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Machine Learning Engineer jobs in Canada

Senior Data Engineer II

Life360

Canada
On-site
CAD 100,000 - 130,000
15 days ago
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Data Governance Lead / Lead Data Analyst

Exusia

Toronto
On-site
CAD 90,000 - 120,000
15 days ago

HR Data Analyst

House of Commons (Canada) / Chambre des communes (Canada)

Ottawa
On-site
CAD 60,000 - 80,000
15 days ago

Product Data Analyst - CARFAX Canada

CARFAX Canada

London
On-site
CAD 70,000 - 90,000
15 days ago

Data Analyst

Canopy Growth Corporation

Toronto
On-site
CAD 70,000 - 90,000
15 days ago
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Machine Learning Software Engineer

RBC

Vancouver
On-site
CAD 80,000 - 100,000
17 days ago

Machine Learning Software Engineer - GPU/NPU

Huawei Technologies Canada Co., Ltd.

Burnaby
On-site
CAD 78,000 - 168,000
17 days ago

Senior Machine Learning Developer I

HRB

Canada
Remote
CAD 100,000 - 130,000
16 days ago
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Développeur(se) de Données Sénior (Machine Learning) / Senior Data Developer (Machine Learning)

Unity Technologies

Montreal
On-site
CAD 80,000 - 120,000
23 days ago

TFG Financial Corporation Jasper Alberta Data Scientist

The Fairmont Jasper Park Lodge

Municipality of Jasper
Hybrid
CAD 135,000 - 140,000
16 days ago

Lead Data Scientist

Global Excel

Sherbrooke
On-site
CAD 100,000 - 125,000
16 days ago

3D Data Analyst and Draftsperson

J.D. Irving, Limited

Saint John
On-site
CAD 60,000 - 80,000
16 days ago

Procurement Data Analyst Student

PCL Construction

Edmonton
On-site
CAD 60,000 - 80,000
16 days ago

data modeler

Prophecy Technologies

Regina
On-site
CAD 100,000 - 125,000
16 days ago

data engineer

The Wolf Works LLC

Vancouver
Hybrid
CAD 150,000 - 155,000
16 days ago

Data Analyst - Studios

Light & Wonder

Montreal
Hybrid
CAD 70,000 - 90,000
16 days ago

Data Modeler

Apptad Inc

Mississauga
On-site
CAD 80,000 - 120,000
16 days ago

Data Scientist - Toronto Office

CBRE Group, Inc

Toronto
On-site
CAD 85,000 - 110,000
16 days ago

Senior Data Engineer - Integrations Specialist

Astra North Infoteck Inc.

Laval
On-site
CAD 60,000 - 80,000
16 days ago

Senior Data Engineer

Cynet Systems

Montreal
On-site
CAD 90,000 - 120,000
16 days ago

RFP 25-143 Data Modeler

Morson

Toronto
Hybrid
CAD 125,000 - 150,000
16 days ago

Senior Data Scientist I

LexisNexis Group

Toronto
On-site
CAD 80,000 - 120,000
16 days ago

Senior Data Scientist

Canadian Tire

Toronto
On-site
CAD 90,000 - 120,000
16 days ago

Online Data Analyst | Part-time French Speaker

TELUS Digital AI Data Solutions

Saguenay
Remote
CAD 60,000 - 80,000
16 days ago

Senior Data Scientist, Modeling

Babylist

Canada
Remote
CAD 155,000 - 188,000
16 days ago

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Senior Data Engineer II
Life360
Canada
On-site
CAD 100,000 - 130,000
Full time
15 days ago

Job summary

A leading data technology company in Canada is looking for a Senior Data Engineer to enhance and maintain their data processing and storage systems. Ideally, you will have over 5 years of experience with high-volume data infrastructure and be proficient in programming languages like Python, Java, or Scala. This role offers competitive pay, remote flexibility, and a commitment to inclusivity and diversity.

Benefits

Competitive pay and benefits
Medical, dental, and vision insurance
Flexible PTO
Free Life360 Platinum Membership
Employee Assistance Program

Qualifications

  • 5+ years of experience working with high volume data infrastructure.
  • Experience programming in Python, Java, or Scala.
  • Proficient with SQL and data frameworks.

Responsibilities

  • Design and manage scalable data processing platforms.
  • Implement data workflows and architecture.
  • Automate and test data processing systems.

Skills

Data infrastructure management
Python
AWS
SQL optimization
Apache Spark
Data modeling

Education

BS in Computer Science or related field

Tools

Databricks
ETL tools
Kinesis
Kafka
Job description
About The Team

The Data Platform team’s purpose is to design, build, and maintain scalable and efficient data infrastructure that empowers Life360 teams to make data-driven decisions. We transform raw data into reliable, accessible, and actionable insights, ensuring data quality, compliance, security, costs and performance at every step. By leveraging innovative technologies and best practices, we enable Product, Analytics and Partners to unlock the full potential of data, driving operational excellence and strategic growth.

About the Job

At Life360, we collect a lot of data: 60 billion unique location points, 12 billion user actions, 8 billion miles driven every single month, and so much more. As a Senior Data Engineer, you will contribute to enhancing and maintaining our data processing and storage pipelines/workflows for external and internal data consumers. You should have a strong engineering background and even more importantly a desire to take ownership of our data systems to make them world class.

What You’ll Do

Primary responsibilities include, but are not limited to:

  • Design, implement, and manage scalable data processing platforms used for real-time analytics and exploratory data analysis.
  • Manage our data from ingestion through ETL to storage and batch processing.
  • Automate, test and harden all data workflows.
  • Architect logical and physical data models to ensure the needs of the business are met.
  • Collaborate with product analytics, data scientists, while applying best practices
  • Architect and develop systems and algorithms for distributed real-time analytics and data processing
  • Implement strategies for acquiring data to develop new insights
What We’re Looking For

Experiences required for success in this role include:

  • Minimum 5+ years of experience working with high volume data infrastructure.
  • Experience with Databricks, AWS, ETL and Job orchestration tooling.
  • Extensive experience programming in one of the following languages: Python / Java / Scala.
  • Experience in data modeling, optimizing SQL queries, and system performance tuning.
  • Knowledge and proficiency in the latest open source and data frameworks, modern data platform tech stacks and tools.
  • You are proficient with SQL, AWS, Databases, Apache Spark, Spark Streaming, EMR, and Kinesis/Kafka
  • You delight in crushing messy unstructured data and making the world sane by producing quality data that is clean and usable
  • Always be learning and staying up to speed with the fast moving data world.
  • You have good communication skills and can work independently
  • BS in Computer Science, Software Engineering, Mathematics, or equivalent experience
  • Competitive pay and benefits
  • Medical, dental, vision, life and disability insurance plans
  • RRSP plan with DPSP company matching program
  • Employee Assistance Program (EAP) for mental well being
  • Flexible PTO, several company wide days off throughout the year
  • Winter and Summer Week-long Synchronized Company Shutdowns
  • Equipment, tools, and reimbursement support for a productive remote environment
  • Free Life360 Platinum Membership for your preferred circle
  • Free Tile Products
Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

  • Be a Good Person - We have a team of high integrity people you can trust.
  • Be Direct With Respect - We communicate directly, even when it’s hard.
  • Members Before Metrics - We focus on building an exceptional experience for families.
  • High Intensity High Impact - We do whatever it takes to get the job done.
Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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