Deep Learning Engineer

Empowering Smart Voyage's Core with Cutting-Edge Models and Systems

Are you eager to make a lasting impact on the future of maritime autonomy? As a Deep Learning Engineer at Smart Voyage, you'll play a pivotal role in building and enhancing our core product through groundbreaking machine learning models and systems.

Jacksonville, FL

Permanent

• Master's degree in Electrical Engineering, Robotics, Machine Learning, or a related technical field, or equivalent practical experience
• Extensive experience in applying machine learning techniques to solve real-world challenges, demonstrating a passion for tackling exciting problems
• Proficient programming skills in C/C++ and MATLAB, with hands-on experience in deep learning frameworks like PyTorch or Tensor Flow
• Familiarity with various data science tools, including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, and a Linux environment

• Leverage computing clusters to train machine learning and deep learning models for visual recognition tasks, such as segmentation and detection
• Optimize deep neural networks and related preprocessing/postprocessing code to achieve efficient execution on embedded devices, enhancing real-time capabilities
• Pioneer the development of state-of-the-art algorithms in diverse areas, encompassing deep learning, object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, dense depth estimation, and more

By joining Smart Voyage as a Deep Learning Engineer, you'll have the chance to shape the future of autonomous navigation. Your expertise and innovation will drive the evolution of our maritime technologies, enhancing the safety and efficiency of voyages ether, let's embark on a journey where cutting‑edge deep‑learning methodologies set the course for a safer, smarter, and more sustainable maritime industry.