Underwater R&T Intern

Thales is hiring an Underwater R&T Intern in Singapore, Singapore. Level rates it ; you can apply on Level.

AI in this role

Design and build an AI-based object classification system for 2D greyscale shadow images through the complete machine learning lifecycle.

pythonmatlabshell

machine-learningdata-annotationmodel-trainingcomputer-vision

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

TOPIC : Identify and Locate Objects Automatically in 2D Greyscale Images of Shadows

Description

We are developing a proof-of-concept (POC) demonstration system of an AI classification system to identify and locate objects in 2D greyscale images of shadows. The challenge in this case is that only the shadow of the objects projected on the ground is clearly visible, the objects themselves have limited visibility due to (1) the absence of color (2) only top view is given. The work involves entire machine-learning lifecycle including data exploration, data preparation (cleaning / transforming / annotation), feature selection, model training / testing and model tuning / selection.

Specific Responsibilities

Set up the computing hardware / software from scratch
Collect / clean / transform / annotate data
Survey / select / develop / compare candidate AI models
Develop software codes to automate model training / testing / tuning / selection

Key Requirements

Working knowledge in entire machine-learning lifecycle
Experience in any scripting language e.g. shell, Python, Matlab
Preferably experience in API calls e.g. HTTP, command line, linked library
Team player

Expected Outcomes

Demonstration of a working system with well-defined end-to-end test scenarios
Documentation of the finding, design and test cases / results
Team sharing and communication of various forms, including but not limited to live demo, video and workshops

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

How we rate this

Underwater R&T Intern at Thales rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Underwater R&T Intern is an open job at Thales.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Singapore.
The job was posted on October 15, 2026.
Seniority: intern.
Applications are handled by Thales. Apply on Thales

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningData AnnotationModel TrainingComputer visionPythonMatlabShell

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data annotation was part of your work. What did you do?
Tell me about a project where model training was part of your work. What did you do?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Data Annotation, Model Training, Computer vision, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Check your resume with the ATS resume checker