Machine Learning Engineer – Computer Vision and Sensor Fusion

Are you ready to push the boundaries of technology in some of the world’s harshest environments? The ABS Harsh Environment Technology Center (HETC) is seeking a full-time Machine Learning Engineer to join our innovative team. You’ll play a pivotal role in developing computer vision approaches and advancing sensor fusion capabilities to identify hazards in challenging marine environments.

Your work will directly enhance the safety and efficiency of maritime operations, ensuring vessels can navigate harsh conditions with confidence.

As part of the HETC team, you’ll contribute to groundbreaking projects. Such as one aimed at detecting, identifying, and tracking ice floes. By processing sensor data through advanced algorithms, you’ll help estimate ice loads and provide critical information to ship navigators for safer operations in ice-covered waters.

What You Will Do:

• Work together with a high-performing team of Naval Architects and Ice Mechanics experts.
• Developing and implementing computer vision models for image segmentation and classification.
• Designing sensor fusion systems that integrate data from cameras, Lidar, Radar, and other sensor types.
• Collaborating with cross-functional teams, including software developers, data scientists, and domain experts.
• Creating user-friendly dashboards and interfaces for real-time feedback and visualization.
• Occasionally assisting other ABS offices globally on similar projects.

What You Will Need:

• This position is full time and on-site in the HETC office in St. John’s, NL. Canada

Education and Experience

• Required: Bachelor’s degree in computer science (focus on data science with a specialization in computer vision preferred) or a comparable engineering or data science degree.
• Preferred: Master’s degree or higher in computer science or engineering. Experience in the marine industry is a plus.

Knowledge, Skills, and Abilities

Technical Skills:

• Programming Languages: Python, Matlab, C++.
• Frameworks: TensorFlow, PyTorch, OpenCV, or similar.
• Tools: Qt, specialized AI certifications (e.g., Google AI, AWS Machine Learning).
• Other Skills: Experience with sensor fusion, anomaly detection, and deploying machine learning models.

Specialized Knowledge:

• Proven expertise in designing, implementing, and deploying machine learning models.
• Expertise in cameras, lenses, optics, lighting, and other image capture technologies.
• Knowledge of Lidar, Radar, and IR data processing.
• Understanding of marine industry operations.
• Basic knowledge of life in icy and cold environments (e.g., 3+ winters in Canada or similar locations).

We set out more than 160 years ago to promote the security of life and property at sea and preserve the natural environment. Today, we remain true to our mission and continue to support organizations facing a rapidly evolving seascape of challenging regulations and new technologies. Through it all, we are anchored by a vision and mission that help our clients find clarity in uncertain times.

ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We’re at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting-edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever-present, guiding our clients to safer and more efficient operations.

Equal Opportunity

ABS Bureau is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.

Notice

ABS and Affiliated Companies (ABS) will not pay a fee to any third-party agency without a valid ABS Master Service Agreement (MSA) authorized and signed by Human Resources. Any resume, CV, application, or other forms of candidate submission provided to any employee of ABS without a valid MSA on file will be considered property of ABS, and no fee will be paid.

Other

This job description is not intended, and should not be construed, to be an all-inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job. #ogjs