If you are great at what you do, we want you. See our job openings below.
Researcher - Cyber Security (All Levels)
Researcher - Cyber Security (All Levels)
Work Type
Location
Responsibilities
- Collaborate with cyber threat experts to enhance system security
- Conduct fuzzing, reverse engineering and code audit to look out for security flaws on software
- Develop proof-of-concept in software security flaws
- Investigate security flaws found and provide remedies to counter cyber threats
Requirements
- Diploma/Degree in Information System, Computer Science or Computer Engineering or equivalent
- Possess strong interest and passion in the Cyber Security domain
- Strong background in assembly language, C
- Knowledge in Android/iOS internals, security mitigation
- Experience in reversing engineering would be an added advantage
- Certification in OSCP, OSCE would be an added advantage
What we offer
- Competitive salary, performance bonuses and attractive benefits.
- A flat hierarchy with minimal bureaucracy. All technical leads are also hands-on
- Opportunities to pursue your interests (within the objectives of the company)
- Learning opportunities through courses, seminars and conferences
- A stable working environment
- Flexible working hours
- A chance to make a real difference to society through your work
Researcher (Cyber)
Researcher (Cyber)
Work Type
Location
Responsibilities
- Collaborate with cyber threat experts to enhance system security
- Conduct fuzzing, reverse engineering and code audit to look out for security flaws on software
- Develop proof-of-concept in software security flaws
- Investigate security flaws found and provide remedies to counter cyber threats
Requirements / Qualifications / Years of Experience
- Diploma/Degree in Information System, Computer Science or Computer Engineering or equivalent / 3 to 5 years of Experience
Preferred Skills
- Experience in reverse engineering
- Experience with code auditing and a deep knowledge of the different vulnerability types
- Experience in vulnerability finding
- Experience in C and python programming, ARM/AArch64 assembly
What We Offer
- Competitive salary and attractive benefits.
- A flat hierarchy with minimal bureaucracy, enabling faster decision-making and ownership.
- Learning opportunities through sponsored courses, industry seminars and international conferences.
- A stable yet dynamic working environment.
- Flexible working arrangements.
- An opportunity to create meaningful impact on society through your work
AI Researcher
AI Researcher
Work Type
Location
Summary
Responsibilities
- Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
- Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
- Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
- Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
- Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.
AI development
- Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
- Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
- Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
- Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
- Stay current with the evolving agent landscape and share learnings with the team.
Technical development
- Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
- Query and manipulate structured data from relational databases using SQL.
- Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
- Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
- Assist in building reproducible data pipelines and experiment tracking workflows.
Collaboration & communication
- Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
- Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
- Present findings to internal and client-side collaborators, including non-technical audiences.
- Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.
Requirements
- Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
- Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
- Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.
Technical skills — essential
- Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
- Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
- Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
- Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.
Personal Qualities
- Research mindset
- Intellectually curious across both quantitative and AI domains
- Rigorous and detail-oriented in analysis and documentation
- Comfortable with ambiguity and iterative problem-solving
- Honest about uncertainty — in models and in LLM outputs
- Working style
- Clear communicator, written and verbal
- Collaborative team player in a research environment
- Self-directed with good time management
- Eager to learn and receive constructive feedback
Experience
We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.
Software Engineer (Robotics) / Senior Software Engineer (Robotics)
Software Engineer (Robotics) / Senior Software Engineer (Robotics)
Work Type
Location
Overview
Responsibilities
- Design and implement algorithms for robot software systems.
- Integrate and test the developed algorithms with robot platforms
- Write and maintain the developed software systems taking full ownership of it.
- Work with other team members to test the robot platforms at various test sites
- Setup up necessary simulation tools for development testing
Requirements
- Degree in Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering or equivalent.
- 2+ years of relevant experience in robotics software development and integration.
- Proficient in programming languages such as C++ and Python.
- Proficient in ROS 2 framework and Linux environment.
- Proficient in Docker or other container systems.
- Experience in any of the following areas – Localization, Navigation, Motion Planning, and/or Robot Perception.
