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Founding Machine Learning Engineer Jobs in Alberta

Data Engineer I

Calgary, AB · 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 ...

Data Engineer I

Edmonton, AB · 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 ...

Oversee delivery of end-to-end engagements spanning data engineering, machine learning, generative AI, and intelligent automation . * Ensure engagement quality, business alignment, and client ...

Exposure to integrating machine learning, generative AI, or LLM-based components into application features * Experience mentoring less experienced engineers Energy industry experience is not required ...

Exposure to integrating machine learning, generative AI, or LLM-based components into application features * Experience mentoring less experienced engineers Energy industry experience is not required ...

Research activities span sensors, controls, communications, analytics (including machine learning ... The Sr. Research Engineer will contribute to the research, development, implementation, and ...

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Showing results 1-20

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 are popular job titles related to Founding Machine Learning Engineer jobs in Alberta? For Founding Machine Learning Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Founding Machine Learning Engineer jobs in Alberta look for? The top searched job categories for Founding Machine Learning Engineer jobs in Alberta are:
What cities in Alberta are hiring for Founding Machine Learning Engineer jobs? Cities in Alberta with the most Founding Machine Learning Engineer job openings:
Senior Staff AI Framework Backend Engineer

Senior Staff AI Framework Backend Engineer

Amd

Calgary, AB

Full-time

Posted 28 days ago


Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

24th of 137 rated electronics manufacturers


Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

Responsibilities

SMTS - AI FRAMEWORKS BACKEND INTEGRATION ENGINEER 

THE ROLE: 

AMD is seeking an experienced AI Backend Integration Engineer to drive the performance and scalability of our deep learning platforms. This role involves working at the intersection of high-performance computing and machine learning frameworks, ensuring optimized execution of AI models across various hardware architectures. The ideal candidate will have deep expertise in systems programming (C++/Python), a solid understanding of parallel computing principles, hands-on experience working with deep learning libraries like MIOpen, hipDNN, or equivalent libraries such as cuDNN, and experience working in the backend integration of a framework like PyTorch, JAX, or ONNX Runtime.

THE PERSON: 

The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.  Comfortable navigating large, multi-team codebases for dealing with the ambiguity where the code boundaries meet.

KEY RESPONSIBILITIES: 

  • Design, develop, and implement the integration of low-level backend libraries (e.g., cuDNN, MIOpen, hipDNN) into high-level AI frameworks like PyTorch and TensorFlow.
  • Identify and resolve complex issues related to model execution, data flow, and performance bottlenecks within the integrated systems.
  • Implement best software engineering practices, including code reviews, comprehensive testing (unit and integration), and detailed technical documentation for all integrations and optimizations.
  • Work closely with data scientists, ML engineers, and other software development teams to translate research ideas and model requirements into robust, production-ready systems.
  • Stay abreast of the latest advancements in AI/ML research, GPU technology, and related software ecosystems to propose and implement cutting-edge solutions.
  • Leverage AIassisted development tools to accelerate analysis, integration validation, and documentation, while ensuring correctness and traceability. 

PREFERRED EXPERIENCE: 

  • Expertise in C++ and Python is essential for performance-critical applications and general AI development.
  • Strong hands-on experience with major deep learning frameworks such as PyTorch and TensorFlow including their backend integrations.
  • Strong understanding of system performance, parallel computing principles, and memory management.
  • Experience with Linux and Windows operating system development 
  • Familiarity with modern software development tools and practices, including version control (Git) and CI/CD pipelines.
  • Applied experience using AIassisted coding tools in professional software engineering workflows, including code generation, refactoring, test creation, documentation, and design exploration.   

ACADEMIC CREDENTIALS: 

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent 

#LI-DR1

Qualifications

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's "Responsible AI Policy" is available here.

 

This posting is for an existing vacancy.

Employment Type: FULL_TIME