Job description

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 valuable experience in data-driven engineering. Throughout the internship, you will interact with other interns to enhance learning and foster connections. You'll experience Indeed’s engineering culture, which prioritizes autonomy, responsibility, and fast iteration. Additionally, you may also have the opportunity to contribute to open-source technologies and community projects, further developing your technical skills and industry impact. Intern Eligibility • 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. • This internship will be hybrid, with specific in-office days to be determined later. Relocation is not available for this position. • 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. • 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. 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) At this time, we are only considering candidates for this role who are based in the following locations: Seattle, WA. The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site ( indeed.com ), and recruiters can confirm how location is considered for a specific role. Tier 3 - United States of America $ 55.00 - $68.85 per hour Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit indeed.com . If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page ( indeed.com ). Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at indeed.com , we also want to make you aware of our recruitment specific privacy policy found at indeed.com . Agency Disclaimer Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. AI Notice Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making. Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws. Reference ID: 47987

Requirements

Must-haves

Intern Eligibility
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.
This internship will be hybrid, with specific in-office days to be determined later. Relocation is not available for this position.
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.
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.
(*Comscore, Total Visits, March 2026)
At this time, we are only considering candidates for this role who are based in the following locations: Seattle, WA.
Tier 3 - United States of America $ 55.00 - $68.85 per hour
For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page ( https://www.indeed.com/careers ).
Inclusion & Belonging
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
Agency Disclaimer
Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws.
Reference ID: 47987

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlllmpythonsqlai

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Vision

Paid Time Off