Patent agent Jobs

Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon Development Centre Canada ULC —Toronto, ON
- $195,900–$327,200 a year
- Full-time
- Doctoral degree
- Computer Science
- Sales
- Profit sharing
- Dental care
Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada
Extreme Networks —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
Quick apply
Architecte de Solutions Senior, Secteur Public du Québec / Senior Solutions Architect, Quebec Public Sector
Amazon Web Services Canada, Inc. —Montréal, QC
- $146,000–$211,600 a year
- Full-time
- Bilingual
- Computer Science
- Sales
- Profit sharing
- Dental care
Staff AI/ML Engineer
Burq, Inc. —Canada
- Full-time
- Remote
- Azure
- Writing skills
- APIs
- Dental care
- Vision care
Quick apply
Inventory Allocation Manager
NewAge Products Inc —Canada
- $90,000–$110,000 a year
- Full-time
- Remote
- Sales
- Engineering
- ERP systems
Quick apply
Technical patent advisor (patent agent in training) - chemical engineering
Robic —Montréal, QC
- Hybrid work
- Bilingual
- Doctoral degree
- Engineering
- Work from home
- Employee assistance program
5d
Supervisor, patent paralegal team
Robic —Montréal, QC
- Hybrid work
- Microsoft Powerpoint
- Bilingual
- Microsoft Word
- Work from home
- Employee assistance program
2d
Technology Transfer Officer
University of British Columbia —Vancouver, BC
- $8,554.25–$13,340.92 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
4d
Intermediate Applied Machine Learning Scientist – Cancer Care AI Center of Excellence (COE) Siemens Healthineers
Siemens Healthineers —Edmonton, AB
- $67,000–$95,500 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Designated paid holidays
- Paid time off
9d
Technology Transfer Officer
UBC Faculty of Forestry —Vancouver, BC
- $8,554.25–$13,340.92 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
4d
Principal Data Scientist-Gen AI, Machine Learning (10042)
Extreme Networks —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
9d
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada —Toronto, ON
- Full-time
- SQL
- Machine learning
- Financial services
4d
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada —Montréal, QC
- Full-time
- SQL
- Machine learning
- Financial services
4d
Research Scientist, World Modelling | Chercheur scientifique, modélisation du monde
Meta —Montréal, QC
- $104,000–$148,000 a year
- Doctoral degree
- Computer Science
- Data analysis skills
8d
Senior Project Manager
Siemens Healthineers —Winnipeg, MB
- $80,000–$114,000 a year
- Full-time
- Azure
- Doctoral degree
- DevOps
- Designated paid holidays
- Paid time off
1d
Law Clerk
Borden Ladner Gervais LLP —Ottawa, ON
- $55,000–$65,000 a year
- Full-time
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
1d
Legal Assistant - Employment/Indigenous
Aird & Berlis LLP —Vancouver, BC
- $60,000–$80,000 a year
- Hybrid work
- Writing skills
- Microsoft Office
- Communication skills
3d
Legal Counsel, Global Patents
Lululemon —Vancouver, BC
- $139,400–$182,900 a year
- Full-time
- Bachelor's
- In-person
- Dental care
- Paid time off
1d

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Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada
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Proven leadership track record: 12+ years in AI/ML engineering, including 5+ years in senior leadership roles managing teams and large-scale initiatives.
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Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

Amazon Development Centre Canada ULC -
Toronto, ON

Apply Now

Job details

Full-time
$195,900–$327,200 a year

Qualifications

TensorFlow
Doctoral degree
Computer Science
Sales
Engineering
Spark
NumPy
R
Research
Java
Master's degree
C++
Machine learning
Distributed systems
SciPy
Natural language processing
APIs
Business
Python
Hadoop

Full job description

DESCRIPTION

The Measurement, Ad Tech, and Data Science (MADS) team at Amazon Ads is at the forefront of developing innovative solutions that help tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality.

The Media Planning Science team, part of broader MADS team, develops and implements models that deliver insights and recommendations for strategic media planning and measurement across Amazon Advertising's product portfolio. Our mission is to help advertisers create and execute plans that meet their objectives while providing accurate measurement tools. We work on a multitude of problem statements that encompass Reach and Frequency, Budget Planning Optimization, and Recommendations. Our models leverage both heuristic and machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic systems to ensure optimal advertising outcomes.

As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing media planning solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.

Key job responsibilities

Lead the development of media planning models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of media plans across different metrics.
Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
Foster collaborations between scientists to move faster, with broader impact.
Regularly engage with the broader scientific community with presentations, publications, and patents.

A day in the life
You will solve real-world problems by analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop ML/DL models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal documents to share insights to audiences of varying levels of technical sophistication.

About the team
We are a team of scientists across Applied, Research, and Data Science disciplines. You will work with colleagues with deep expertise in ML, DL, NLP, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

BASIC QUALIFICATIONS

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

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.
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

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, ON, Toronto - 195,900.00 - 327,200.00 CAD annually

Apply Now

Refine Your Search

Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)

Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada

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Principal Data Scientist-Gen AI, Machine Learning (10042)

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Staff Data Scientist, AI Evaluations Platform

Research Scientist, World Modelling | Chercheur scientifique, modélisation du monde

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PREFERRED QUALIFICATIONS

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