hugging Face, or XGBoost.
- Python and SQL programming experience.
- Legally authorized to work in the United States at the time of hire and throughout the internship.
- Based in Seattle, Washington.
Nice To Haves
- Opportunity to contribute to open-source technologies and community projects.
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.
- Contribute to back-end and front-end development through coding, problem-solving, and iterative product building.
- Examine large datasets to inform product development and decision-making.
Benefits
- Paid Time Off policy
- Quarterly bonuses may be included in total compensation.
- Restricted Stock Units (RSUs) may be included in total compensation.
- Region-specific benefits may be included.
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What This Job Offers
Career Level
Intern
