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Office Coordinator
BMT
Victoria, BC
- $45,000 to $47,000 CAD / year
- Part-time
…technology support, vendor relationships, company initiatives, and workplace events. The role contributes to operational excellence through proactive problem-solving, process improvement,…
Added 5 mins ago
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Sales Director
Gordian
Canada
- Full-time
Engage in ongoing professional development to enhance job performance and personal growth.
Added 5 mins ago
MI
Project Accountant
Matrix360 Inc.
Toronto, ON
- $75,000 to $100,000 CAD / year
- Full-time
…including recruiting talent, educating and delivering tools for professional development, and guiding organizations on how to build better through equitable and inclusive workplace…
Added 5 mins ago
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Water/Wastewater Engineer
AECOM
Burnaby, BC
- $90,000 to $130,000 CAD / year
- Full-time
Engage in professional development and industry involvement while advancing technical leadership and innovation.
Added 6 mins ago
Senior Regulatory Field Advisor
Trans Mountain
Calgary, AB
Commitment to inclusive practices and a willingness to contribute positively to a collaborative and supportive workplace culture.
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TG
Barber / Stylist
Tommy Gun's Original Barbershop
Calgary, AB
- Full-time
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TG
Barber / Stylist
Tommy Gun's Original Barbershop
Calgary, AB
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Nurse 3 - Crisis Stabilization Unit - Repost
Winnipeg Regional Health Authority
Winnipeg, MB
Active participation in professional associations e.g. Association of Registered Nurses of Manitoba (ARNM) preferred.
Added 6 mins ago
SHIFT LEADER
City of Toronto
Toronto, ON
…and supported, will contribute greatly to ensuring positive workplace mental health. You will also play a role in supporting staff after serious occurrences, raising awareness about…
Added 21 mins ago
Solution Architect
PCL Construction
Edmonton, AB
Access to world-class training through PCL's College of Construction and professional development courses
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Actuarial Analyst I - Project Development & Optimization
TD
Toronto, ON
- Full-time
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your ful
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Bodily Injury Claims Advisor
TD
Calgary, AB · Burlington, ON
- Full-time
…and dynamic work environment where talent is appreciated, and professional development is taken seriously. More than just a job, we offer rewarding…
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RS
Warehouse Associate, Full-Time
Refrigerative Supply Limited
Regina, SK
- Full-time
At RSL, we pride ourselves on fostering a dynamic and inclusive workplace culture. Our commitment to excellence and employee satisfaction has been recognized with the prestigious “Great…
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Team Manager, Bodily Injury
TD
Burlington, ON · Markham, ON
- Full-time
Demonstrated letter-writing skills that are clear, professional, and convey appropriate types and amounts of information
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Cyber Incident Response Commander (Contract)
Sopra Steria
Montreal, QC
- Full-time
Excellent written and verbal communication in English in a professional context, with strong analysis and synthesis skills
Added 21 mins ago
UH
Senior Manager, UHN West Park Assessment Centre
University Health Network
Toronto, ON
- Full-time
…services to third party payors and individuals, including the Workplace Safety and Insurance Board (WSIB), employers, auto insurers and health & life…
Added 21 mins ago
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Senior Relationship Manager Agriculture, Commercial Financial Services
Royal Bank of Canada
Steinbach, MB · MB · PEMBINA, Manitoba
- Full-time
…what sets you apart from the crowd. This role is all about professional relationship management and delivering top-tier financial advice in an end-to-end industry, whose specialized…
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Process Engineer
''
Florenceville-Bristol, NB
- Full-time
Ensure compliance with food safety, quality, workplace safety, environmental, HACCP, and regulatory requirements while promoting a culture of continuous improvement.
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Proposal Supervisor
AECOM
Mississauga, ON
- $98,000 to $125,000 CAD / year
- Full-time
Added 21 mins ago
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Civil / Environmental Engineer
AECOM
Burnaby, BC
- $75,000 to $105,000 CAD / year
- Full-time
…candidate has a can-do attitude, is enthusiastic, team-oriented professional, with a strong technical background that is up for the challenge of working on these fascinating…
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Senior Vice President, Energy
AECOM
Ottawa, ON · Markham, Ontario
- $300,000 to $350,000 CAD / year
- Full-time
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Chef Manager (B&I food services)
Dexterra
Mississauga, ON
- $65,000 to $75,000 CAD / year
- Full-time
Create a positive, accountable and customer-focused workplace culture.
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Senior Project Manager – Operational Systems & Digital Solutions
CIMA+
Mississauga, ON · Toronto, Ontario
- $125,440 to $172,440 CAD / year
- Full-time
We are specifically looking for a senior professional with experience in technology systems and digital solutions that directly support physical operations, infrastructure and operational…
Added 21 mins ago
Senior Project Manager - Wastewater Treatment Services
CDM Smith
Burnaby, BC
· Professional and Industry Engagement: Represent CDM Smith through participation in relevant professional societies and industry activities, strengthening technical networks, market…
Added 36 mins ago
BS
Junior Project Operations Manager
BVGlazing Systems
Niagara Falls, ON
- $50,000 to $80,000 CAD / year
- Full-time
Foster the professional growth and development of our team members.

