- Company: Adobe
- Job role: Intern – Research, Firefly
- Location: San Jose, San Francisco, Seattle,
- Employment Type: Internship
Adobe Internship Career Opportunity:-
Adobe is searching for a Machine Learning Engineer intern to decorate consumer reviews through AI and generative technologies. This interesting opportunity is within Adobe Firefly’s implemented research employer, in which you will work alongside proficient professionals who increase the Firefly circle of relatives of fashions from studies inception to manufacturing.
Our internship roles span numerous tiers of the improvement pipeline, from fundamental studies to superior improvement and manufacturing engineering. Your role will contain pioneering fashions and applications that shape the future of the era in images, videos, audio, and 3-D. Join us to help reshape the destiny of technology and customer reviews at Adobe!
What You’ll Do:-
-
- Work towards consequences-oriented research goals, identifying intermediate achievements.
- Contribute to investigation and superior improvement relevant to Adobe product improvement.
- Assist in integrating novel studies paintings into Adobe Firefly merchandise.
- Lead and collaborate on tasks throughout special teams.
Qualifications Required:-
- Currently enrolled complete-time and pursuing a Master’s or PhD in Computer Science, Computer
- Engineering, Electrical Engineering, Machine Learning, AI, Statistics, or a related field.
- 1 year of experience in laptop imaginative and prescient, herbal language processing, or machine getting to know.
- Some revel in in Generative AI.
- Ability to speak studies to public audiences of peers.
- Experience working in teams.
- Proficiency in Python and normal gadget getting-to-know development toolkits.
- Availability for a full-time internship between May and September.
Key Skills Required:-
Machine Learning and AI Expertise:
- A strong basis in the system getting to know concepts and algorithms.
- Experience with laptop imaginative and prescient or natural language processing.
Generative AI Experience:
- Some revel in generative models and techniques.
Research and Development:
- Ability to conduct outcomes-oriented studies and become aware of intermediate achievements.
- Experience contributing to analysis that may be carried out in product development.
Technical Proficiency:
- Proficiency in Python and common system getting to know improvement toolkits (e.g., TensorFlow, PyTorch).
- Familiarity with data processing and model schooling pipelines.
Communication Skills:
- Ability to speak study findings successfully to public audiences and friends.
- Strong verbal and written verbal exchange abilities for supplying complex thoughts.
Team Collaboration:
- Experience running efficiently in crew settings.
- Ability to steer and collaborate on past practical projects.
Problem-Solving Skills:
- Strong analytical competencies and the potential to tackle complicated issues.
- Innovative thinking and creativity in growing new solutions.
Flexibility and Adaptability:
- Ability to conform to changing undertaking requirements and priorities.
- Willingness to research and integrate new technologies and methodologies.
Educational Background:
- Currently enrolled full-time in a Master’s or PhD application in Computer Science, Computer Engineering,
- Electrical Engineering, Machine Learning, AI, Statistics, Scene Semantic Understanding, or a related field.
Availability:
- Ability to commit to a complete internship between May and September.
Why Join Adobe?
Joining Adobe as an intern provides an extraordinary possibility to work with cutting-edge technology and progressive groups. You’ll be part of dynamic surroundings where your contributions without delay affect product improvement and consumer reviews. Adobe’s dedication to creativity and innovation fosters professional increase, imparting you with the talents and enjoy to excel in your profession. Additionally, you will revel in the threat to collaborate with industry leaders and benefit from insights into the ultra-modern advancements in AI and system-gaining knowledge, all at the same time contributing to merchandise that shapes the future of technology.
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