Responsibilities:
- Serve as technical lead on deep learning projects across the company.
- Facilitate decision-making across cross-functional teams to drive progress and remove project uncertainties.
- Architect deep learning approaches to complex problems that respect business, medical, and physical constraints.
- Thoughtfully train, evaluate, and iterate on deep learning models.
- Stay up to date on industry trends and best practices.
- Contribute to our deep learning framework
Qualifications:
- 5-10 years industry experience developing Deep Learning models and using them in production.
- PhD/Master’s is preferred (Bachelor’s with significant industry experience will be considered).
- You are first and foremost a problem-solver willing to use the most appropriate tool for the job (even if it is not deep learning).
- Proficiency with modern ML learning frameworks such as Pytorch, Tensorflow or MXNet.
- Proficiency in Python.
- Extensive experience with AI for computer vision is preferred.
- Experience with generative adversarial networks, facial recognition, or natural language processing is a plus.
- Experience with 3D AI applications, ideally mesh or point cloud applications, is a plus.
- Experience developing and deploying Deep Learning algorithms in the cloud.
- You stay abreast of rapidly evolving AI field.
- You can articulate the problem approaches and results in a way that brings clarity to projects and focuses energy on achieving business goals.
- You’re a creative thinker and problem-solver who can generate and execute on innovative ideas.
- You enjoy working and contributing to projects as a team.
- You have good oral and written communication skills.
- You compliment your intelligence and confidence by being humble and open-minded.