Company

FILPAL (S) Pte. Ltd.

filpal.com

Designation

AIML Software Engineer Intern

Date Listed

15 Apr 2026

Job Type

Entry Level / Junior Executive, Experienced / Senior Executive

Intern/TS

Job Period

Flexible Start, For At Least 6 Months

Profession

Engineering

Industry

Precision Engineering

Location Name

Ubi Crescent, Ubi Techpark, Singapore

Address

10 Ubi Cres, Singapore 408564

Map

Allowance / Remuneration

$1,000 - 1,500 monthly

Company Profile

Nature of Business: Design, Development, Manufacturing and Testing of Radio Frequency, Microwave and Millimeter Wave Industrial Products.

By understanding the latest needs and trends in the RF industry, FILPAL is a reliable RF turnkey solution provider in hardware, software and talent development to face the future of RF together.

FILPAL is a leading innovator in the RF and semiconductor industry, delivering AI-enhanced design solutions for wireless communication, radar, and satellite applications. By combining advanced simulation tools with real-world manufacturing expertise, FILPAL enables faster development cycles, higher design precision, and reliable delivery of next-generation products.

FILPAL comprehensive solutions leverage on our 3 main cores: turnkey hardware, EDA software and components and parts manufacturing in a mutually supportive dynamics to give the best service, solutions and product to our customers.

Rapidly expanding in skilled employees with strong problem-solving capabilities, FILPAL is poised to be a globally recognized RF solution provider.

Job Description

Job Summary:

Assist in the development and implementation of AI models focusing on Convolutional Neural Network (CNN)-based detection algorithms to enhance object detection and classification, and Reinforcement Learning (RL)-based algorithms for RF design optimization. The intern will work under supervision to integrate AI solutions into existing software frameworks, process RF data, and contribute to simulation and testing efforts. This role is ideal for a student from the Applied Artificial Intelligence course at SIT Singapore, providing hands-on experience in AI applications for real-world RF systems.

Key Responsibilities:

Implement and fine-tune YOLO-based object detection models for analyzing RF signals and spectrograms.

Collaborate with the development team to integrate AI models into Python-based back-end components, using libraries such as OpenCV, TensorFlow, or PyTorch.

Assist in data preprocessing, including handling I/Q data, signal features, and simulation outputs.

Participate in testing and validation of AI models using performance evaluation metrics like accuracy, precision, and recall.

Participate in design optimization with reinforcement learning.

Contribute to agile discussions, code reviews, and documentation of AI workflows.

Explore enhancements to YOLO for real-time detection in noisy RF environments, such as adapting to multipath interference or signal fading.

Support integration with existing RFDF tools, including databases (SQL/NoSQL) and visualization interfaces.

Current enrollment in the Applied Artificial Intelligence course or equivalent AI-focused program.

Basic understanding of machine learning concepts, with exposure to computer vision and decision making.

Basic understanding of mathematical optimization algorithm such as GA, PSO, gradient descent or random search.

Familiarity with programming in Python; experience with AI frameworks like PyTorch, or TensorFlow is desirable.

Strong problem-solving skills and ability to learn independently in a technical environment.

Good communication skills for team collaboration and reporting progress.

Interest in RF systems, signal processing, or drone technology is a plus, but not mandatory.

Qualifications:

Current enrollment in the Applied Artificial Intelligence course or equivalent AI-focused program.

Basic understanding of machine learning concepts, with exposure to computer vision and decision making.

Basic understanding of mathematical optimization algorithm such as GA, PSO, gradient descent or random search.

Familiarity with programming in Python; experience with AI frameworks like PyTorch, or TensorFlow is desirable.

Strong problem-solving skills and ability to learn independently in a technical environment.

Good communication skills for team collaboration and reporting progress.

Interest in RF systems, signal processing, or drone technology is a plus, but not mandatory.

Skillsets:

Basic proficiency in Python programming and data handling (e.g., NumPy, Pandas).

Understanding of object detection models, particularly YOLO variants.

Familiarity with decision making RL algorithms is a plus.

Familiarity with version control using Git is a plus.

Ability to work with datasets for training and evaluating AI models.

Strong analytical mindset for debugging and optimizing AI performance.

Optional Skillsets:

Experience with signal processing libraries or RF simulation tools (Ansys HFSS, CST Studio, Keysight ADS).

Knowledge of computer vision techniques for spectrogram analysis.

Nvidia Jetson embedded system programming.

Ability to prioritize tasks and manage time effectively in a project setting.

Familiarity with agile methodologies or collaborative tools like GitLab.

Application Instructions

Step (1):
Formal Application: Please submit a formal application for the role via our official career page:
https://www.filpal.com/jobs-internship/(singapore)-aiml-software-engineer-intern

Step (2):
Enclosed with Application form, MBTI and The Big Five Personality Test links.

Step (3):
Please provide these information:
(I) Completed Application Form (pdf Format)
*Please be reminded that you may select File>Make a Copy>My Drive to create your own copy of Application form to edit then Print>Save as PDF
(II) Screenshot result of your MBTI Test.
(III) Screenshot result of your The Big Five Personality Test.

Please feel free to take your time to respond. Let me know if anything isn't clear on my end as well.

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