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2025 Intern- Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Pursuing BS, MS, or PhD in computer science, Experience with Machine Learning and Computer Vision, Familiarity with recommendation models, Knowledge of machine learning frameworks like Pytorch or TensorFlow, Strong understanding of data structures and algorithms.

Key responsabilities:

  • Build deep learning architectures and apply research techniques
  • Work closely with diverse teams across different locations
  • Stay updated with latest research algorithms and share findings
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Adobe Computer Software / SaaS Large https://www.adobe.com/
10001 Employees
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Job description

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:

Internship at Adobe! 

As an Adobe Intern, you'll access socials, corporate social responsibility events, learning and networking opportunities! You'll also be assigned a dedicated Manager to support you throughout your time within the business. 

  • Location: Bucharest, Romania 

  • Duration: 9/6 months 

  • Start date: 1st of April/1st of July 2025 

  • End date: 31st of December 2025 

  • Application open between 14th of October until 16th of December 2024

  • Eligibility: Open to candidates who are graduating in 2025 or 2026

  • Hybrid: 3 days per week in the office, 2 days per week work from home 

What you'll do:
  • Build deep learning architectures and implement cutting-edge research on Computer Visions and Natural Language Processing systems;

  • Work closely with teams across Adobe, in different geographies. The technology you produce will have visibility at the highest levels of the company and materially affect the positive impact products have on our customers;

  • Stay current with the latest research algorithms and share your findings with the team and community.

What you need to succeed:
  • Pursuing a BS, MS, or PhD in computer science and Machine Learning;

  • Experience with Machine Learning and Computer Vision algorithms in academic or industry environments;

  • Familiarity with recommendation models;

  • Familiarity with machine learning frameworks (Pytorch, TensorFlow, or Jax);

  • Outstanding knowledge of data structures and algorithms;

  • Excellent written and verbal communication skills.

What to expect from the recruitment process:

Our selection process typically consists of three stages as follows:

  • 60 minutes Online Assessment;

  • 90 minutes Technical Interview with the team;

  • 45 minutes SoftSkills Interview with the Hiring Manager.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills

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