Senior Machine Learning Scientist

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.

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