7 AI Content Writer jobs in Edmonton

Job Description

Salary:

"I'm incredibly excited to welcome a new Machine Learning Engineer to our team! This role is perfect for someone passionate about diving deep into optimizing AI workflows, HPC, and shaping the future of our infrastructure. We're looking for a collaborative individual who thrives on both technical excellence and guiding others, ultimately making a significant impact on our research productivity and the advancement of state-of-the-art ML models. I can't wait to see the innovative solutions you'll bring to Amii!"

Greg Burlet, Director of Engineering

About Amii

Alberta Machine Intelligence Institute (Amii) is one of Canadas three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the worlds top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

About the Role

The Machine Learning (ML) Engineer plays a key role in ensuring machine learning research and applied AI projects operate securely and effectively. As a key member of the team, the ML Engineer will collaborate with senior engineering leaders to help manage infrastructure, optimize AI workflows, develop training materials, and contribute to the technical development of both individuals and the organization.

The ML Engineer will work with cross-functional teams and external partners to support the development and execution of research and applied projects. Focusing on implementing and managing High-Performance Computing (HPC) systems and pipelines, ensuring efficient allocation of resources such as GPUs and TPUs, and providing support for users of these systems. This role is critical to advancing research productivity and enabling state-of-the-art machine learning models.

In addition to hands-on technical work, the ML Engineer will contribute to the strategic planning of our infrastructure, working alongside the Director, IT, and the Director, Engineering to develop strategies, playbooks, and best practices for optimizing our tools, frameworks, and services.

The role focuses on achieving excellence in three main accountabilities:

• Infrastructure and Systems Management
• AI Workflow Optimization
• Technical Coaching and Collaboration

Required Skills / Expertise

Key Responsibilities:

• Assists in the design, implementation, and management of High-Performance Computing (HPC) environments to support machine learning and AI research
• Oversees computing resources (e.g. GPUs, TPUs, cloud instances) to ensure secure and efficient operations, with a focus on optimizing resource utilization and availability for AI workflows
• Establishes monitoring and logging systems to track infrastructure performance, proactively detect anomalies, and ensure real-time alerts for system integrity and uptime
• Implements and maintains automated AI pipelines to streamline model development and ensure effective use of computational resources
• Provides support by diagnosing and resolving technical issues, performing routine system maintenance, and enhancing the performance of supporting infrastructures
• Monitors, assesses and analyzes data from ML projects to ensure effective model performance and project outcomes
• Utilize strong analytical skills to visualize data, analyze statistical trends, and assess the effectiveness of AI software outputs
• Assists in the development and refinement of playbooks and strategies to maximize the use of tools, infrastructure, libraries, and frameworks
• Apply hands-on experience with AI tools and frameworks (e.g. TensorFlow, PyTorch, Keras) to support deep learning initiatives
• Leverage strong knowledge of Linux-based systems (e.g. Red Hat, CentOS, Ubuntu), proficiency in scripting languages (e.g. Bash, Python), Infrastructure as Code (e.g. terraform, opentofu, ansible), container orchestration systems (e.g., Kubernetes), and github workflows to automate tasks and optimize infrastructure performance
• Identifies and resolves end-user queries related to AI workflows, providing configuration support for software coding issues and infrastructure setups
• Install, configure, and diagnose software applications for machine learning algorithms and GPU-based computing to ensure seamless operation
• Collaborates with university system administrators, AI researchers, and support staff to facilitate the integration and operation of AI/ML systems
• Participates in training, code reviews, and coaching to enhance team members' technical capabilities
• Designs and delivers technical training on AI/ML workflows, guiding researchers on how to optimize their workflows and make the most of available infrastructure resources
• Partners with the Director, Engineering and external partners (e.g. academic institutions and industry partners) to support ML projects

Qualifications:

• Post Secondary Degree in Computer Science, Information Technology, Data Science, or a related field
• Advanced Degrees or Certifications in High-Performance Computing (HPC), Computer Science, ML/AI or Cloud Infrastructure (nice to have)
• 3+ years of experience in ML engineering practice or research in a fast-paced, innovative environment.
• 5+ years of experience in Python programming, MLOps (e.g., PyTorch, TensorFlow, distributed LLM pre-training), systems administration, or software development roles in UNIX/Linux or large-scale high-performance computing environments (experience working with GPUs preferred), as well as associated cloud computing platform
• Source Code Analysis: Proficiency in analyzing the source code of AI-based software
• Experience in academic or industry research environments
• Familiarity with containerization technologies (e.g. Docker) and orchestration tools (e.g. Kubernetes)
• Experience with optimizing large-scale AI models for resource efficiency

