Machine Learning/ai Specialist

4 weeks ago

Victoria, Canada OCEAN NETWORKS CANADA (ONC) Full time

**Ocean Networks Canada**

Title: Machine Learning/AI Specialist - Ocean Sciences, GF

Department: Data Analytics

Reports to: Data Analytics & Quality Manager

Term dates: June 1, 2024 -May 31, 2026

**Salary**: $91,000 plus 6% vacation pay, prorated for the partial year, with a 35-hour work week

**Position Summary**

Ocean Networks Canada (ONC) is a world-leading organization supporting ocean discovery and technological innovation for science, society, and industry.

ONC is a not-for-profit society that operates and manages innovative cabled observatories on behalf of the University of Victoria that supply continuous power and Internet connectivity to various scientific instruments located in coastal, deep-ocean, and Arctic environments. ONC’s cable arrays host thousands of sensors distributed in, on and above the seabed along with mobile and land-based assets strategically located, instruments that address key scientific and policy issues (subsea earthquakes and tsunamis, ocean acidification, marine biodiversity, etc.) within a wide range of environments.

ONC is a Major Science Initiative funded by the Canada Foundation for Innovation (CFI) and is governed as a not-for-profit society that operates world-class innovative cabled observatories on behalf of the University of Victoria.

The Machine Learning/AI position must understand the technical language associated with AI and machine learning and have the ability to learn about new technologies as they emerge. The Machine Learning/AI specialist keeps abreast of new industry trends and determines how best to integrate external tools and knowledge to achieve desired results. Solutions are sometimes not guided by procedures, policies, and precedents. Investigation is required to modify methods and procedures and identify gaps that need to be filled with new software, protocols, or standards. The Machine Learning/AI position will have excellent creative problem-solving skills and use strong strategic thinking to help stakeholders understand ocean AI work in Canada.

The associate should have a high degree of programming skills with proficiency in Python and MATLAB, High Performance Computing (HPC) environments and shell scripting, and Version control systems, especially git.

This position will need to work cooperatively with other Data Analytics and Quality staff and co-op students.

It is expected that the staff member will have a large degree of independence in managing their own time in the day to day setting as long as they continue to show progress towards project goals and grant deliverables. The staff member will have regular check-ins with the Supervisor.

**Key Responsibilities**

1. State of AI in Ocean Sciences Summary:

- Compile and present a detailed summary report highlighting key findings, emerging trends, and potential areas for further exploration.

2. Hydrophone Anomaly and Feature Detection Model:

- Define and document requirements for the hydrophone anomaly and feature detection model, in collaboration with domain experts and stakeholders.
- Identify and curate appropriate training datasets for model development, ensuring relevance to and representativeness of real-world scenarios.
- Develop a comprehensive test plan to evaluate the performance and effectiveness of the model across various conditions and scenarios.
- Design, develop, and implement the machine learning/AI model for detecting anomalies and features in hydrophone data collected from ocean environments, utilizing Python and MATLAB.
- Utilize state-of-the-art algorithms and techniques to optimize model performance and accuracy, while adhering to defined requirements and constraints.
- Collaborate with domain experts to validate the model outputs and refine its functionality based on feedback and evaluation results.

3. National Workshop Organization:

- Facilitate engaging discussions, presentations, and networking opportunities during the workshop to encourage collaboration and knowledge sharing among participants.
- Coordinate logistics and administrative tasks related to the workshop, such as scheduling, participant communication, and session coordination.

**Summary of Qualifications**

**Experience requirements**:

- Strong programming skills including:

- Python and MATLAB, along with experience using relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- High Performance Computing (HPC) environments and shell scripting. Familiarity and demonstrated work with Digital Research Alliance assets are a plus.
- Version control systems, especially git.
- Strong understanding of ocean science principles, instrument and data types, and research methodologies.
- Excellent communication and collaboration skills, with the ability to effectively engage with interdisciplinary teams and stakeholders.
- Demonstrated project management abilities, including organization, planning, and execution of complex initiatives.
- Experience in organizing workshops, con

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