INTERNSHIP DETAILS

R&D Software Intern

CompanyAgilent Technologies
LocationShanghai
Work ModeOn Site
PostedAugust 7, 2026
Internship Information
Core Responsibilities
The intern will design and implement AI research tools, data preparation workflows, and deep learning models. They will also collaborate with the lead architect to translate technical roadmaps into prototypes and benchmarks.
Internship Type
part time
Company Size
18164
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Agilent customers are finding new ways to treat cancer, ensure food, water, air, and medicine quality and safety, discover new drug treatments, research infectious diseases, and create alternative energy solutions for a greener planet. From start to finish, we have them covered with our vast product solutions and services portfolio. Around the world, Agilent’s people bring innovations, technologies, and services to the forefront of science. Our teams design and manufacture a wide array of advanced analytical, research, and diagnostic solutions and tools for use inside and outside laboratories. Additionally, the unique expertise of Agilent’s CrossLab and technical teams provides valuable insight and support to our customers, helping them fully optimize their laboratories and resources to better focus on what's important: bringing great science to life. In fiscal 2022, Agilent Technologies generated revenue of (US) $6.85 billion.
About the Role

Job Description

Position Description:

We are looking for a motivated and hands-on AI/ML Software Engineer Intern to join an exploratory innovation initiative at Agilent Technology.

This role will work closely with the existing lead engineer, who will serve as the key designer and architect for the initiative. The new engineer will act as a strong counterpart and hands-on development partner, helping translate the technical roadmap into executable prototypes, data pipelines, model experiments, evaluation benchmarks, and internal demonstrations.

Principle Duties/ Responsibilities:

Design and implement algorithm tool for AI research.  Design and implement a clear data preparation and annotation workflow. Deep learning model research, concept proposal and prototyping and testing. Ensure all documentation is accomplished and in proper form including any important design specification.

Qualifications

MUST:

  • Master’s degree or above in Computer Science, Software Engineering, Electrical Engineering, Automation, Applied Mathematics, Data Science, Analytical Chemistry, Chemometrics, or a related technical field.

  • Hands-on experience with Python-based data processing and machine learning development.

  • Solid understanding of machine learning or deep learning fundamentals, including model training, validation, test set evaluation, overfitting, generalization, and performance metrics.

  • Experience with at least one deep learning framework such as PyTorch, TensorFlow.

  • Proficient in C# and .Net framework programming capabilities.

  • Strong software engineering capability, including clean coding, debugging, modular design, version control, and technical documentation.

  • Good analytical thinking, learning agility, and willingness to understand chromatography domain knowledge.

  • Good communication skills and ability to work closely with a lead architect, domain experts, and cross-functional stakeholders.

WANT:

  • Experience & knowledge of GC, GC/MS, LC, LC/MS, MassHunter, OpenLab CDS, or similar analytical software platforms.

Additional Details

This job has a part time weekly schedule.

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required:

No

Shift:

Day

Duration:

9-12 Months

Job Function:

General
Key Skills
PythonMachine LearningDeep LearningPyTorchTensorFlowC#.Net FrameworkData ProcessingAlgorithm DesignData AnnotationSoftware EngineeringDebuggingModular DesignVersion ControlTechnical DocumentationChromatography
Categories
SoftwareTechnologyScience & ResearchData & AnalyticsEngineering