Senior Machine Learning Engineer
About the Team
Our AI team is at the heart of our platform, the webAI™ Navigator. We are responsible for the training, deployment backend, comprehensive MLOps, crafting custom solutions, and spearheading research into cutting-edge algorithms. Our collaborative ethos ensures we work closely with other teams, leveraging collective expertise for rapid development.
About the Role
As a Sr ML engineer, you will work on designing, developing, and implementing ML models and architectures across diverse domains like vision and language. The ideal candidate will possess expertise in creating and implementing custom architectures for multi-modal networks, and large-scale language or vision models.
As a Sr ML engineer, you will work on designing, developing, and implementing ML models and architectures across diverse domains like vision and language. The ideal candidate will possess expertise in creating and implementing custom architectures for multi-modal networks, and large-scale language or vision models.
Responsibilities:
- Research, design, implement, and fine-tune a broad spectrum of machine learning models, encompassing deep learning architectures, to bolster or advance our platform.
- Enhance and expand our existing ML libraries and proprietary frameworks.
- Collaborate with R&D and software engineering teams.
- Stay up to date on latest AI trends and research papers.
- Elevate the efficiency and effectiveness of our existing training and inference frameworks.
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, or related fields (MS, PhD preferred).
- 3+ years of hands-on experience in developing and deploying ML models and solutions.
- Ability to write production-level code in Python.
- Experience working with Tensorflow and/or PyTorch.
- Proven track record of accomplishments, showcased through publications or previous work experience
