Vancouver, Bc Data scientist, private brand analytics Jobs – 103 Openings This Week

Machine Learning Engineer
ORGN Technologies —Richmond, BC
- $95,000–$135,000 a year
- Full-time
- Hybrid work
- Bachelor's
- Machine learning
- APIs
- Life insurance
Quick apply
9d
Computer Vision and Machine Learning Researcher
Angstrom Vision —North Vancouver, BC
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Paid time off
- Paid sick leave
Machine Learning Software Engineer II
Royal Bank of Canada —Vancouver, BC
- Full-time
- Computer Science
- DevOps
- Engineering
Data Analyst
BA Blacktop Ltd. —Vancouver, BC
- $65,000–$85,000 a year
- Full-time
- Computer Science
- SQL
- Analysis skills
- Employee assistance program
Data & GIS Operations Analyst (Surrey Fire Service)
City of Surrey —Surrey, BC
- $96,214–$113,193 a year
- Part-time
- Computer Science
- Engineering
- Bachelor's
2d
Senior Manager / Manager, Data Science
Vancouver City Savings Credit Union —Vancouver, BC
- $141,100–$174,300 a year
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Designated paid holidays
- Dental care
Director, Talent Acquisition
Vancouver City Savings Credit Union —Vancouver, BC
- $141,900–$166,900 a year
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Designated paid holidays
- Dental care
Machine Learning Engineer - Sports Technology
Electronic Arts —Vancouver, BC
- $122,300–$170,700 a year
- Full-time
- Computer Science
- Bachelor's
- Machine learning
- Disability insurance
- Dental care
9d
Machine Learning and Quantum Information Systems Specialist
TRIUMF —Vancouver, BC
- $111.78 a year
- Full-time
- Computer science
- Doctoral degree
- Computer Science
- Dental care
- Employee assistance program
AI Software Engineer
TrustFlight —Vancouver, BC
- $110,000–$160,000 a year
- Full-time
- Computer Science
- CAD
- Engineering
- Dental care
- Paid time off
Quick apply
Senior Data Engineer, Ingestion Framework - Data & AI Platform
Rivian and Volkswagen Group Technologies —Vancouver, BC
- $96,000–$128,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's
Senior Operations Data Analyst (Hybrid)
Kardium Inc. —Burnaby, BC
- $90,000–$125,000 a year
- Hybrid work
- Microsoft Excel
- Engineering
- ERP systems
- Dental care
Quick apply
AI Application QA Specialist
Fortinet —Burnaby, BC
- $85,000–$115,000 a year
- Full-time
- Microsoft Excel
- Computer Science
- Engineering
- Disability insurance
- Dental care
Development Manager – AI/ML Solutions
Fortinet —Burnaby, BC
- $110,000–$150,000 a year
- Full-time
- Computer Science
- Data analysis skills
- Java
- Disability insurance
- Dental care
Software Development Engineer (Full Stack) - Evisort AI
Workday —Vancouver, BC
- $112,000–$168,000 a year
- Full-time
- DevOps
- Java
- AWS
Director, AI Consulting Delivery
ProCogia —Vancouver, BC
- Sales
- Bachelor's
- Machine learning
Quick apply
13d
Principal Credit Analytics
Upstart —Vancouver, BC
- $182,300–$252,500 a year
- Remote
- SQL
- Analysis skills
- Travel
- Employee stock purchase plan
- Designated paid holidays
Machine Learning Software Engineer
Royal Bank of Canada —Vancouver, BC
- Full-time
- DevOps
- Research
- Machine learning
AI Enablement Engineer
Electronic Arts —Vancouver, BC
- $122,300–$178,400 a year
- Full-time
- Azure
- AWS
- JavaScript
- Designated paid holidays
- Disability insurance
Staff Machine Learning Research Developer
D-Wave Quantum Inc. —Burnaby, BC
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- C++
Quick apply

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data scientist, private brand analytics jobs near vancouver, bc

Machine Learning Engineer

ORGN Technologies
Richmond, BC

Quick apply

Job details

Permanent | Full-time
$95,000–$135,000 a year
9 days ago

Qualifications

TensorFlow
Node.js
Law
PyTorch
E-commerce
Pandas
Bachelor's
Machine learning
OpenCV
APIs
Metadata
AI
Model evaluation
Python

Full job description

Machine Learning Engineer

Orgn Technologies is building infrastructure for the physical collectibles market, starting with high-value trading cards, sports cards, comics, and related collector assets. Our goal is to create a trusted platform where collectors can discover, verify, manage, and safely trade physical collectibles online.

