Machine Learning Engineer

A rapidly-emerging company that ​​designs, trains, and fine-tunes AI models for marine conservation initiatives is looking for a Machine Learning Engineer. The selected candidate will be responsible for offering solutions to the shortcomings in present algorithms. The company's software uses powerful artificial intelligence to expedite the most time-consuming elements of the electronic monitoring review process.

Job Responsibilities:

• Create unique computer vision algorithms for object detection and semantic segmentation
• Ensure multiple-object tracking in applications for sustainability
• Create and carry out experiments
• Offer solutions for issues in the existing algorithm
• Write scientific articles and technical reports regarding the techniques
• Contribute efforts to preserving some of the most significant ecosystems in the world to promote a more sustainable future

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 4+ years of relevant experience in modern computer vision research 
• 4+ years of experience in Python experience
• 3+ years experience in PyTorch and/or Tensorflow
• Familiarity with object detection, multiple-object tracking, and image classification
• Ability to extend algorithms for the tasks
• A track record of executing machine learning projects from start to finish and presenting results
• Knowledge of production deployment of Machine Learning algorithms, including MLOps and cloud-based and edge-based solutions, is a plus
• Grant writing experience is a plus
• Publications in relevant venues (CVPR, ECCV, etc.) or demonstrated deployment of impactful real-world Computer Vision applications are nice to have
• Knowledge of AWS is a plus
• Excellent written and verbal English communication skills