Research Engineer I

7 days ago

Singapore NTU (Nanyang Technology University- MainOffice-HR) Full time
We are looking for a Research Engineer to develop, implement,and oversee techniques and systems in Trust Technology and relatedareas such as privacy, security, blockchain and AI safety, whichare important components of digital trust platforms. The role willfocus on emerging technologies that engenders trust and espouse thevalues of fairness, safety, and privacy in digitaltechnologies.

KeyResponsibilities:
  • Conduct researchinto trust technologies testing - translating algorithms, tools,and frameworks into working prototypes that can explain howresearch outputs can be productized into newcapabilities.
  • Work closely with Centre'sresearchers to design and develop system implementation work fromresearch into the product.
  • Design and buildworking tools that can support the technology transfer of newcapabilities to research partners and can be used to showcase thevalue of a given research outcome.
  • Write andmaintain technical documentation, presentations, and papers onresearch into trust technologies testing, helping to educate andraise the overall competency in emerging areas of trusttechnologies.
  • Engage global partners andresearchers to understand latest trends and advance Singapore'smindshare in thisdomain.
JobRequirements:
  • Bachelor's in ComputerScience / Engineering or related field
  • At least1 year of experience working on productionsystems.
  • Proficiency in Python is a must.Experience with other programming languages such as Java, C/C++, orGo, and frameworks like PyTorch or TensorFlow, is highlyadvantageous.
  • Proficiency in working withcommon Linux distributions (e.g., Ubuntu, CentOS) and familiaritywith shell scripting and command-linetools.
  • Experienced in developing and deployingmachine learning models, with a focus on natural languageprocessing (NLP) and large language models (LLMs). Skilled in datapreprocessing, feature extraction, model training, and evaluation.Strong understanding of machine learning and deep learningtechniques, including knowledge graphs, machine unlearning, and AItesting. Proficient with version control (e.g., Git) andcollaborative tools. Expertise in end-to-end ML system development,covering data exploration, feature engineering, and modeltraining/evaluation. Familiar with cloud platforms (AWS, GCP,Azure), containerization (Docker, Kubernetes), and best practicesin software engineering.
  • Interpersonal skill(e.g. Keen attention to detail and commitment to high-qualitydeliverables. understanding of ethical considerations and bestpractices in AI research, particularly concerning data privacy andsecurity.)
  • Ability to communicate complextechnical concepts effectively to both technical and non-technicalstakeholders, bridging the gap between research and practicalapplication.
  • Strong analytical andproblem-solving skills, with a focus on developing innovativesolutions for LLMs. Self-motivated and able to work independently,managing multiple tasks and projects in a fast-paced environment.Strong collaborative skills, with experience working incross-functional teams.
Weregret to inform that only shortlisted candidates will benotified.

Hiring Institution: NTU

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