2027 Intern - Machine Learning Engineer

Adobe

San Jose (CA)

Hybrid

USD 62,000 - 76,000

Full time

7 days ago
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Job summary

Adobe seeks Machine Learning Engineer interns to develop impactful AI systems across creative AI, intelligent agents, search, recommendations, and production ML models used by millions. Interns will be co-located hybrid, working between their assigned office and home, based where their manager and team are located to ensure collaboration and the best employee experience.

Requirements include enrolled full-time in CS/CE or related field with graduation between Dec 2027 and Jun 2028, strong ML/DL

Qualifications

  • Currently enrolled full time in CS/CE or related field with graduation between Dec 2027 and Jun 2028.
  • Strong foundation in ML and DL, including generative AI and LLMs.
  • Strong Python skills; Java or C++ a plus.
  • Experience with ML frameworks such as PyTorch or TensorFlow; familiarity with Hugging Face or LangChain a plus.
  • Exposure to cloud platforms (AWS, Azure, or GCP) or deployment workflows.
  • Strong analytical and quantitative problem-solving.
  • Excellent communication and collaboration skills.
  • Ability to participate in a full-time internship between May-September.

Responsibilities

  • Build and improve ML systems – including LLM-based applications, recommendation models, search and multimodal features.
  • Design, train, evaluate, and iterate on models across the full ML lifecycle from data to deployment.
  • Contribute to applied AI projects with real product impact at scale.
  • Collaborate with engineers, product managers, and researchers to ship solutions and communicate findings.

Skills

Machine learning concepts
Deep learning
Python programming
Communication skills
Analytical problem-solving
Team collaboration
internships May–Sept

Education

Bachelor's/Master's/PhD in CS/CE or related

Tools

PyTorch
TensorFlow
scikit-learn
Hugging Face
LangChain
AWS/Azure/GCP

Job description

Adobe seeks Machine Learning Engineer interns to develop impactful AI systems. These cover creative AI, intelligent agents, search, recommendations, and production ML models used by millions. Based on your team, you might be building LLM-based applications or developing multimodal AI systems. You could also compose evaluation frameworks or deploy models that directly influence how customers experience Adobe's creative and marketing products. All 2027 Adobe interns will be co-located hybrid, working between their assigned office and home, based where their manager and team are located. This will allow you to get the most support to ensure collaboration and the best employee experience.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let's Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity 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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process 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.

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 - $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

State-Specific Notices

California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What You'll Do
  • Build and improve machine learning systems - including LLM-based applications, recommendation models, search and retrieval pipelines, or multimodal AI features - depending on your team's focus
  • Design, train, evaluate, and iterate on models across the full ML lifecycle, from data preparation and experimentation through deployment and monitoring in production environments
  • Contribute to applied AI projects with real product impact, including generative AI features, agentic workflows, and intelligent systems used by Adobe customers at scale
  • Collaborate closely with engineers, product managers, and researchers to scope problems, ship working solutions, and communicate findings to both technical and non-technical partners
What You Need to Succeed
  • Currently enrolled full time and pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related technical field, with an expected graduation date of December 2027 - June 2028
  • Strong foundation in machine learning and deep learning concepts, including familiarity with generative AI and large language models (LLMs)
  • Strong Python programming skills; familiarity with other languages such as Java or C++ is a plus
  • Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow; familiarity with LLM tooling (e.g., Hugging Face, LangChain) or ML libraries such as scikit-learn is a plus
  • Exposure to cloud platforms (AWS, Azure, or GCP) or experience with model deployment and evaluation workflows is a plus
  • Strong analytical and quantitative problem-solving ability
  • Excellent communication skills and ability to work effectively in a collaborative team environment
  • Ability to participate in a full-time internship between May-September

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. There's more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us!

Adobe is proud to be an Equal Employment Opportunity 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.

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