Job Location: San Francisco, CA
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity:
Adobe is looking for a Machine Learning intern who will apply AI and Machine Learning techniques to Search, discovery & recommendations problems and help Adobe better understand, lead, and optimize the experience of its customers.
By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.
All 2023 Adobe Interns will be ‘co-located hybrid’, meaning that you will be assigned to an Adobe office location, but in-office schedules will be flexible (2-3 days per week). All interns must live in the same state, country, and within commuting distance of their assigned Adobe office, so they can be on-site as needed. Interns visiting Adobe sites must follow all applicable COVID-19 health and safety protocols.
What you’ll Do:
- Build ML models on large-scale multimodal datasets to address various business problems in Search, Discovery and recommendations problem space.
- Apply statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems
- Work closely with other Machine Learning engineers and Data Scientists
- Demo your work to team members.
What You Need to Succeed:
- Currently enrolled full time and pursuing a master’s degree in Computer Science, Computer Engineering; or equivalent experience required
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
- Proficient in one or more programming languages such as Python, Java, Go, C++
- Familiar with one or more machine learning frameworks such as SciKitLearn , PyTorch , Tensorflow and data analysis tools like NumPy, pandas
- Strong analytical and quantitative problem-solving ability.
- Strong collaboration skills and inclination to show over tell.
- Ability to participate in a full-time internship between May-September
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