Who are we looking for
We are looking for a Research Engineer where you will be working on research and development of cutting edge synthetic data generation techniques in our corporate lab with a university.
Work closely with a world-class engineering team alongside software and AI/ML engineers to develop and incorporate algorithms into our AI synthetic data generation platform.
This position is non-remote in Singapore.
What you will be doing
Responsibilities
Assist in conducting research and development of state-of-the-art generative models for tabular synthetic data including using cutting edge technologies such as Generative Adversarial Networks (GANs), language models (transformers, LLMs), diffusion models, etc.
Support and maintenance of research and web application software including performing experiments, building and deploying ML models, building microservices, building ml pipelines, developing user interfaces or visualisations.
Come up with new ideas or improve upon existing ideas in synthetic data generation including using generative models, language models, privacy preserving technologies or ethical/fair AI.
Develop and improve metrics to measure the quality of synthetic data including its utility and privacy.
Work closely with engineers in the end-to-end development of incorporating the algorithms into our synthetic data platform.
Opportunity to assist in publishing high quality research papers and publications in top conferences and journals.
Present, disseminate and explain our work at internal and external events.
Qualifications
Requirements
Undergraduate degree and above in Computer Science, Machine Learning, Statistics, Mathematics or a related field (e.g. Electrical Engineering).
Fluency in Python which we predominately work with. Basic use of other programming languages (Javascript, Typescript, C++) which we occasionally use would be good to have.
An understanding of the importance of good practices for producing reliable software and reproducible analyses (e.g. version control, issue tracking, automated testing, package management).
Good to have
Experience in one or more of the following areas:
Generative models (e.g. GANs, transformers, language models) - Strong plus
Deep learning / Neural networks
Privacy preserving technologies (differential privacy, trusted execution environments, blockchain)
Fair / Ethical AI
Data Science
Good programming experience in data science (e.g. numpy, pandas, plotly) and deep learning libraries (e.g. pytorch, keras, tensorflow).
Some AI research experience e.g. publications, contributions to relevant open source projects, past experience in research projects.
Some experience being part of end-to-end AI projects (e.g. project scoping, data collection, feature engineering, data engineering, model development, deployment, etc).
Strong communication skills - you are able to clearly express ideas both verbally and in written form in English.
Benefits
Flexible work schedule.
Flexible work arrangements:
Desk space in a university academic research lab.
Desk space in the heart of Singapore’s start-up zone at PIXEL in One North (secondary).
Occasionally remote.
How to apply
Betterdata is an equal opportunity employer. We celebrate diversity and strive to create an inclusive workspace for all employees. If you are an enthusiastic, motivated individual looking to make a real impact in the tech world, we would love to hear from you.
Submit your application here.
3x signed recommendation letters are required for submission.
If the above does not work, you may email us your CV (pdf format) at jobs@betterdata.ai
Include the title of the role in your subject
Indicate your available start - end dates (DDMMYY - DDMMYY)
Send along links/supporting information that best showcase the relevant things you have built and done
Take the leap and apply today to join us on our journey to reshape the data landscape!