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Founding Machine Learning Engineer Jobs in Edmonton, AB

Engineering Excellence: Lead the development and implementation of robust, scalable, and efficient ... Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions ...

Understanding of machine programming and control operations (Mazak, Fanuc, Heidenhain, Siemens) is ... Must be open to continuous learning and improvement Physical requirements * Able to lift to 50lbs

Understanding of machine programming and control operations (Mazak, Fanuc, Heidenhain, Siemens) is ... Must be open to continuous learning and improvement Physical requirements * Able to lift to 50lbs

Chief Engineer

Edmonton, AB

CA$100K - CA$110K/yr

... machinery * Strong electrical troubleshooting skills, particularly 3-phase systems * PLC ... Commitment to continuous learning and industry best practices Education & Physical Requirements

Chief Engineer

Edmonton, AB

CA$100K - CA$110K/yr

... machinery * Strong electrical troubleshooting skills, particularly 3-phase systems * PLC ... Commitment to continuous learning and industry best practices Education & Physical Requirements

... engineering, semantic modeling, analytics, reporting, and machine learning. Conducting customer-facing strategic workshops and assessments of existing data platforms to create recommendations on how ...

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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.

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 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:
Data Science Student

Full-time

Posted 11 hours ago


PCL Construction rating

7.0

Company rating: 7.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

The future you want is within reach. 
At PCL, we build the places where life happens and find camaraderie in the process. We’re a community of builders committed to building better communities. That’s why we’re always looking ahead, and not just to the next project or what’s next in our industry.  
We’re also looking at what’s next for you and how we can help you build a career you’re proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.  


We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is available for 8 or 12 months starting in September, 2026. This position will be under the direct supervision of the Manager, Data Science

Remote work not available for this position.

 
As a Data Science Student, you will contribute to our team by: 

Responsibilities

•    Gain proficiency in exploratory data analysis, perform it, and present insights. 
•    Prepare data sets for visualization and machine learning modeling. 
•    Train machine learning systems using data annotation and benchmarking techniques. 
•    Help your colleagues assess AI/ML model performance and propose paths for potential improvement. 
•    Prepare data visualizations using industry-leading tools to summarize results for stakeholders. 
•    Document your results - tell the story of the work, the successes, and the lessons-learned for posterity. 
•    Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise. 


This position has a twist. Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you: 
•    Develop a proposal 
•    Engage with the right people to inform your work 
•    Build your prototype or visualization 
•    Assess and present the results 

Qualifications

•    Currently enrolled in a postsecondary program 
•    You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we’d like to hear why you'll be a good fit regardless. 
•    Analytical skills – ability to quickly analyze data to identify and visualize key insights – as evidenced by coursework, projects, or research requiring the analysis of large datasets. 
•    Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine. 
•    Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us.  We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. 
•    Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you’ll find it important to be able to communicate appropriately with both as needed. 

Next Step: 
•    Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview. 
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.

The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants.  We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.  
Together, we can build success and a better future. Let’s get started! 
 


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