Attributes and Expectations:

• Advanced critical thinking and problem-solving skills
• Strong interpersonal communication skills for effective collaboration with internal teams and external stakeholders. Operates with integrity and trust
• Passion for designing effective learning exercises, technical concept illustrations, training, and evaluation tools
• Ability to manage multiple competing priorities in a fast-paced environment
• Demonstrates professional maturity, resourcefulness, and self-discipline in pursuing organizational goals
• A curious mindset with a keen interest in testing new educational tools and technologies
• Shows presence, self-confidence, sound judgment, and superior problem-solving abilities
• Fosters high-level cross-functional collaboration and establishes credibility while influencing peers to achieve common goals

What you'll love about us

• A professional yet casual work environment that encourages the growth and development of your skills.
• Participate in professional development activities
• Gain access to the Amii community and events
• A chance to learn from amazing teammates who support one another to succeed.
• Competitive compensation, including paid time off and flexible health benefits.
• A modern office located in downtown Edmonton, Alberta.

How to Apply

Were excited to add a new member to the Amii team for this role! We are keeping the door open to new applicants until we find the right fit. When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.

About the job:

• Participate in the innovative LLMs reasoning and LLMs empowered AI agent research project;

• Implement algorithms for proposed models and applications, deploy into internal product;

• Work closely with researchers in the team;

• Keeping up-to-date on selected areas of ML and writing scientific reports;

• Provide insight report on the latest literature work.

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.

About the job:

• Work on machine learning research, in particular for continual learning and their application in large language models (LLMs).

• Evaluate algorithms on general ML benchmarks or large foundation models such as LLMs.

• Keeping up-to-date on recent advances in related fields.

Job Description

Salary:

If you are excited about leveraging machine learning, deep learning, and state-of-the-art vision foundation models for computer vision in biotechnology, this is the right opportunity for you. Be a part of a team of research and machine learning scientists and get mentored by some of the best minds in AI while doing it.

- Atefeh Shahroudnejad, Machine Learning Scientist

About the Role

This is a paid residency that will be undertaken over a twelve-month period with the potential to be hired by our client afterwards (note: at the discretion of the client). The resident will be reporting to an Amii Machine Learning Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.

About our Client

Our client is a fast-growing biotech startup based in the San Francisco Bay Area that is developing a platform for multi-modal analysis of cells that heavily leverages imaging for data acquisition. The company is staffed with a world class team of engineers, scientists, team builders and problem solvers that are passionate about developing the next generation technologies that will unravel the complexities of biology.

About the Project

The aim of this project is to develop, train, and evaluate Machine Learning models for object detection and segmentation to be applied to live cell images. You will delve into advanced deep learning techniques, potentially working with vision foundation models like ViTs and SAM, to enhance cell morphology detection, improve the overall efficiency of the platform, and ensure that models are generalizable to diverse cell types.

Required Skills / Expertise

Are you passionate about building great solutions? Do you want to drive a high impact business? Youll be presented with opportunities to both personally and professionally develop as you build your career. Were looking for a talented and enthusiastic individual with a solid background in machine learning, deep learning, and computer vision.

Key Responsibilities:

• Build, train, and evaluate ML models for computer vision tasks, especially object detection and segmentation
• Prepare data for ML training
• Undertake applied research on ML techniques to address the limitations in existing models
• Collaborate with the project team and stakeholders to develop MVP and client-focused solutions
• Participate in regular meetings with the client, preparing presentations and reports

Required Qualifications:

• Completion of a graduate-level program or higher (M.Sc/Ph.D) in Computing Science, Machine Learning, or Engineering with a specialization in Computer Vision
• Solid understanding and experience in applying different deep learning models and techniques for computer vision tasks such as image segmentation, object detection, and etc
• Experience with advanced models such as Transformers and ViTs
• Experience using classical computer vision tools and libraries (e.g., OpenCV, Pillow)
• Proficient in developing, training, and fine-tuning deep neural network models in PyTorch and Tensorflow/Keras
• Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Hugging Face Transformers, TIMM, and Scikit-learn)
• Familiarity with Ubuntu, SSH, Git, and writing clean code.
• A positive attitude towards learning and understanding a new applied domain
• Must be legally eligible to work in Canada

Preferred Qualifications:

