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Intern – Machine Learning Engineer
| Company | Adobe |
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| Location | Seattle, WA, USA |
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| Salary | $45 – $61 |
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| Type | Internship |
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| Degrees | Master’s, PhD |
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| Experience Level | Internship |
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Requirements
- Currently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 2026
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts
- Deep expertise in computer vision, image processing, video processing, and machine learning for Generative AI
- Proficient in one or more programming languages such as Python, Java and C++
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
- Strong analytical and quantitative problem-solving ability
- Excellent communication, relationship skills and a team player
- Ability to participate in a full-time internship between May-September
Responsibilities
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques
- Develop and implement scalable, efficient, and interpretable modeling algorithms that work with large-scale production systems data
- Research and develop CV algorithms/models to generate image and video training data for GenAI foundation models and applications
- Collaborate with researchers and applied researchers to bring research ideas to production
- Collaborate with data, modeling, and inference platform teams to optimize, scale up, and deliver end-to-end solutions to production
Preferred Qualifications
No preferred qualifications provided.