We are an early-stage, funded, and building toward our MVP. The engineering team is small, hands-on, and focused on shipping reliable systems from first principles. We are looking for a Machine Learning Engineer with strong experience in computer vision, vision-language models, and multimodal AI. This role will focus mainly on building the vision pipeline that helps our platform understand collectible images, identify item attributes, compare visual similarity, detect quality issues, and support trust and verification workflows.

This is a practical engineering role. You will work closely with product and engineering to turn ambiguous visual recognition and marketplace trust problems into useful ML-powered product features.

Location: Richmond, BC

Work Model: On-site/hybrid. The initial phase is expected to be mostly in office for fast team building and product execution, with hybrid flexibility as the team scales.

Employment Type: Full-time, permanent

Pay: CA$95,000.00-CA$135,000.00 per year + Stock Options

What You’ll Do

Design, prototype, and improve computer vision and vision-language model systems for collectible item understanding
Build ML workflows for image quality checks, item recognition, visual matching, attribute extraction, and anomaly detection
Work with image and text data, including collectible photos, item titles, descriptions, metadata, and human review feedback
Use VLMs and multimodal models to support visual reasoning, classification, similarity, and item intelligence features
Create evaluation pipelines for model quality, confidence scoring, edge cases, false positives, false negatives, and human review workflows
Help define which parts of the vision pipeline should be automated, assisted by AI, or reviewed by humans
Collaborate with product and engineering teammates to integrate model outputs into user-facing marketplace features
Document assumptions, model limitations, risks, and technical tradeoffs clearly

What We’re Looking For

Experience building ML or AI systems that solve real product, research, or operational problems
Strong experience with computer vision, vision-language models, or multimodal machine learning
Hands-on experience with image modelling tasks such as classification, detection, segmentation, OCR, image similarity, embeddings, or visual retrieval
Strong Python skills and familiarity with ML libraries such as PyTorch, TensorFlow, scikit-learn, OpenCV, pandas, or similar
Ability to evaluate model performance beyond simple accuracy, including edge cases, error analysis, confidence thresholds, and production failure modes
Comfort working with messy real-world visual data, imperfect labels, and evolving product requirements
Clear communication, pragmatic technical judgment, and the ability to explain model tradeoffs to technical and non-technical teammates
Comfort operating in an early-stage startup where ownership is high and requirements are still evolving

Nice to Have

Experience with VLMs, CLIP-style models, multimodal embeddings, visual question answering, image-text retrieval, or LLM-assisted vision workflows
Experience building image pipelines for marketplaces, ecommerce, authentication, trust and safety, fraud detection, logistics, fintech, or high-value asset platforms
Familiarity with model evaluation tooling, annotation workflows, active learning, or human-in-the-loop review systems
Experience with MLOps tools such as MLflow, Weights & Biases, Airflow, or similar
Interest in trading cards, sports cards, TCGs, comics, or collector communities

How to Apply

Please apply with your resume and links to relevant projects, technical writing, GitHub, portfolio work, or examples of shipped ML systems.

Do not include passwords, API keys, government ID numbers, banking details, SIN, copies of permits, or other sensitive credentials in your application. Any legally required onboarding documents will only be requested after the appropriate hiring stage through secure channels.

Orgn Technologies Inc. is an equal opportunity employer. We evaluate candidates based on relevant skills, experience, judgment, and ability to contribute to the role.

Benefits:

Life insurance
On-site gym
Stock options

Orgn Technologies Inc. is an equal opportunity employer. We evaluate candidates based on relevant skills, experience, judgment, and ability to contribute to the role.

Pay: $95,000.00-$135,000.00 per year

Benefits:

Casual dress
Life insurance
On-site gym
Stock options

Ability to commute/relocate:

Richmond, BC: reliably commute or plan to relocate before starting work (preferred)

Education:

Bachelor's Degree (preferred)

Experience:

Machine learning: 3 years (preferred)

Location:

Richmond, BC (preferred)

Work Location: Hybrid remote in Richmond, BC

Quick apply

Refine Your Search

data scientist, private brand analytics jobs in vancouver, bc

Machine Learning Engineer

Computer Vision and Machine Learning Researcher

Machine Learning Software Engineer II

Data Analyst

Data & GIS Operations Analyst (Surrey Fire Service)

Senior Manager / Manager, Data Science

Director, Talent Acquisition

Machine Learning Engineer - Sports Technology

Machine Learning and Quantum Information Systems Specialist

AI Software Engineer

Senior Data Engineer, Ingestion Framework - Data & AI Platform

Senior Operations Data Analyst (Hybrid)

AI Application QA Specialist

Development Manager – AI/ML Solutions

Software Development Engineer (Full Stack) - Evisort AI

Director, AI Consulting Delivery

Principal Credit Analytics

Machine Learning Software Engineer

AI Enablement Engineer

Staff Machine Learning Research Developer

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