Betterdata
Actively Hiring
Programmatic Synthetic Data for Data Privacy
- Early StageStartup in initial stages
Postdoc Research Fellow (GenAI & Privacy)
- $54k – $72k • 0.0% – 0.3%
- 3 years of exp
- Full Time
Reposted: 1 month ago
Visa Sponsorship
Available
Remote Work Policy
In office - WFH flexibility
Preferred Timezones
Astana Time, Indochina Time, China Standard Time, Japan Standard Time, Brisbane
Collaboration Hours
9:00 AM - 5:30 PM China Standard Time
RelocationAllowed
Skills
Python
Machine Learning
Statistics
Research
Researcher
Deep Learning
NLP
PyTorch
GANs
Hiring contact
Kevin Yee
About the job
Who are we looking for
- We are looking for a Postdoc Research Fellow (PhD Graduate) where you will be working on research and development of cutting edge synthetic data generation techniques in our corporate lab with a top Singapore university where you will be seated in a collaborative environment with researchers in AI and privacy.
- 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.
What you will be doing
Responsibilities
- Conduct 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), transformers.
- 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.
- Do code reviews of team members and share feedback.
- Publish high quality research papers and publications in top conferences and journals.
- Present, disseminate and explain our work at internal and external events.
Qualifications
Requirements
- PhD in Computer Science, Machine Learning, Statistics, Mathematics or a related field (e.g. Electrical Engineering).
- Strong background (2+ years of experience) in one or more of the following areas:
- Generative models (e.g. GANs, transformers, language models, diffusion models) - Strong plus
- Deep learning / Neural networks
- Privacy preserving technologies (differential privacy, trusted execution environments, blockchain)
- Fair / Ethical AI
- Data Science
- Fluency in Python which we predominately work with.
- Demonstrated ability to come up with new ideas or improve existing ideas in machine learning, demonstrated by accomplishments such as first author publications, contributions to relevant open source projects, or leading research projects.
- Strong communication skills - you are able to clearly express ideas both verbally and in written form in English.
Good to have
- Proficient programming experience in data science (e.g. numpy, pandas, plotly) and deep learning libraries (e.g. pytorch, keras, tensorflow).
- Experience leading and implementing end-to-end AI projects (e.g. project scoping, data collection, feature engineering, data engineering, model development, deployment, etc).
Benefits
- Flexible work schedule.
- Flexible work arrangements:
- Desk space in an academic research lab.
- Desk space in the heart of Singapore’s start-up zone at PIXEL in One North (secondary).
- Occasionally remote.
- Employment Pass (EP) can be arranged for overseas candidates. This role requires you to be based in Singapore.
How to apply
Does this role sound like a good fit to you?
- Visit our career page to learn more here.
- If the above does not work, you may email us your CV (pdf format) at jobs(at)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
About the company
11-50
Big Data
Artificial Intelligence
Enterprise Software Company
Governments
- Early StageStartup in initial stages