170 AI Ml Engineer jobs in Canada

Job Description

About CookUnity

Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you've found the right job posting.

As the Head of AI/ML/GenAI, you will lead a high-performing team of AI/ML engineers, and embedded data engineers. You will be responsible for driving the vision and strategy for CookUnity's AI/ML/GenAI initiatives, data infrastructure, and community-driven engineering efforts. This is a unique opportunity to build and scale state-of-the-art AI/ML solutions that fuel growth and innovation within the company, while fostering a collaborative environment that leverages the expertise of engineers across various domains.

This role reports directly to the Chief Technology Officer (CTO), working closely with senior leadership to align AI/ML strategy with the overall business vision.

A key focus of this role will be accelerating the adoption and integration of Large Language Models (LLMs) and Generative AI (GenAI) technologies across CookUnity, enabling innovative product features and internal efficiencies.

• Leadership & Team Management:
  • Lead, mentor, and develop a cross-functional AI/ML team, including data engineers and embedded data engineers.
  • Foster a community-driven culture that encourages knowledge sharing, collaboration, and continuous learning.
  • Align team objectives with broader company goals, ensuring that projects are executed effectively and efficiently.
• AI/ML Strategy & Implementation:
  • Drive the development of scalable AI/ML solutions that support both operational and strategic goals at CookUnity.
  • Develop and implement machine learning models that improve customer personalization, operational efficiency, and data-driven decision-making.
  • Lead the integration and adoption of Large Language Models (LLMs) and Generative AI (GenAI) to enhance product features, improve customer experience, and accelerate business growth.
  • Stay at the forefront of emerging AI/ML technologies, including LLMs and GenAI, and apply relevant innovations to solve complex problems.
• Data Infrastructure & Architecture:
  • Oversee the architecture of CookUnity's data pipelines, ensuring they are robust, scalable, and efficient to support machine learning, analytics, and GenAI model deployments.
  • Manage the end-to-end lifecycle of data processing, including ingestion, storage, transformation, and analytics.
  • Collaborate with the infrastructure team to ensure data platforms are optimized for performance, reliability, and security.
• Collaboration & Cross-Functional Partnerships:
  • Work closely with product, engineering, and business teams to understand their data needs and deliver impactful solutions.
  • Drive the integration of embedded data engineering into core product development cycles.
  • Engage with senior leadership to align AI/ML strategies with broader company initiatives and business outcomes.
• Community & Knowledge Sharing:
  • Establish and nurture a community of AI/ML experts across CookUnity to share best practices, solve challenges, and promote innovation.
  • Spearhead internal forums, workshops, and seminars to accelerate the adoption of LLMs and GenAI, ensuring that team members are up to speed with new technologies and trends.
  • Foster a culture of continuous learning and ensure the team is equipped to leverage the latest advancements in AI/ML.
• Reporting & Analytics:
  • Define and implement key performance indicators (KPIs) to track the success of AI/ML and GenAI solutions.
  • Present regular updates to the executive team, including the CTO, on project progress, challenges, and opportunities related to AI/ML and GenAI adoption.

• 10+ years of experience in AI/ML, data engineering, or related fields, with at least 3 years in a leadership role.
• Proven experience leading cross-functional teams in an agile environment, with a strong ability to balance technical execution and strategic vision.
• Expertise in machine learning algorithms, data pipelines, and AI/ML model deployment at scale.
• Solid understanding of Large Language Models (LLMs) and Generative AI (GenAI), and how to integrate these technologies into business operations.
• Strong understanding of cloud technologies (AWS, GCP, Azure) and modern data stack solutions (e.g., Apache Kafka, Snowflake, Redshift).
• Deep knowledge of data engineering best practices, including ETL processes, data warehousing, and data governance.
• Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders.
• Ability to drive change, inspire innovation, and foster a collaborative and results-driven team environment.

• Experience with embedded data engineering, working closely with product development teams.
• Familiarity with data privacy and security regulations (e.g., GDPR, CCPA).
• Background in food-tech, consumer goods, or related industries.

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!

About vidIQ

vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.

Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.

Discover more about vidIQ firsthand at .

About the Team

We're a team of 100+ people. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of highly driven, passionate people can share ideas with each other and do their best work. We are looking for team members who are excellent at their craft, communicate with kindness, and act like OWNERS.

An overview of our technology stack

• Frontend: Typescript, React.js, Next.js

• Backend: Scala /Python/ Node.js

• Infrastructure & CI/CD: Kubernetes, Docker, GitHub, ArgoCD

• Cloud: AWS, GCP

• Databases: PostgreSQL, MongoDB, DynamoDB, OpenSearch

• Data processing: Python, Spark, Kafka, Airflow, Pandas, Numpy

• ML libraries: PyTorch, Hugging Face, sci-kit-learn, Tensorflow, Keras

• ML algorithms: multi-modal LLMs, Diffusion Models, Recommender Systems, ANN

About the Role

We are looking for a highly motivated AI/Machine Learning Engineer, with a background in backend development. In this role, you'll work closely with a cross-functional team to drive product innovation and deliver high-impact results. The ideal candidate will have robust engineering experience, a proactive mindset, and a proven track record in product development. You will be expected to frequently collaborate with key stakeholders, including senior leadership , articulate technical concepts to non-technical audiences, and lead by example in a FAST-PACED , results-oriented environment.

