vancouver, bc ml engineer Jobs – 91 Openings This Week

Sr. Applied Scientist, Private Brands Intelligence - SCIT Science
Amazon.com.ca, ULC —Vancouver, BC
- $195,900–$327,200 a year
- Full-time
- Doctoral degree
- Java
- Master's degree
- Profit sharing
- Dental care
4d
Machine Learning Software Engineer
Royal Bank of Canada —Vancouver, BC
- Full-time
- DevOps
- Research
- Machine learning
Machine Learning Engineer (BFSI) - MLEBAS
NavitasPartners —Vancouver, BC
- From $30 an hour
- Computer Science
- Master's degree
- SQL
Quick apply
1d
MLOps Engineer (BFSI) - MLEBAS
NavitasPartners —Vancouver, BC
- From $30 an hour
- Azure
- Computer Science
- DevOps
Quick apply
1d
DevOps Engineer
A-CX —Vancouver, BC
- $99,327–$122,892 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
Quick apply
Intermediate Software Engineer - Artificial Intelligence (AI)
Tucows Inc. —Vancouver, BC
- $100,000–$115,000 a year
- Remote
- Computer Science
- Engineering
- Databases
Quick apply
MLOps Engineer (Energy) - MLEAS
NavitasPartners —Vancouver, BC
- From $30 an hour
- Azure
- AI
Quick apply
1d
Senior AI Engineer
Robots and Pencils —Vancouver, BC
- Remote
- Databases
- AWS
- APIs
Quick apply
Staff, Machine Learning Engineer
Fullscript —Vancouver, BC
- Full-time
- Remote
- Engineering
- SQL
- Machine learning
- Paid time off
Quick apply
Senior Full Stack Engineer
Procurify —Vancouver, BC
- $122,000–$152,000 a year
- Full-time
- Remote
- AWS
- APIs
- Agile
- Dental care
- Employee assistance program
Quick apply

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Sr. Applied Scientist, Private Brands Intelligence - SCIT Science

Amazon.com.ca, ULC -
Vancouver, BC

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Job details

Full-time
$195,900–$327,200 a year
4 days ago

Qualifications

TensorFlow
Doctoral degree
Spark
NumPy
R
Java
Master's degree
C++
Machine learning
Distributed systems
Algorithm design
SciPy
Business
Python
Hadoop

Full job description

DESCRIPTION

The Private Brands team is looking for a Sr. Applied Scientist to join the team in building science solutions at scale. Our team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business and develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Scientists, Engineers, and Economists.

Key job responsibilities
You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models.

This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economists. As a Sr Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.

We are particularly interested in candidates with experience in Operations Research and predictive models and working with distributed systems. Academic and/or practical background in Operations Research, Machine Learning and Reinforcement Learning are particularly relevant for this position.
To know more about Amazon science, Please visit https://www.amazon.science

BASIC QUALIFICATIONS

3+ years of building machine learning models or developing algorithms for business application experience
PhD, or Master's degree and 5+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with conducting research in a corporate setting

PREFERRED QUALIFICATIONS

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 195,900.00 - 327,200.00 CAD annually

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ml engineer jobs in vancouver, bc

Sr. Applied Scientist, Private Brands Intelligence - SCIT Science

Machine Learning Software Engineer

Machine Learning Engineer (BFSI) - MLEBAS

MLOps Engineer (BFSI) - MLEBAS

DevOps Engineer

Intermediate Software Engineer - Artificial Intelligence (AI)

MLOps Engineer (Energy) - MLEAS

Senior AI Engineer

Staff, Machine Learning Engineer

Senior Full Stack Engineer

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