Build the Future of Ocean Conservation

At OnDeck we’re building a better future for the world's oceans. We do this by building world-leading AI research into world-changing products. Backed by organizations such as the Environmental Defense Fund and Ocean Wise, we stand at the forefront of AI for conservation and marine resources.

Our team of exceptionally talented engineers and industry experts thrive in fast-paced, innovative environments. We are continuously pushing the boundaries of what is possible, developing cutting-edge marine conservation tools that genuinely change the course of the world's fisheries.

We are seeking standout team players who want to make a dent in the universe. If you love tackling complex challenges, and you’re keen to scale with a startup reaching new heights, apply below.

What you'll be doing

You will have ownership over mission-critical research and development, propelling us towards our goal of being the first to market at scale. In this mix of machine learning research and research engineering:

• You will be working at the forefront of artificial intelligence for ocean conservation, working towards the development of state-of-the-art machine learning models and advanced computer vision techniques.

• Your primary responsibilities will encompass researching, implementing, and optimizing these innovative models for various tasks, including object detection, species classification, and object tracking.

• You will be involved in the entire ML lifecycle, from conducting research and developing innovative models to deploying them in production environments.

Minimum qualifications

• Current Master's or Ph.D. Student in Computer Science or a related field at a registered post-graduate institution in Canada

• Experience as a machine learning researcher, including internships, full-time, or at a lab.

• Proficiency in programming and implementing machine learning workflows using Python (experience with C, C++, and JavaScript/TypeScript is an asset)

• Experience in machine learning, deep learning, computer vision, serving ML models, and optimizing model performance

• Experience in software engineering including cloud/edge development, Unix/Linux environments, distributed and parallel systems, and data engineering

• Proficiency with PyTorch, TensorFlow, and other machine learning frameworks/tools

• Strong technical communication skills in English, both written and verbal

• Available to work part-time (20hrs/week) for a minimum of 12 weeks during university term time

• Enthusiasm for building software that revolutionizes fisheries monitoring and research

Preferred qualifications

• Previous work experience designing and implementing ML models in production environments

• Experience as a computer vision researcher, including internships, full-time, or at a lab.
  
  

Join us today to leverage your skills in ML and computer vision to tackle critical challenges facing our oceans.

Job Type: Internship, Part-time