Come join a very collaborative and innovative team to write the next chapter in AI. We value hands-on engaged individuals and provide an environment of growth and support.
Conduct design and development to build and optimize deep learning software. Design develop & optimize for deep learning training and inference frameworks. Implement various distributed algorithms such as model/data parallel frameworks parameter servers dataflow based asynchronous data communication in deep learning frameworks. Transform computational graph representation of neural network model. Develop deep learning primitives in math libraries. Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams. Optimizing code for various computing hardware backends. Interacting with deep learning researchers and experience with deep learning frameworks.
Responsible for preparing data for ML models at scale building appropriate inference interfaces for ML model consumption enabling ML Ops for continuous delivery and automation of ML pipelines and/or building and sustaining AI productization platforms.
Qualifications :
- MS degree with 6 years of experience or a PhD with up to 2 years experience
- 6-8 years of experience in AI and Data Science
- Hands-on model development and up to date with AI technologies
- Experience developing in Python
- PyTorch and/or Tensorflow
- Focus on computer vision use cases and models
Desired Qualifications:
- Direct work and interactions with customers
- Robotics and physical AI
Additional Information :
For California Colorado New York Washington and remote roles: The compensation range for this role is $116240 - $181700. Actual compensation is influenced by a variety of factors including but not limited to skills experience qualifications and geographic location.
Powered by SmartRecruiters - Candidate Privacy Policy
Remote Work :
No
Employment Type :
Full-time
Come join a very collaborative and innovative team to write the next chapter in AI. We value hands-on engaged individuals and provide an environment of growth and support.Conduct design and development to build and optimize deep learning software. Design develop & optimize for deep learning training...
Come join a very collaborative and innovative team to write the next chapter in AI. We value hands-on engaged individuals and provide an environment of growth and support.
Conduct design and development to build and optimize deep learning software. Design develop & optimize for deep learning training and inference frameworks. Implement various distributed algorithms such as model/data parallel frameworks parameter servers dataflow based asynchronous data communication in deep learning frameworks. Transform computational graph representation of neural network model. Develop deep learning primitives in math libraries. Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams. Optimizing code for various computing hardware backends. Interacting with deep learning researchers and experience with deep learning frameworks.
Responsible for preparing data for ML models at scale building appropriate inference interfaces for ML model consumption enabling ML Ops for continuous delivery and automation of ML pipelines and/or building and sustaining AI productization platforms.
Qualifications :
- MS degree with 6 years of experience or a PhD with up to 2 years experience
- 6-8 years of experience in AI and Data Science
- Hands-on model development and up to date with AI technologies
- Experience developing in Python
- PyTorch and/or Tensorflow
- Focus on computer vision use cases and models
Desired Qualifications:
- Direct work and interactions with customers
- Robotics and physical AI
Additional Information :
For California Colorado New York Washington and remote roles: The compensation range for this role is $116240 - $181700. Actual compensation is influenced by a variety of factors including but not limited to skills experience qualifications and geographic location.
Powered by SmartRecruiters - Candidate Privacy Policy
Remote Work :
No
Employment Type :
Full-time
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