Machine Learning Scientist

Koch; North Vancouver; On-site; CAD 137,005 - 205,507; Full time

Benefits offered by this job

Fully equipped gym

Squash court

Steam room

Climbing wall

Job summary

Koch is looking for a Machine Learning Scientist to join their Imaging & AI team in North Vancouver, BC. This role involves researching and prototyping deep learning architectures to tackle complex computer vision challenges in industrial settings. Required qualifications include a Master’s degree and 3+ years in deep learning development. The salary range for this position is between $100,000 and $150,000 per year, along with potential bonuses. The workplace offers extensive amenities for employee wellbeing.

Qualifications

• 3+ years of experience in developing or researching deep learning models.
• Ability to design experiments and interpret complex results.
• Experience processing medical or industrial ultrasound images preferred.

Responsibilities

• Research and develop state-of-the-art deep learning architectures.
• Rapidly prototype and validate new model concepts using Python.
• Work closely with Data Analysts to explore and organize datasets.

Skills

Deep learning model development

Python proficiency

Experience with deep learning frameworks (e.g., PyTorch, JAX)

Education

Master’s degree in Computer Science, Electrical Engineering, or related field

PhD preferred

Tools

MLFlow

Amazon SageMaker

GCP Vertex AI

Job description

DarkVision is seeking a Machine Learning Scientist to join our Imaging & AI team. You will research, design, and prototype the deep learning architectures that power our automated analysis tools. You will solve complex computer vision challenges to enable interpretation of industrial data at scale.

DarkVision’s ultrasound imaging system collects huge datasets on the order of terabytes, detecting sub‑millimetric defects in industrial assets that span hundreds of kilometers. It is essential that we develop algorithms for the automated processing, classification, and visualization of this data. As a Machine Learning Scientist, you will focus on the mathematical and architectural challenges of interpreting this data, and creating models that learn efficient and generalizable representations for real‑world industrial applications.

This role is on‑site at our North Vancouver, BC HQ, where employees enjoy a wide array of amenities including a fully equipped gym, squash court, steam room, climbing wall, and more.

Our Team

Working in the Imaging & AI team, you will join a multidisciplinary group of scientists and engineers. This team is responsible for early‑stage ideation, research, experimentation, and development. You will collaborate closely with other technical members to ensure our models are integrated seamlessly into our products.

What You Will Do

• Applied Research & Architecture Design: Research and develop state‑of‑the‑art deep learning architectures to solve large‑scale industrial problems. You will target tasks such as object detection, instance segmentation, semantic segmentation, and anomaly detection.
• Model Prototyping: Rapidly prototype and validate new model concepts using Python and deep learning frameworks. You will own the experimental phase, ensuring models are statistically valid and effective before collaboration with engineering.
• Data Strategy: Work closely with Data Analysts and Data Scientists to explore and organize datasets. You will define the data extraction and preprocessing strategies required to train robust models.
• Performance Optimization: Continuously monitor model success metrics and research improvements to increase model robustness and accuracy on challenging, real‑world data.
• Documentation & Knowledge Transfer: Document model architectures, training details, and dataset procedures to ensure reproducibility, and facilitate smooth integration by the engineering team.

Who You Are (Basic Qualifications)

• Master’s degree in Computer Science, Electrical Engineering, or a related field; PhD preferred
• 3+ years of experience developing or researching deep learning models
• Proficiency in Python and deep learning frameworks such as PyTorch, JAX, etc.
• Ability to design experiments and interpret complex results

What Will Put You Ahead

• Experience processing medical or industrial ultrasound images
• Publications in top‑tier computer vision venues (e.g., CVPR, ICCV)
• Experience with self‑supervised or unsupervised learning methodologies
• Hands‑on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GCP Vertex AI, etc.
• Hands‑on experience with orchestration tools like Kubeflow, Prefect, Airflow, etc.
• Experience leading or mentoring other scientists or researchers
• Ability to work in a fast‑paced, self‑driven environment
• Excellent communication skills to present research findings and write technical reports

General Salary Range

For this role, we anticipate paying $100,000 to $150,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

Equal Opportunity Employer

We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.