2027 Intern - Machine Learning Engineer

Adobe; San Francisco; Hybrid; VES 56,665,000 - 69,258,000; Full time

Benefits offered by this job

Hybrid work arrangement

Exposure to cutting-edge AI research

Job summary

Adobe is seeking Machine Learning Engineer interns to build impactful AI systems, from LLM-based apps to multimodal features, with opportunities to contribute to production ML models used by millions.

Interns will work in a co-located hybrid setup, collaborating with engineers, product managers, and researchers to deliver real product impact. The program targets candidates pursuing CS/CE degrees and offers exposure to cutting-edge AI research and deployment workflows.

Qualifications

• Currently enrolled full-time in CS/CE and pursuing a Bachelor's, Master's, or PhD with expected graduation in 2027–2028.
• Strong ML and deep learning fundamentals, including generative AI and LLMs.
• Proficient in Python; Java or C++ is a plus.
• Hands-on experience with PyTorch or TensorFlow; familiarity with Hugging Face or LangChain is a plus.
• Exposure to cloud platforms (AWS/Azure/GCP) or deployment workflows is a plus.

Responsibilities

• Build and improve ML systems, including LLM-based apps, recommendation models, search/retrieval, and multimodal AI features.
• Design, train, evaluate, and iterate models across the ML lifecycle from data prep to deployment and monitoring.
• Contribute to applied AI projects with real product impact and scalable AI features.
• Collaborate with engineers, product managers, and researchers to scope problems and communicate findings.

Skills

Python

ML/DL fundamentals

Communication skills

Team collaboration

Problem solving

Education

Pursuing Bachelor's/Master's/PhD in CS/CE

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

AWS

Azure

GCP

Job description

The Opportunity

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-powered 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.

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

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.

Equal Employment Opportunity

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 [e-mail].

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.