• Expertise in few-shot learning and Fine-tunning large transformer-based models with limited labeled data
• Publication record in peer-reviewed academic conferences or relevant journals in machine learning (specifically machine vision)
• Experience with deploying machine learning models in production environments or strong software engineering (or MLE) skills is a plus
• Familiarity with AWS and GCP

Non-Technical Requirements:

• Desire to take ownership of a problem and demonstrated leadership skills
• Interdisciplinary team player enthusiastic about working together to achieve excellence
• Capable of critical and independent thought
• Able to communicate technical concepts clearly and advise on the application of machine intelligence
• Intellectual curiosity and the desire to learn new things, techniques, and technologies
  
  

Why You Should Apply

Besides gaining industry experience, additional perks include:

• Work under the mentorship of an Amii Scientist for the duration of the project
• Participate in professional development activities
• Gain access to the Amii community and events
• Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
• Build your professional network
• The opportunity for an ongoing machine learning role at the clients organization at the end of the term (at the clients discretion)

About Amii

One of Canadas three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the worlds top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

How to Apply

If this sounds like the opportunity you've been waiting for, please dont wait for the closing July 22, 2025 to apply - were excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send yourresume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.

Job Description

Salary:

Come work with us to explore innovative applications of LLMs in automating workforce management, scheduling, and customer support. Be a part of the team of research and machine learning scientists building deployable real-world ML applications from ground up and get mentored by some of the best minds in AI during the process.

- Atefeh Shahroudnejad & Soumik Farhan, Machine Learning Scientists and Adam Danyleyko, Product Owner, Advanced Technology

About the Role

This is a paid internship that will be undertaken over a five-month period. The Intern will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities. Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.

About the Client

MiddleAI is an Alberta-based startup that is proud to have partnered with both Amii and AWS to commercialize groundbreaking new Generative AI Action models. Our research focus has been primarily on ethical, goal-based, multi-agent ecosystems that can reason and take action autonomously on behalf of Large Workforce Companies.

About the Project

As our name suggests, we are aiming to be the middleware between existing systems; much like humans often are in the corporate machine. You will join a team of like-minded, self-motivated nerds focussed on solving a narrow use case related to managing large workforces, scheduling and internal customer support.

Armed with our proprietary dataset, and an armful of Compute Credits, youll work with us to build the future of work for middle managers everywhere. We work in Python, and are currently leveraging Bedrock, Pinecone and Caffeine.

Required Skills / Expertise

Are you passionate about building great solutions? Youll be presented with opportunities to both personally and professionally develop as you build your career. Were looking for a talented and enthusiastic individual with a solid background in machine learning, specifically NLP and LLMs.

Key Responsibilities:

• Design and implement LLM-powered pipelines using techniques like RAG and LLM Agents to automate decision-making in workforce management.

• Identify, prepare, and optimize large structured and unstructured datasets for ML training
• Conduct applied research on ML and LLM techniques, with a focus on understanding and addressing the existing challenges
• Collaborate with project team and stakeholders to develop minimum viable products (MVPs) and client focused solutions
• Engage in regular client meetings, contributing to presentations and reports on project progress
• Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities
• Support the productionalization and deployment of models in client environment

Required Qualifications:

• Completion of a graduate level program or higher (M.S./Ph.D) in Computer Science, ML or Engineering
• Research or project experience in machine learning, specifically using NLP tools and techniques
• Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, PyTorch, Pandas, Tensorflow, Langchain, Llamaindex)
• Familiarity with linux, Git version control, and writing clean code
• A positive attitude towards learning and understanding a new applied domain
• Must be legally eligible to work in Canada

Preferred Qualifications:

• Publication record in peer-reviewed academic conferences or relevant journals in machine learning (specifically LLM work or applied ML applications)

Non-Technical Requirements:

• Desire to take ownership of a problem and demonstrated leadership skills
• Interdisciplinary team player enthusiastic about working together to achieve excellence
• Capable of critical and independent thought
• Able to communicate technical concepts clearly and advise on the application of machine intelligence
• Intellectual curiosity and the desire to learn new things, techniques, and technologies

Why You Should Apply

Besides gaining industry experience, additional perks include:

• Work under the mentorship of an Amii Scientist for the duration of the project
• Participate in professional development activities
• Gain access to the Amii community and events
• Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
• Build your professional network
• The opportunity for an ongoing machine learning role at the clients organization at the end of the term (at the clients discretion)

About Amii

One of Canadas three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the worlds top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

How to Apply

If this sounds like the opportunity you've been waiting for, please dont wait to apply - were excited to add a new member to the Amii team for this role, and the posting will remain open until a suitable candidate is found! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.