Intern, Multimodal Sensing for Smart Home Applications

Job Description

• Collaborate with product owners, cross-functional team members in conducting research, and implementing machine learning models in the smart home living space in the food preparation and home wellbeing domains.
• Create smart home applications that leverage information fusion and multimodal sensing technologies.
• Develop innovative solutions in combining, analyse and interpret complex time series and visual datasets in discrete and time-series format to enhance user interactions and experiences.
• Hands-on in integrating sensor hardware data, and optimizing the system for seamless device communication network.
• Support team members and perform experimental design using customised apparatus.

Qualifications

Requirements

• Undergraduate or Postgraduate studies in Engineering, Computer Science or a related field.
• Experience in ML frameworks (Hugging Face Transformers, tensorflow), computer science, and data analysis. Experience with large language models, both encoder and decoder type is a bonus but not mandatory.
• Familiarity with multimodal sensing technologies, including visual processing and time series.
• Proficiency in programming languages such as Python, or C++.
• Understand and deploy Internet of Things (IOT) devices, communication protocols (I2C, SPI, and USB), embedded systems and environment sensors.
• Propose and develop machine learning algorithms or grey or black-box modeling to conduct sensor data analysis.
• Strong analytical and problem-solving abilities to troubleshoot and optimize system performance.

Eligibility:

• Candidate should fulfil the visa requirements for employment in Singapore
• Applicant must be enrolled throughout internship period, or plan to pursue further studies
• For foreign students studying overseas, you must be eligible for the Work Holiday Programme (WHP)