Research Engineer

4 days ago

Singapore IMDA Full time

IMDA is spearheading Singapore’s drive to be a world leading Digital Economy. We want to empower our companies and workforce with digital technologies and enable Singapore to be a leading Digital Economy globally.

We are looking for a **Research Engineer **to research and translate Trustworthy AI principles (e.g., fairness, explainability) into Trust Technology products. The role is part of the Trust Technologies Engineering division, which focuses on emerging technologies that engenders trust and espouse the values of fairness, safety, and privacy in digital technologies.

If you have a passion to contribute to the development of fairer and more transparent AI for all, we welcome you to join us on our journey as we architect Singapore’s digital future

**Responsibilities**
- Conduct research into AI testing - translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities.
- Work closely with the product managers, data scientists, and engineers to design and develop our AI Testing product, including implementing novel features 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 AI testing, helping to educate and raise the overall competency in emerging areas of trusted AI.
- Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain and representing IMDA at various international research forums.

**Requirements**:

- You have 5+ years of proven experience in end-to-end AI/ML system development, including data exploration, feature engineering, model training, as well as model evaluation.
- You have experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous
- You are proficient in coding and AI frameworks (e.g., Python, C/C++, PyTorch, TensorFlow, Scikit-Learn) as well as ML Ops best practices and tools (e.g., ML Flow).
- You can code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.

Position will commensurate with experience.

**Job Types**: Full-time, Permanent

Pay: $5,000.00 - $10,000.00 per month

Schedule:

- Day shift
- Monday to Friday

Supplemental pay types:

- 13th month salary
- Performance bonus
- Yearly bonus

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