Deep Learning Engineer

Industry: Artificial Intelligence

Remote

Company size: 1-10

Full-time/Part-time

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Job description

A fast-growing company that is developing deep-tech solutions to help farmers transition to sustainable agriculture through the use of AI and sensor technology, is looking for a Deep Learning Engineer. The engineer will be in charge of enhancing and improving the current models and algorithms. The company is developing tractor-mounted smart camera systems that let farmers track the health of their plants and monitor pest activity in real-time. The company has managed to securely raise more than $125K during their Pre-Seed round of funding.

Job Responsibilities:

Work together with cross-functional teams to specify the project's needs and outputs
Analyze and assess the effectiveness of deep learning algorithms and models
Design and create a whole deep learning pipeline (data gathering, pre-processing, training, validation, and deployment) for analysis of images and videos in real-time
Utilize and improve models on Edge devices with constrained computational power

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science, or Electric Engineering (or equivalent experience)
At least 3+ years of relevant experience as a Deep Learning Engineer
3+ years of expertise in building multi-task perception models based on deep learning at the production level.
Skilled in cross-attention, GAN, and advanced deep learning architectures such as the Voxel/BEV grid-based feature
Basic knowledge of multiview geometry, traditional computer vision, and 3D computer vision
3+ years experience working on deploying models on Edge devices and limited computational resources (Nvidia Jetson or other similar)
Strong proficiency in C++ (for model deployment, re-simulation, pre/post-processing)
Demonstrable experience with Python, TensorFlow, PyTorch, and other deep-learning frameworks
Nice to have some familiarity with Sensor Fusion, Localization, ROS, and 3D reconstruction or overall working in Robotics perception applications or Automated driving systems
Knowledge of software versioning, tracking, and documenting tools (Jira)
Prolific experience working with Computer Vision
Familiarity with DevOps and Docker is desirable
Nice to have experience working with Python and Machine Learning
Excellent spoken and written English communication skills

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