Full-time jobs in Coquitlam, British Columbia

Find full-time jobs in Coquitlam, British Columbia and nearby towns within 25 km. Read the full details and apply.

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Within 25 km of Coquitlam

Added 3 hours ago
BH
Manager, Safety Training & Learning Design
BC Hydro
Surrey, BC
- $131,100 to $165,800 CAD / year
Added 3 hours ago
Payroll Specialist
Enkel
Vancouver, BC
Added 3 hours ago
Sr. Engineer - Dam Safety Surveillance
BC Hydro
Burnaby, BC
Added 3 hours ago
Sr. Human Resources Business Partner
TK Elevator
Burnaby, BC
Added 3 hours ago
Senior Product Specialist - Personal Lines
Wawanesa Insurance
Vancouver, BC
Added 3 hours ago
Group Advantage Relationship Manager Intern
RBC
Vancouver, BC
Added 3 hours ago
AC
FP&A Analyst
Atlas Corp.
Vancouver, BC
- $82,000 to $95,000 CAD / year
Added 3 hours ago
Conservation & Energy Management Program Specialist
FortisBC
Surrey, BC
Added 3 hours ago
Member Advice Specialist - Walnut Grove Branch
Coast Capital Savings
Langley (District), BC
Added 3 hours ago
Indigenous Recreation Programmer I
City of Vancouver
Vancouver, BC
Added 3 hours ago
Senior Payroll Clerk VI
Seaspan
North Vancouver, BC
Added 3 hours ago
Intern, Project Coordinator (8 Months)
Seaspan
North Vancouver, BC
Added 3 hours ago
District Manager CAN
Indochino
Vancouver, BC
Added 3 hours ago
Shift Scheduling Specialist - 1 Year Term (Vancouver or Edmonton)
NAV CANADA
Vancouver, BC
Added 3 hours ago
Technical Interface Designer II - EA SPORTS FC
Electronic Arts
Vancouver, BC
Added 3 hours ago
Associate Development Manager - FC
Electronic Arts
Vancouver, BC
Added 3 hours ago
Associate Quality Designer - EA SPORTS FC
Electronic Arts
Vancouver, BC
Added 3 hours ago
Marketing Specialist
Goldbeck Recruiting
Surrey, BC
Added 3 hours ago
Junior Lumber Trader
Riverside Forest Products Inc.
Surrey, BC
Added 3 hours ago
AI/ML Engineer
TEEMA
Vancouver, BC
Added 3 hours ago
VN
Chief Commercial Officer
Victoria Newitt Recruitment Inc.
Vancouver, BC
- $300,000 to $350,000 CAD / year
Added 3 hours ago
Bulk - Clerk Bulk
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Surrey, BC
Added 3 hours ago
Produce - Supervisor Produce TF
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Surrey, BC
Added 3 hours ago
C&
Light Duty Cleaner - 1st Shift
Cushman & Wakefield
Vancouver, BC
- $18.25 to $20.26 CAD / hour
Added 3 hours ago
L
Business Continuity & Operational Resilience Lead (Hybrid, Toronto, ON or Burnaby, BC)
LifeLabs
Burnaby, BC
- $112,565 to $143,520 CAD / year

TEEMA

AI/ML Engineer

Vancouver, BC, Canada

Salary: $110K – $120K · Full-time

Within 25 km of Coquitlam · About 24.4 km from the city centre

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Job details

Pay: Salary: $110K – $120K
Job type: Full-time
Apply by: Dec 4, 2026
Experience: Note: Candidates need experience in the biomedical domain, and at least 6 years of work experience
Posted: Nov 4, 2026

Original job description

Applied AI/ML Scientist - Interviews are onsite in Vancouver

Location: Onsite

Salary: $110K – $120K

Location: This is onsite 5 days a week in downtown Vancouver.

Note: Candidates need experience in the biomedical domain, and at least 6 years of work experience

About the Role

We’re looking for an Applied AI/ML Scientist to help design, validate, and operationalize Mimik’s health agents. This role sits at the intersection of research and product engineering, with a strong focus on experimentation, multimodal modeling, personalization, evaluation, and real-world deployment. You will work on models that turn physiological and behavioral data into safe, structured outputs that power Mimik’s member experience.

Key Responsibilities

Model Design: Design and evaluate models for Mimik’s on-device health agents across wearable, CGM, EHR, lab, and behavioral data.
Translation: Translate emerging research into practical implementations for personalized health inference under mobile and edge constraints.
Architecture: Define feature pipelines, training data strategy, personalization logic, and structured output schemas for agent outputs.
Evaluation: Build experiments and evaluation frameworks for accuracy, safety, calibration, and member-level usefulness.
Engineering Collaboration: Work closely with product and engineering to move promising models into production mobile workflows, including on-device inference and privacy-preserving deployment.
Domain Focus: Contribute to model and dataset selection for key domains such as sleep, stress, and metabolic health.

Requirements

Experience: Strong applied ML / data science experience in time-series, multimodal, or physiological data.
Frameworks: Experience designing experiments, evaluation frameworks, and model quality metrics.
Technology: Experience with agentic LLM systems.
Mindset: Ability to work across research and engineering, not just modeling in isolation.

Nice to Have

Experience with on-device / edge ML, quantization, or mobile deployment.
Familiarity with wearable, CGM, EHR, or lab data.
Experience integrating model outputs into product systems built on JavaScript / TypeScript platforms.

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More about this job

Responsibilities

Design, evaluate, and operationalize personalized health models using wearable, CGM, EHR, laboratory, and behavioral data, with attention to safety, accuracy, and usefulness. Develop model architectures and evaluation frameworks, and collaborate with product and engineering teams to deploy models in privacy-preserving mobile and edge workflows.

Requirements

Requires at least six years of work experience, including biomedical-domain experience and strong applied machine learning or data science experience with time-series, multimodal, or physiological data. Candidates should have experience designing experiments and evaluation frameworks, working with agentic LLM systems, and collaborating across research and engineering.

Skills

Applied Machine Learning
Data Science
Time-Series Modeling
Multimodal Modeling
Physiological Data Analysis
Experiment Design
Model Evaluation
Agentic LLM Systems
Personalization
Feature Pipelines
Training Data Strategy
Model Calibration
On-Device Inference
Edge Machine Learning
Quantization
Mobile Deployment

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Machine Learning
Biomedical
Health Agents
Wearable Data
Continuous Glucose Monitoring
Electronic Health Records
Laboratory Data
Behavioral Data
Time-Series Data
Multimodal Modeling
Physiological Data
Personalized Health Inference
Agentic LLM Systems
Feature Pipelines
Training Data Strategy
Structured Output Schemas
Model Evaluation
Accuracy
Safety
Calibration
Member-Level Usefulness
On-Device Inference
Privacy-Preserving Deployment
Edge Machine Learning
Quantization
Mobile Deployment
JavaScript
TypeScript
Sleep

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