Computer Vision Engineer

Who We Are

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable

For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system

Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks

Motive serves more than 120,000 customers from Fortune 500 enterprises to small businesses across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector

Visit gomotive

com to learn more

About The Role

As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the worlds trucks

The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer

You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications

You will play a critical role in building and improving a technology that will be used by millions of trucks

In this role, you will design and implement complex computer vision systems

You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features

You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems

What Youll Do

Improve the performance of our models and algorithms already in production

Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i e,

the next-gen AI dashcam

Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines

Convert state-of-the-art research prototypes into reliably working product features

Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features

Solve challenging object detection, segmentation, recognition, and geometric computer vision problems

Build automated deployment, validation, and active learning pipelines

What Were Looking For

At least 3+ years of algorithm development experience in the area of Computer Vision, Deep Learning, and Machine Learning

Candidates with Masters in Computer Vision, Deep Learning, and Machine Learning and 2+ years of relevant experience

Fresh PhD candidates are encouraged to apply

Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches

Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)

Strong experience in Python or C++

Hands-on experience in building embedded algorithms and applications

Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes

Prior experience with Eigen library and RTOS is a strong plus

Creating a diverse and inclusive workplace is one of Motive's core values

We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives

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