Operating on the ocean around the world from Victoria BC, Open Ocean Robotics is a rapidly growing start-up transforming how we understand our oceans through better data. We are leaders in solar-powered autonomous boats, also called Uncrewed Surface Vehicles (USVs), that voyage across a wide variety of challenging ocean environments.

We're driven by a pioneering spirit to push boundaries and make the seemingly impossible possible. Together, we can achieve that goal, growing our team of highly skilled people and offering you the opportunity to tackle big challenges with solutions that make a difference.

Are you passionate about the oceans, data collection and data sciences such as machine learning, computer vision and audio analysis? Are you interested in advancing autonomous navigation and more intelligent edge computing, then we want to hear from you!

The successful candidate will work closely with our lead data scientist to build detection and manipulation algorithms and aid with machine learning training across images, video, audio and raw data sources.

We are an equal opportunity employer and are committed to a diverse and inclusive workforce. We encourage applicants who reflect diversity in thinking and background as we continue to develop our culture of inclusiveness for all.

Co-Op/Intern Data Scientist Wanted

We are looking for a Co-op/Intern Data Scientist to join our team for a 12-month co-op/internship opportunity during the fall and winter. The ideal candidate will have a strong enthusiasm for data science and machine learning, as well as a passion for the ocean and robotics.

As a member of the data science team, you will help take guidance from the lead data scientist to grow and maintain data science technology at Open Ocean Robotics. From training models for vessel detection and identification to using audio to detect marine mammals or human activity to understanding trends in oceanographic data (e.g. water temperatures and currents) and detecting anomalies, this position will participate many different forms of edge computing. This position will help improve current models, to solve some of our more challenging problems in the areas of computer vision, underwater acoustics, and ocean science.

This role will use data science best practices to develop models and implement data processing pipelines. This includes cleaning and annotating data, training and evaluating the performance of models, and deploying the models on edge devices.

Any experience with unmanned systems such as UAV, USV or other autonomous vehicles would be considered a bonus for your application.

This is a position based in Victoria, BC. It is not a remote position. Open Ocean Robotics does not sponsor work visas.

Requirements

Core responsibilities

• Help develop, operationalize, and refine a high quality, robust machine learning solutions to meet the use cases of key functional areas; e.g.

• Computer Vision - detection, tracking, classification

• Acoustics - detection and classification of marine mammals, marine vessels and other equipment

• Ocean / Operational Data - anomaly detection, streaming analytics, predictive analytics

• Participate in the development and enhancement of existing training sets and models

• Liaise with stakeholders to define use cases and deliver innovative solutions in order to help meet business and operational objectives

Skills & Qualifications

• Knowledge of machine learning and deep learning tools and concepts

• Experience using one or more statistical programming languages (e.g., Python, R) to work with data sets

• Experience working with image / video processing in real world applications

• Good verbal and written communication skills.

• Positive attitude, reliable, self-motivated, team player with excellent communication skills.

• Knowledge of C/Rust is a plus

Assets of Interest

• Background and understanding of unmanned systems such as UAV, USV or other autonomous vehicles.

• Experience with digital signal processing and/or audio processing

• Use of and understanding of AWS services that pertain to Machine Learning