We are seeking a highly skilled and motivated Deep Learning Research Scientist to join our team and contribute to the development of an AI application that predicts height from images of children under age 5. As a Research Scientist, you will be responsible for designing and implementing state-of-the-art deep learning and computer vision algorithms to solve this challenging problem. Your work will play a crucial role in improving the accuracy and reliability of our height prediction models.
As a Deep Learning Research Scientist, you will be responsible for:
- Conduct in-depth research and stay up-to-date with the latest advancements in deep learning, computer vision, and related fields.
- Design and develop novel deep learning architectures and algorithms specifically tailored for height prediction from images of children.
- Collect, pre-process, and curate large datasets of images and associated height measurements for training and evaluation.
- Train and fine-tune deep learning models using cutting-edge techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and attention mechanisms.
- Optimize and enhance model performance through techniques such as data augmentation, transfer learning, and regularization.
- Collaborate closely with cross-functional teams including data scientists, software engineers, and domain experts to define project goals, requirements, and milestones.
- Conduct rigorous experimentation and analysis to evaluate model performance, identify limitations, and propose iterative improvements.
- Publish research findings in top-tier conferences and journals, and contribute to the scientific community through open-source projects and collaborations.
- Stay informed about ethical considerations and potential biases in AI applications, ensuring responsible and fair deployment of the developed models.
- Mentor junior researchers and provide technical guidance and support as needed.
To be successful in this role, you should have:
Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning, deep learning, or computer vision.
· Strong background in deep learning theory and practical experience in developing deep learning models.
· Extensive knowledge of computer vision techniques and algorithms, including image classification, object detection, and feature extraction.
· Proficiency in programming languages such as Python and familiarity with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).
· Proven track record of conducting cutting-edge research in the field of deep learning, as evidenced by publications in top-tier conferences/journals.
· Experience with large-scale data collection, pre-processing, and management.
· Strong problem-solving skills and ability to think critically and creatively.
· Excellent written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
· Ability to work independently as well as collaboratively in a fast-paced team environment
Prior experience in height prediction or related fields (e.g., human pose estimation, anthropometry) is a plus.
Why should you join us?
This is a full-time consultant position and remotely based and within 2 hrs overlap of GMT +5:30 time zone.
As part of the Welthungerhilfe team, you will have the opportunity to work with a global organization committed to ending hunger and malnutrition by 2030. Most importantly, you will have the satisfaction of knowing that your work is helping to save the lives of millions of children.
More than this generous/competitive remuneration, you’ll be doing the work of a lifetime with Child Growth Monitor. It’s a moonshot project just like autonomous car driving that no one has figured out completely yet. Your contribution can save the lives of 3 million children under age 5 who die from untimely diagnosis of malnutrition. Apart from this, you’ll have the opportunity to collaborate and publish papers with WHO, UNICEF, Microsoft, Tilburg University, respected independent researchers, etc.. You enjoy Flat culture, a friendly environment, teams making decisions, and a work-life balance. There are endless opportunities that you can work on.
Our Hiring Process
You apply
1. We short-list
2. [20 min] Preliminary discussion with HR
3. [2 working days] Assignment – Optional for Senior levels
4. [60 min] In-depth interview: 1st Domain/Technical round screen with the product team member
5. [60 min] In-depth interview: 2nd Domain/Technical Round with the product team member
6. [60 min] Interview with Product Head & HR (Behavioral & culture fit).
Diversity at Child Growth Monitor:
We are dedicated to creating an inclusive environment for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or caregiver status. We celebrate diversity and are committed to creating an inclusive environment for all employees. Diversity & Inclusion makes us better.
