Velocity Tech has partnered with an exciting company in New York who are looking for a
Deep learning Engineer (NLP) to play a crucial role in advancing its core intelligence capabilities. This engineer will work closely with cross-functional teams to design, implement, and optimize systems that transform how insurers identify and manage fraudulent claims.
Responsibilities:
- Develop algorithms leveraging advanced machine learning and neural network techniques.
- Train, assess, and deploy deep learning models that power the company’s products.
- Conduct and collaborate on research projects aimed at enhancing product capabilities.
Required Skillss:
- A Bachelor's degree in Computer Science or a related technical discipline.
- A minimum of 2 years of experience in industry, academia, or government laboratories with a focus on computer vision and/or machine learning.
- Proficiency in addressing complex problems, evaluating alternative solutions, and balancing tradeoffs to determine the best path forward.
- Experience with Generative AI technology and fine-tuning models (such as instruct tuning, SFT, RLHF).
- Strong communication skills, with the ability to present research to public audiences or peers.
Bonus Points:
- A PhD in computer vision and/or machine learning or related fields.
- Experience as a first author in publications for peer-reviewed conferences like CVPR, ECCV, ICCV, NeurIPS, or SIGGRAPH.
- More than 4 years of experience in industry, academia, or government lab settings.