20 meilleures offres (data scientist & ai engineer, vancouver, bc) (à pourvoir)

AI Engineer
Workday —Vancouver, BC
- De 138 000 $ à 270 200 $ par an
- Temps plein
- Doctorat
- Informatique
- Ingénierie
Senior AI Engineer
Workday —Vancouver, BC
- De 169 000 $ à 253 000 $ par an
- Temps plein
- Doctorat
- Informatique
- Ingénierie
Senior Optics Physicist/Research Scientist
Angstrom Vision —North Vancouver, BC
- Temps plein
- Doctorat
- Expérience en laboratoire
- Anglais
- Congés payés
- Congé de maladie payé
Data Scientist II
Scribd, Inc. —Vancouver, BC
- De 118 000 $ à 150 000 $ par an
- Temps plein
- Informatique
- Maîtrise
- SQL
- Assurance Invalidité
- Assurance Dentaire
Data Engineer II, Alexa Audio
Amazon Development Centre Canada ULC —Vancouver, BC
- De 103 300 $ à 172 600 $ par an
- Temps plein
- SQL
- Intelligence artificielle
- Python
- Régimes de participation aux bénéfices
- Assurance Dentaire
Applied AI/ML Scientist
Lululemon —Vancouver, BC
- De 146 830 $ à 192 720 $ par an
- Temps plein
- Doctorat
- Informatique
- Recherche
- Assurance Dentaire
- Congés payés
Principal AI Engineer
Workday —Vancouver, BC
- De 188 000 $ à 282 000 $ par an
- Temps plein
- Doctorat
- Informatique
- Ingénierie
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS —Vancouver, BC
- De 113 000 $ à 152 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Doctorat
- Informatique
- Assurance Dentaire
- Congés payés
Postuler rapidement
il y a 6 jours
Junior/Intermediate Environmental Engineer or Scientist
GHD —Vancouver, BC
- De 77 550 $ à 129 250 $ par an
- Travail hybride
- Ingénierie
- Baccalauréat
- Amélioration continue
Deployment Strategist
Fujitsu —Vancouver, BC
- De 121 284,80 $ à 155 937,60 $ par an
- Doctorat
- Informatique
- Ingénierie
Machine Learning Engineer, AICE - AI Center of Excellence
Amazon Development Centre Canada ULC —Vancouver, BC
- De 114 800 $ à 191 800 $ par an
- Temps plein
- Informatique
- Maîtrise
- Baccalauréat
- Régimes de participation aux bénéfices
- Assurance Dentaire
Cloud AI Engineer
Noise —Vancouver, BC
- Temps plein
- Dépannage de logiciel
- Conception de systèmes
- SQL
Entry Level Machine Learning Engineer (Remote - Canada)
Yelp —Vancouver, BC
- De 85 000 $ à 107 000 $ par an
- Temps plein
- Télétravail
- Java
- C++
- Développement logiciel
il y a 10 jours
Senior Software Development Engineer (Front End) - Evisort AI
Workday —Vancouver, BC
- De 140 000 $ à 210 000 $ par an
- Temps plein
- Recherche
- AWS
- Baccalauréat
Senior AI/ML Engineer
Lululemon —Vancouver, BC
- De 176 760 $ à 232 000 $ par an
- Temps plein
- Informatique
- Maîtrise
- Baccalauréat
- Assurance Dentaire
- Congés payés
Scientist – Digital Discovery: Automation & Intelligent Systems
Amgen —Burnaby, BC
- De 109 254,75 $ à 147 815,00 $ par an
- Doctorat
- Dépannage de logiciel
- Conception de systèmes
Senior Software Engineer — Systems
UrbanLogiq —Vancouver, BC
- De 120 000 $ à 160 000 $ par an
- Temps plein
- Travail hybride
- Conception de systèmes
- Mentorat
- Développement logiciel
- Assurance Dentaire
2027 Winter Student Opportunities RBC Borealis - Machine Learning Software Engineer, 4-8 Months
Royal Bank of Canada —Vancouver, BC
- Temps plein
- Informatique
- Ingénierie
- Java
Principal Product Manager, AI Solutions
Royal Bank of Canada —Vancouver, BC
- Temps plein
- Capacités de présentation
- Apprentissage automatique
- Amélioration continue
Field Engineering Intern
AECOM —Burnaby, BC
- De 25 $ à 30 $ de l’heure
- AutoCAD
- Baccalauréat
- Contrôle de la qualité
- Plan d'actionnariat des employés
- Assurance Dentaire
il y a 10 jours

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AI Engineer

Workday -
Vancouver, BC

Postuler dès maintenant

Détails du poste

Temps plein
De 138 000 $ à 270 200 $ par an

Profil recherché

TensorFlow
Génie logiciel
Droit
Doctorat
Informatique
PyTorch
Leadership d'équipe
Ingénierie
Mathématiques
Google Cloud Platform
Recherche
Maîtrise
Analyse statistique
AWS
Baccalauréat
Apprentissage profond
Physique
Traitement du langage naturel
Développement logiciel
Intelligence artificielle
Collaboration interfonctionnelle
Compétences en communication
Communication interfonctionnelle

Description complète du poste

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.

About the Role

As a Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement. You’ll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You’ll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.

About You

Basic Qualifications

5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
3+ years of professional experience in building services to host machine learning models in production at scale
1+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
3+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications:

Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders

Workday Pay Transparency Statement

Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here .

Primary Location: CAN.BC.Vancouver

Primary Location Base Pay Range: $180,200 CAD - $270,200 CAD

Primary CAN Base Pay Range: $138,000 - $208,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email [email protected] .

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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data scientist & ai engineer emplois - vancouver, bc

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data scientist & ai engineer (vancouver, bc)

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