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Founding Machine Learning Engineer Jobs in Edmonton, AB

As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. Honestly, it is a ...

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

New

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

GCP Professional Machine Learning Engineer Certification * Working knowledge of leveraging Claude in the workflows * Experience with Google Vertex AI or Kubeflow for ML orchestration * Background in ...

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

Data Engineer I

Edmonton, AB ยท Hybrid

CA$70K - CA$85K/yr

Exposure to MLOps, machine learning, or advanced analytics * Experience with IoT, telemetry, or ... If you're a motivated early-career data engineer looking to build meaningful solutions and grow ...

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Founding Machine Learning Engineer information

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 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 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.
What job categories do people searching Founding Machine Learning Engineer jobs in Edmonton, AB look for? The top searched job categories for Founding Machine Learning Engineer jobs in Edmonton, AB are:

Machine Learning Engineer

Takeaway

Edmonton, AB โ€ข Remote

Full-time

Posted 9 days ago


Job description

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience.

Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role:

We are looking for engineers with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. Honestly, it is a great environment! You will work with brilliant people with world class knowledge, and a passion for sharing knowledge and solving interesting and complex problems. You will collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. From predicting ETAs to solving pricing problems, our ML pipelines form the backbone of our delivery operations.

Location: Remote Canada

Reporting to: Technology Manager, Machine Learning

These are some of the key ingredients to the role:
  • Proven academic/industry experience in Machine Learning or similar, developing technologies for forecast or logistics products.
  • Strong coding and software engineering skills in a mainstream programming language; Python preferred.
  • Able to work independently and solve complex problems, with a demonstrated ability to productize and deploy using cloud services (eg. Amazon Web Services, Google Cloud Platform).
  • Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns.
  • Familiarity with ML tools and packages like TensorFlow, pyTorch etc.
  • Practical experience building and optimizing production quality machine learning applications making use of engineering best practices, automation and experimentation.
  • Understanding of machine learning algorithms and ability to apply them in data driven processing systems.
  • Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
  • Ability to collaborate closely with multi-functional teams, driving forward best practices.
  • Clear oral and written communication.
What will you bring to the table?
  • Researching, implementing, and deploying innovative ML techniques applicable to logistics problems.
  • Scaling and transferring novel machine learning solutions to improve our decision making processes and solutions in their different product use cases.
  • Implementing and launching Data Science applications that coordinate with front facing solutions; constant improvements using performant and efficient ML models.
  • Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope.
At JET, this is on the menu:

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!


#LI-OF1

Employment Type: Full time