Our client is a leading MultiTech Social Media company. The incumbent will build new algorithms, new functionalities, and new architectures in their research platforms.
Key Responsibilities:
- Serve as a research engineer, focusing on executing engineering tasks to advance superintelligence through super sensing innovations.
- Develop and implement new algorithms, functionalities, and architectures across various modalities (e.g., CV, NLP, embodied AI) to enhance data curation, modeling, and research tools.
- Collaborate closely with research teams and partners to transform research ideas into scalable solutions and integrate them into our platforms.
- Support the development of large-scale foundation data and models, ensuring high quality and diversity to push the boundaries of superintelligence research.
- Contribute to publication efforts by translating research findings into impactful research outcomes and sharing advancements with the broader community
Qualifications:
- Bachelor's degree in Computer Science, Computer Vision, Machine Learning, or a related technical field MSc or PhD preferred.
- Min 1-4 years of experience in LLMs, foundation models, or data research, with the ability to independently implement and engineer advanced AI systems on cloud infrastructure
- Two years of experience in one or more of the following areas: Deep Learning, Computer Vision, LLMs, Machine Learning or Artificial Intelligence
- One or more years of experience in C/C++, Python or Rust
- Experience developing computer vision algorithms or computer vision infrastructure in C/C++, Python or Rust
- Experience in deep learning and PyTorch
- Experience with distributed systems algorithm development is advantageous
- Industry experience working on projects such as: 3D reconstruction, depth sensing, and/or image/video generation is advantageous
- Should have good communication and problem solving skills
If you are keen on this exciting opportunity, kindly Apply Now.
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Morgan McKinley Pte Ltd
Ramitha Ravindran
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