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0 Candidatos |
Descripción del puesto:
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
Requerimientos del candidato/a:
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
* http://www.mom.gov.sg/passes-and-permits/work-pass-exemption-for-foreign-students
* 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)
* http://www.mom.gov.sg/passes-and-permits/work-holiday-programme/eligibility
| Origen: | Web de la compañía |
| Publicado: | 29 Abr 2026 |
| Tipo de oferta: | Prácticas |
| Sector: | Electrónica de Consumo |
| Idiomas: | Inglés |
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