Redlen Technologies Inc.

Applied Machine Learning Developer

Saanichton, BC, Canada

Salary Range: $100,000 - $125,000 CAD

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Job details

Pay: Salary Range: $100,000 - $125,000 CAD
Posting language: English
Posted: Nov 3, 2026

Original job description

Why Redlen Technologies?

Redlen Technologies is a pioneering company that has revolutionized the semiconductor crystal growth and fabrication process.

At Redlen Technologies, innovation is at the heart of everything we do. Our founder's visionary work with the Canadian Space Agency laid the foundation for our groundbreaking Cadmium Zinc Telluride (CZT) sensors, revolutionizing medical imaging, security imaging, and non-destructive testing. We are driving a quantum leap forward in medical CT scanners, elevating diagnostic accuracy while reducing radiation dose– a technological feat that has earned us global recognition. With a commitment to excellence, we have earned the trust of Fortune 500 industry customers, leading to our acquisition by Canon Inc. for $430M– a testament to our industry leadership.

With over 200 dedicated professionals, we take pride in fostering a work environment where Science, Technology, Engineering, and Math (STEM) professionals thrive. As an equal opportunity employer we demonstrate that diversity drives innovation, and we are passionate about building a future where every employee contributes to our mission-driven success. Redlen's teams, mirroring the multifaceted diversity of Canadian society, exemplify our commitment to leveraging a wide range of ideas and backgrounds as a driving force for innovation, business excellence, and pioneering advancements in STEM.

Product Performance

Redlen’s Product Performance team is dedicated to ensuring our detector modules meet the highest standards of reliability, performance, and application suitability. The team plays a critical role in connecting detector design and manufacturing to real-world imaging outcomes by driving initiatives in reliability, image quality optimization, verification, validation & test (VV&T), and data-driven performance analysis. Leveraging advanced data science techniques, robust testing protocols, and cross-functional collaboration, Product Performance ensures that every detector we deliver supports world-class photon-counting CT imaging and exceeds customer expectations.

Data Science

The Data Science team builds the models, pipelines, and tools required to convert high-throughput detector data into actionable insight. By enabling scalable analysis of reliability, production, and in-field data, they support failure mode identification, performance characterization, and system optimization. They operate as a connective layer across Product Performance, Reliability, and Image Quality, ensuring decisions are grounded in quantitative evidence.

About the Role

The Applied Machine Learning Developer develops machine learning, computer vision, and advanced analytical solutions for complex scientific, product-performance, reliability, sensor, and manufacturing data. The role works with multidisciplinary teams to translate technical problems into robust analytical solutions that improve defect detection, product characterization, process understanding, and data-driven decision-making.

Responsibilities

Machine Learning & Model Development

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, and prediction using complex scientific and manufacturing datasets.
Design feature-engineering, model-selection, cross-validation, and evaluation strategies suitable for noisy, imbalanced, high-dimensional data.
Evaluate when machine learning or deep learning provides meaningful value over established statistical, signal-processing, or algorithmic approaches.

Computer Vision & Image Analysis

Develop computer-vision and image-processing algorithms for automated detection, classification, segmentation, and characterization of spatial defects and patterns.

Time-Series & Anomaly Detection

Develop methods for time-series analysis, change detection, and anomaly detection to identify abnormal or degrading sensor behavior.

ML Workflows & Software Development

Develop reproducible and scalable machine learning workflows for data preparation, feature engineering, model training, validation, and deployment across local and cloud-based environments, including AWS.
Translate successful experiments and notebooks into maintainable, reusable Python and MATLAB software and analytical tools.

Model Validation & Statistical Analysis

Quantify model uncertainty and false-positive/false-negative risk.
Communicate model assumptions, limitations, and validation results clearly.

