Jobs in Coquitlam, BC and nearby (42,493 jobs)

Jobs within 25 km of Coquitlam, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

42,493 listings · 7,068 employers Counted Nov 13, 2026. How we count

About these jobs

Employers hiring include Health Match BC (1,272 listings), Vancouver Coastal Health (1,043 listings), Fraser Health (943 listings).

Common roles: Registered nurse, Family physician, Retail sales associate.

10,334 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	32.00	6,162
CAD / year	82,000.00	3,458
CAD / month	5,692.25	518
CAD / week	1,475.00	14

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 19% hybrid, 81% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Coquitlam, BC and nearby

Within 25 km

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Added 6 hours ago
RM
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Top 3 Must haves:
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Applicantz

AI/ML Software Engineer-Localization Engineering

Vancouver, BC, Canada

$65 to $75 CAD / hour · Contract

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $65 to $75 CAD / hour
Job type: Contract
Apply by: Dec 13, 2026
Experience: 6+ years of software engineering experience, with significant backend or AI/ML focus
Posting language: English
Posted: Nov 13, 2026

Original job description

Hiring for a 12 Months Hybrid role in Vancouver, BC (Work in PST hours).

We are seeking a Senior Software Engineer, Localization Engineering to architect and scale the next generation of intelligent localization systems. This role combines deep expertise in AI-driven translation technologies with strong backend engineering and localization workflow knowledge.

You will lead the design of advanced localization pipelines that integrate Neural Machine Translation (NMT), Large Language Models (LLMs), Quality Estimation (QE), and Automated Post-Editing (APE) into production-ready systems. At the same time, you will serve as the technical authority for localization implementation across assigned products or content areas, ensuring quality, scalability, and automation at enterprise scale.

Working closely with Localization Program Management, product engineering teams, and external suppliers, you will build systems that enable efficient content extraction, translation, validation, and release - while advancing our AI-powered translation ecosystem.

Top 3 Must haves:

Strong proficiency in Python and experience with transformer-based models
Experience training, fine-tuning, and deploying models
Strong understanding of end-to-end localization workflows

Key Responsibilities:

AI-Powered Localization Architecture

Architect next-generation localization workflows combining NMT and LLM-based refinement using frameworks such as LangChain.
Design and implement reference-free Quality Estimation (QE) systems using COMET, BLEURT, or custom LLM evaluators to predict translation quality without reference data.
Develop and fine-tune Automated Post-Editing (APE) solutions to improve translation fluency, terminology accuracy, and stylistic consistency.
Fine-tune transformer-based models (Hugging Face) using our translation memory and glossary data to capture domain-specific voice and terminology.

Engineering & System Integration

Build scalable backend services, APIs, and microservices to support automated localization workflows.
Design integrations between product systems, TMS platforms, content repositories, and CI/CD pipelines.
Develop automation frameworks for content extraction, file processing, translation handoff, validation, and linguistic QA.
Optimize model performance, inference latency, and cloud deployment on AWS (e.g., SageMaker, Bedrock).

Data & NLP Engineering

Build Python pipelines for multilingual data curation, sentence alignment, tokenization, and fuzzy matching.
Benchmark translation performance using BLEU, chrF++, TER, COMET, and other NLP metrics.
Improve workflow efficiency and scalability through intelligent automation and system enhancements.

Technical Leadership

Serve as the technical authority for localization engineering standards and AI translation quality.
Partner with Localization Program Leads to align engineering execution with localization strategy.
Provide guidance to internal teams and suppliers on tooling, automation, and AI-enabled localization practices.
Contribute to the evolution of shared localization tools, frameworks, and technical standards.

Minimum Qualifications:

6+ years of software engineering experience, with significant backend or AI/ML focus
Strong proficiency in Python and experience with transformer-based models (Hugging Face or similar)
Experience training, fine-tuning, and deploying models using AWS (e.g., SageMaker, Bedrock)
Experience building APIs, microservices, and system integrations
Strong understanding of end-to-end localization workflows (extraction, translation, review, QA, release)
Experience with translation management systems (e.g., Phrase, Passolo, or similar).
Experience with databases (SQL / NoSQL) and cloud-native architectures.

Preferred Qualifications:

Experience implementing reference-free Quality Estimation or Automated Post-Editing systems
Familiarity with LLM orchestration frameworks (e.g., LangChain)
Experience integrating localization workflows into CI/CD pipelines
Knowledge of automated linguistic QA and validation tooling
Background in NLP, computational linguistics, or multilingual data engineering.
Experience optimizing model inference and cost-performance in production environments.

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More about this job

Responsibilities

Architect and build scalable AI-powered localization systems that integrate machine translation, large language models, quality estimation, and automated post-editing. Lead backend integrations, multilingual data and model workflows, and technical standards while partnering with localization teams and suppliers.

Requirements

Requires 6+ years of software engineering experience, strong Python and transformer-model expertise, and experience training, fine-tuning, and deploying models on AWS. Candidates should also have backend API and integration experience, knowledge of end-to-end localization workflows and translation management systems, and familiarity with databases and cloud-native architectures.

Skills

Python
Transformer-Based Models
Model Training And Fine-Tuning
Model Deployment
Localization Workflows
Neural Machine Translation
Large Language Models
Quality Estimation
Automated Post-Editing
Backend Engineering
APIs And Microservices
AWS
Hugging Face
LangChain
Multilingual Data Engineering

Visa sponsorship

Not detected in the job text

Keywords

Python
Neural Machine Translation
Large Language Models
Quality Estimation
Automated Post-Editing
Hugging Face
LangChain
COMET
BLEURT
BLEU
chrF++
TER
AWS
Amazon SageMaker
Amazon Bedrock
APIs
Microservices
CI/CD
Phrase
Passolo
SQL
NoSQL
Transformer Models
Localization Workflows
Translation Memory
Glossary Data
Multilingual Data Curation
Sentence Alignment
Fuzzy Matching

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Jobs in Coquitlam, BC and nearby