Research Engineer I (Trust Technologies) (R00019690)

Nanyang Technological University; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Research Engineer to join their innovative team focused on AI Safety and Trust Technology. This role involves collaborating with industry partners to apply cutting-edge techniques like secure multi-party computation and homomorphic encryption in privacy-preserving machine learning. You'll be responsible for translating research into practical applications, designing tools for technology transfer, and engaging with global experts to advance the field. If you're passionate about ethical AI practices and thrive in a dynamic environment, this opportunity is perfect for you.

Qualifications

• Bachelor's degree in computer science or related fields required.
• Proficiency in C/C++, Python, and machine learning frameworks essential.

Responsibilities

• Conduct research into trust technologies and develop prototypes.
• Collaborate with researchers to turn research into products.

Skills

C/C++

Python

Machine Learning

Deep Learning

Analytical Skills

Problem-Solving

Interpersonal Skills

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Tools

PyTorch

TensorFlow

Linux

Docker

Kubernetes

AWS

GCP

Azure

Git

Job description

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize.

For more details, please view https://www.ntu.edu.sg/dtc

We are looking for aResearch Engineer to be involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying secure multi-party computation, homomorphic encryption, and federated learning in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Conduct research into trust technologies testing – translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities.

• Work closely with Centre’s researchers to design and develop system implementation work from research into the product.

• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.

• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.

• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.

• Proficiency in C/C++, Python and machine learning framework such as PyTorch/TensorFlow are essential. Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting.

• Strong knowledge of machine learning and deep learning techniques (e.g., CNN and tree-based ML models). Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) experience required. Experience with Secure Multi-Party Computation (SMPC), Homomorphic Encryption (HE) and Federated Learning (FL) is a plus.

• Familiarity with Git and collaborative development tools with experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) is advantageous. Solid understanding of software engineering principles and best practices and the ability to explain complex technical concepts to both technical and non-technical audiences.

• Competent with strong analytical, problem-solving, and innovative thinking skills and a good understanding of ethical AI practices, especially related to data privacy and security.

• Interpersonal skill (e.g. Self-motivated, able to work independently in a fast-paced environment with strong collaboration skills. Experience working in cross-functional teams with attention to detail and commitment to delivering high-quality results.)

We regret to inform that only shortlisted candidates will be notified.