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Founding Machine Learning Engineer Jobs in British Columbia

DataVisor

Software Engineer - Canada

Vancouver, BC · On-site

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... As platform engineers, we are building a next-generation machine learning platform, which ...

Stryker

Staff Engineer, Computer Vision

Burnaby, BC · On-site

CA$105K - CA$140K/yr

We are seeking a Staff Computer Vision Engineer to provide technical guidance and contribute to the ... Design, develop, train, and integrate advanced computer vision and machine learning solutions.

BDO Canada

AI Engineer

Vancouver, BC

CA$77K - CA$117K/yr

Your Opportunity As an experienced AI Engineer , you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this ...

Tigera

ML Engineer

Vancouver, BC · On-site

CA$160K - CA$180K/yr

We're a focused engineering team working on the hard parts: detecting agents at runtime ... The problems span machine learning, distributed systems, applied AI, and security research. We're ...

New

KPMG

Manager, ML/AI Engineer, Data & AI

Vancouver, BC · On-site

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a handson engineer with deep ...

Brex

Brex Rotational Program

Vancouver, BC · Hybrid

CA$63K - CA$71K/yr

Desire to contribute in a fast-paced environment with a founding team member mindset. Bonus Points ... Machine Learning, Information Systems, or other Engineering. * Basic knowledge or proficiency in ...

DataVisor

Delivery Engineer - Canada

Vancouver, BC · On-site

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

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All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in British Columbia

Founding Machine Learning Engineer information

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

What are popular job titles related to Founding Machine Learning Engineer jobs in British Columbia?

For Founding Machine Learning Engineer jobs in British Columbia, the most frequently searched job titles are:

What cities in British Columbia are hiring for Founding Machine Learning Engineer jobs?

Cities in British Columbia with the most Founding Machine Learning Engineer job openings:

Founding Machine Learning Engineer jobs near you

Software Engineer - Canada

DataVisor

Vancouver, BC • On-site

Full-time

Medical, PTO

Posted 19 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

Summary:

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.

As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.

What you'll do:

  • Design and build machine learning systems that process data sets from the world's largest consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
  • Build and optimize systems, tools, and validation strategies to support new features
  • Help design/build distributed real-time systems and features
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Requirements

  • 1-5 years software development experience
  • 1-5 years experience in Java, Shell, Python development
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
  • Experience in the Spring Framework is a plus
  • Experience with test-driven development is a plus

Preferred Qualifications

  • Worked on multithreaded applications i
  • Experience in Shell and Python
  • Experience in Kubernates
  • Experience in CUDA development is a plus

Benefits

Health Insurance, PTO.

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