- Experience in other areas of software development such as web will also add value to the applicant though not necessary.
- Experience with mobile robots or manipulators will be a plus.
- Experience with Embodied AI, Foundation Model and/or LLM will be a plus
Brand Experience Associate
Brand Experience Associate
Work Type
Location
About the Role
This role is ideal for a passionate junior professional who enjoys blending design, content creation, multimedia production, and digital marketing to create engaging brand experiences.
Responsibilities
• Assist in designing intuitive and user-centric interfaces for company products and digital platforms.
• Collaborate with multiple stakeholders to ensure seamless user experiences.
Content Creation & Copywriting
• Develop engaging content for company blogs, newsletters, websites, and social media platforms.
• Support content planning, campaign development, and audience engagement initiatives.
Multimedia Production
• Capture and edit photography and videography content for events, product launches, campaigns, and corporate communications.
• Produce short-form videos, promotional materials, social media content, and marketing assets.
Website Design & Maintenance
• Monitor website performance, user experience, and SEO best practices.
• Work with internal stakeholders to ensure website content, landing pages, graphics, and multimedia assets remains accurate and relevant.
AI-Enhanced Marketing & Creative Workflows
• Utilise AI-powered tools to improve design, content creation, video production, and productivity workflows.
• Stay updated on emerging digital marketing, design, and AI trends.
Requirements
• Diploma or Degree in Marketing, Communications, Digital Media, Multimedia Design, UX/UI Design, or a related field.
• Fresh graduates and candidates with up to 2 years of relevant experience are encouraged to apply.
Technical Skills
• Proficiency in design tools such as:
o Adobe Creative Suite (Photoshop, Illustrator, Premiere Pro, After Effects)
o Figma or similar UI/UX platforms
o Canva or equivalent creative tools
• Familiarity with website content management systems (e.g. WordPress, Wix, or similar).
• Proficiency in HTML/CSS is an advantage.
AI & Digital Skills
• Familiarity with AI-powered tools such as: o Microsoft Copilot, ChatGPT o Midjourney or similar generative AI tools
• Ability to leverage AI responsibly for content generation, ideation, design, and productivity enhancement.
Personal Attributes
• Creative thinker with strong visual storytelling skills.
• Excellent written and verbal communication skills.
• Strong attention to detail and design aesthetics.
• Self-motivated, curious, and eager to learn new technologies.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
What Success Looks Like
• Create engaging digital experiences that strengthen our brand.
• Produce compelling content that drives audience engagement.
• Deliver high-quality visual assets for marketing campaigns and events.
• Champion the effective use of AI and modern creative technologies to enhance marketing outcomes.
Internship (Digital Design & Marketing)
Internship (Digital Design & Marketing)
Work Type
Location
Role Overview
Responsibilities
- Support content creation/curation/iteration for anniversary marketing efforts.
- Brainstorm creative approaches to bring out the company culture and the value of our work.
- Design eDMs/email newsletters to share with internal & external stakeholders.
- Assist in event setup and co-ordination (pre-event, on-site and post-event).
- Support development of creative collaterals to support brand development.
- Proficiency in writing long-form and short-form content (e.g. blog posts, website updates, social media captions) will be a plus
- Conducting research on relevant B2B design concepts.
Requirements
- Currently pursuing a Diploma / Degree in Design/ Art/ Digital Media/ Business Administration/Management
- Prior digital design experience is preferred but not required
- Availability fulltime for at least 4-6 months or more
- Strong communication and collaboration skills
- Knowledge of HTML Newsletter design and/or WordPress is a plus
- Please include any relevant projects/portfolio in your application
- Singaporean & PR only
Tools
- Mainstream design and collaboration tools (e.g. Adobe Illustrator, Adobe Experience Design, Adobe Photoshop, Canva, Figma, etc) OR equivalent
What we offer
- Gain real-world knowledge through hands-on experience
- A chance to make a real difference to society through your work
- Professional growth and good learning opportunities
