Asks for

The ad says“Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines”
The ad says“Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines”
The ad says“In addition, a solid grounding in writing optimized code in C++ and Python”
The ad says“Experience with Git and modern CI pipelines”
The ad says“Experience using profilers and debuggers to optimize code”
The ad says“Experience with Docker and Kubernetes”
The ad says“Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others”
The ad says“Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines”
The ad says“Experience with Git and modern CI pipelines”
The ad says“You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc.”
The ad says“Experience with Docker and Kubernetes”
The ad says“Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others”
The ad says“Experience with OpenCV and Open3D”
The ad says“Experience with OpenCV and Open3D”
The ad says“Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful”
The ad says“Experience using profilers and debuggers to optimize code”
The ad says“In addition, a solid grounding in writing optimized code in C++ and Python”
The ad says“You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc.”
The ad says“Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful”
The ad says“You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc.”
The ad says“You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc.”
The ad says“Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others”
The ad says“Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others”

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision
The role will involve understanding our current systems and their limitations and bringing your expertise in Computer Vision and developing ML models
At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures
Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy
You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc.
The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview

Preferred experience

While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines
Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role
Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful
In addition, a solid grounding in writing optimized code in C++ and Python
Experience building and maintaining production code
Ability to trace and solve problems across interconnected systems, pipelines and applications
Strong knowledge of Modern C++ and Python
Experience with Git and modern CI pipelines
BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience
Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines
5 or more years of related work experience
Experience using profilers and debuggers to optimize code
Experience with OpenCV and Open3D
Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others
Strong academic background and knowledge of ML and academic papers
Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow
Experience with Docker and Kubernetes
Previous startup experience