Cross-Functional Collaboration

Collaborate with data scientists, software developers, data engineers, scientists, technologists, and domain experts to define problems and deliver practical solutions.

Other

Other duties as assigned and relevant to the role.

Qualifications

Required Experience

Approximately 5+ years developing applied machine learning solutions.
Analysis of time-series, spatial, sensor, imaging, or other high-dimensional scientific datasets.
Computer vision and image-processing applications using OpenCV, scikit-image, PyTorch, TensorFlow, or comparable tools.
SQL and structured analytical datasets within complex technical environments.

Skills

Strong proficiency in Python, including NumPy, pandas, SciPy, and scikit-learn.
Strong understanding of supervised and unsupervised learning methods, including classification, regression, clustering, and anomaly detection.
Solid statistical foundation, including cross-validation, precision and recall, class imbalance, uncertainty quantification, and data-leakage prevention.
Strong software development practices, including version control, modular design, testing, code review, and technical documentation.
Ability to translate ambiguous technical questions into well-defined analytical problems and independently develop appropriate analytical approaches.
Familiarity with AWS services such as S3, Athena, Glue, SageMaker, Lambda, and ECR/ECS is considered an asset.
Excellent verbal and written communication skills in English.

Personal Attributes

Strong analytical thinking and technical judgment.
Comfortable working with ambiguity and independently advancing complex technical problems.
Pragmatic approach to balancing scientific rigor with business and operational priorities.

Preferred Experience

Applied machine learning or advanced analytics supporting product performance, reliability, manufacturing, scientific, sensor, or other technically complex datasets.
Scientific computing, algorithm development, signal processing, image processing, simulation, or experimental-data analysis using MATLAB.
Cloud-based data processing and machine learning workflows in AWS environments.
Modern data-lake and lakehouse architectures, including Parquet-based ecosystems.
Deep learning techniques using PyTorch, TensorFlow, or equivalent frameworks.
MLOps practices including Docker, MLflow, CI/CD, model deployment, and experiment tracking.
Semiconductor, medical imaging, industrial sensing, scientific instrumentation, reliability, predictive maintenance, condition monitoring, or similar technical domains.

Education

Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or another related quantitative field.

Salary Range: $100,000 - $125,000 CAD

At Redlen, we prioritize clarity in our hiring process. The salary range posted above reflects the minimum and maximum for new hire salaries, taking into account factors such as job-related skills and expertise, relevant training and education, and business needs. It is common for ranges to span multiple levels in order to attract top talent across experience levels. It is uncommon to be hired at the top of the range; however, in exceptional cases where a candidate's skills and expertise significantly exceed the role's requirements, we may consider offering a higher salary. If you believe your skill set falls outside this range and you’re interested in exploring opportunities with Redlen, please reach out to our People & Culture Team (T.A. Specialists or Business Partners), specifying how your expertise aligns with our teams, so we can collaborate on potential opportunities. We believe in developing those that demonstrate quality performance and promise.

Total Rewards and Benefits

Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance.
RRSP retirement plan with employer match component.
Professional development opportunities.
Generous paid time off and holidays.
Vibrant and inclusive workplace culture.

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More about this job

Responsibilities

Develop and validate machine learning, computer vision, and analytical models to improve product performance, defect detection, and manufacturing processes. Collaborate with multidisciplinary teams to translate complex technical problems into scalable, data-driven solutions.

Requirements

Requires approximately 5+ years of experience in applied machine learning and analysis of high-dimensional scientific datasets. Candidates must possess strong proficiency in Python, statistical modeling, and image processing tools, along with a Master's degree in a quantitative field.

Skills

Machine learning
Computer vision
Python
NumPy
Pandas
SciPy
Scikit-learn
PyTorch
TensorFlow
SQL
Time-series analysis
Statistical analysis
Image processing
AWS
Data modeling
Anomaly detection

Benefits

Competitive salary
Performance-based bonuses
Health insurance
Dental insurance
Vision insurance
RRSP retirement plan with employer match
Professional development opportunities
Paid time off
Paid holidays

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Python
AWS
Semiconductor
Medical Imaging
Data Science
Signal Processing
Anomaly Detection
Predictive Maintenance
MATLAB
OpenCV
Scikit-learn
PyTorch
TensorFlow
SQL
Time-series Analysis
Statistical Modeling
MLOps
Docker
CI/CD
Data Engineering
Photon-counting CT
Sensor Data
Manufacturing
Reliability Engineering
Feature Engineering
Cross-validation
Uncertainty Quantification
Data Lake

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