Research Intern at Fujitsu

Feedinkoo; United States; Remote; USD 55,104 - 89,544; Full time

Benefits offered by this job

Comprehensive health benefits

401(k) plan

Positive work environment perks

Job summary

Feedinkoo is offering a Software Engineering Internship focused on building a visual model-building platform for Earth Science. The role involves designing and implementing user-friendly interfaces and developing backend systems for machine learning workflows. Candidates should be pursuing or have completed a degree in Computer Science, with strong Python programming skills.

This paid internship offers competitive compensation of $40/hr to $65/hr depending on location and comprehensive health benefits, as well as support for relocation.

Qualifications

• Working toward or recently completed a degree in Computer Science or equivalent.
• Strong programming skills in Python.
• Experience or interest in front-end development is a plus.

Responsibilities

• Design and implement visual programming interfaces for modeling workflows.
• Develop backend pipelines for executing ML workflows.
• Collaborate with climate scientists and ML researchers.

Skills

Python programming

Front-end development (e.g., React, TypeScript)

Problem-solving skills

Communication skills

Education

Degree in Computer Science, Software Engineering, or related field

Job description

Software Engineering Internship: Visual Model-Building Platform for Earth Science

Fujitsu Research of America (FRA) was founded in Silicon Valley to extend the global reach of Fujitsu R&D. The Digital Climate team focuses on building a visual, low‑code platform that allows users to compose, configure, and run Earth‑science machine learning models without writing code. The goal is to enable domain experts, such as climate scientists and hydrologists, to build models using block‑based interfaces while the system translates these workflows into executable machine‑learning pipelines.

Job Responsibilities

• Design and implement a block‑based or visual programming interface for composing Earth‑science modeling workflows.
• Develop backend pipelines that translate visual model definitions into executable ML workflows (e.g., data ingestion, model configuration, training, inference, evaluation).
• Build modular abstractions for common modeling components (datasets, preprocessing, models, losses, evaluation metrics).
• Integrate user‑defined workflows with existing ML frameworks and compute environments.
• Collaborate with climate scientists and ML researchers to ensure the platform supports real‑world Earth‑science use cases.
• Prototype and iterate on developer and user experience, focusing on usability for non‑programmers.

Requirements

• Working toward or recently completed a degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Python, with experience in building modular systems or pipelines.
• Experience or interest in front‑end development (e.g., React, TypeScript, or similar) or workflow/orchestration systems.
• Familiarity with machine‑learning concepts or ML frameworks is a plus, but deep ML expertise is not required.
• Strong problem‑solving and communication skills, with interest in building tools for scientific users.

Compensation and Benefits

Salary range: $40/hr to $65/hr USD, based on the geographic location in which the work is primarily performed. This role may be eligible for a short‑term incentive based on company results and individual performance.

Benefits: Comprehensive health benefits, 401(k) plan, and additional perks supporting a positive and healthy work environment.

Relocation Supported: Yes
Visa Sponsorship Approved: No

Equal Opportunity Employer

We are an equal opportunity employer and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by law.

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