Machine Learning Engineer for Large Scale AI Project (Computer Vision)

Promising drone-delivery startup is hiring a Dataset and Machine Learning Manager to work remotely. OneSec is working on a groundbreaking GPT-scale machine learning project to make autonomous delivery drones. In this job, you will build the Datasets and Neural Networks that fly our autonomous delivery drones. These drones will then deliver millions of meals and other packages in the real world.

About OneSecondDelivery

We are creating a food delivery app that uses autonomous drones to deliver the food. We deliver everything 3 times faster and 10 times cheaper, thanks to small autonomous delivery-robots. The company was founded in 2017 by a leading expert on drone legislation and a successful e-commerce entrepreneur. The Swiss Federal Institute of Technology’s Vice Presidency of Innovation has recognized the large potential of this project and has supported us with the XGrant Prize.

Check out our website OneSec.com for more info

Job Description

OneSec is building one of the largest machine learning projects in the drone industry. With our own photorealistic flight simulator, and a fleet of prototype drones, we are building one of the largest depth perception datasets in the world, with 150 million training samples.

Your job has 2 components:

• Primary: Dataset generation: using open source AI models to generate pseudo labels for a large image dataset. Generating synthetic stereo images from images with depth map. Filtering the LAION-5B image dateset for suitable images.
• Secondary: Train models, modify CNN architecture etc.

Requirements

• You should be excited about this project, and like the mission of our company.
• Strong expertise in machine learning and neural networks.
• Experience with computer vision and CNNs (resnets etc)
• Experience with PyTorch & CUDA
• Good computer skills, and general tech savvy: a lot of infrastructure work, writing scripts to process images at scale, etc.

Benefits:

• Take part in a huge success story
• Competitive cash compensation
• Equity compensation