What you will do

• Work closely with Product Managers/Senior Leadership to frame problems within the business context and deliver the highest impact to our users

• Design, implement and ship new features with a high level of responsibility and OWNERSHIP

• Implement scalable solutions to consistently serve a vast global user base

• Help establish architecture based on technology and our needs

• Build, train, and test Machine learning/AI solutions focusing on natural language processing, recommender systems, computer vision

• Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines

• Collaborate closely with Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components

• Participate in code-reviews to ensure code quality and distribute knowledge

• Monitor and troubleshoot existing features and resolve any issues that arise

Your Personal AI is seeking a talented Natural Language Processing (NLP) Engineer to join our AI Research and Development department. As an NLP Engineer, you will play a key role in developing cutting-edge algorithms and models to enhance our AI technology.

• Collaborate with a team of researchers and developers to design and implement NLP solutions

• Utilize machine learning techniques to improve language understanding and processing

• Conduct experiments and analyze data to optimize NLP algorithms

• Stay up-to-date with the latest advancements in NLP and AI technologies

If you are passionate about NLP and have a strong background in machine learning and data analysis, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team that is shaping the future of artificial intelligence.

Job Description

Salary: $85,000 - $100,000

Job Summary

We are seeking a highly motivated AI / ML / LLM Engineer to join our core technology team in Canada. The ideal candidate will have hands-on experience with training, fine-tuning, and deploying machine learning and large language models (LLMs) in real-world healthcare and embedded applications. This role involves working with multimodal data (text, image, time-series), optimizing models for edge deployment (e.g., on Jetson platforms), and collaborating with clinical and engineering teams to develop intelligent decision-support tools.

Key Responsibilities:

Model Development & Training: Design and implement ML models and LLMs for clinical NLP, computer vision, and time-series analysis.

LLM Fine-Tuning & Optimization: Fine-tune transformer-based LLMs (e.g., LLaMA, GPT, BERT) using domain-specific data.

Multimodal Integration: Fuse data from EMR notes, physiological monitors, and video sources to build robust predictive systems.

Edge AI Inference: Optimize and deploy ML/LLM models on edge platforms such as NVIDIA Jetson (Xavier, AGX Orin).

Pipeline Automation: Build scalable training and inference pipelines using PyTorch, TensorFlow, and Hugging Face Transformers.

Evaluation & Validation: Define performance metrics, conduct clinical validations, and refine models for safety-critical environments.

Collaboration & Documentation: Work with firmware, frontend, and clinical teams; maintain technical documentation and research records.

Required Qualifications:

3+ years of experience in AI/ML development, including work on NLP and LLMs

Proficiency in Python, PyTorch, and TensorFlow

Hands-on experience with Hugging Face Transformers, LangChain, or OpenLLM frameworks

Familiarity with NVIDIA CUDA, TensorRT, and ONNX for edge model acceleration

Strong understanding of neural networks, model interpretability, and training workflows

Experience with Git, version control, and collaborative development practices

Solid grasp of medical or clinical datasets (notes, time-series, imaging) preferred

Preferred Qualifications:

Experience deploying models on Jetson platforms (Nano, TX2, Xavier, Orin)

Understanding of HIPAA, PHI, and secure model deployment in healthcare

Knowledge of classical ML algorithms (XGBoost, SVM, clustering) for tabular data

Experience with multimodal model architectures (e.g., vision-language models)

Publications or participation in medical AI challenges (e.g., PhysioNet, MIMIC)

Why Join Us?

Develop impactful AI solutions for neonatal and critical care

Work at the intersection of healthcare, deep learning, and edge computing

Collaborate with top clinicians, engineers, and researchers

Competitive salary, benefits, and the opportunity to shape next-gen AI products

Looking to expand our team with 15 talented PhD Data Scientists for part-time REMOTE work supporting AI research. Projects start at $60-90 USD / hour.

Do you have a PhD in data science or statistics and 5+ years experience at a highly reputable institution (university, company, lab, or government organization)? Are you looking to supplement your income with high-paying, fully-remote freelance projects at the world's top AI research and frontier model companies?

Join our talented community of statistics experts supporting the world's leading AI companies, and be competitively compensated for your hard-earned skills and insights. Statistics projects start at $0 to 90 USD / hour for newly approved experts and scale upwards of 200 USD / hour for our highest performing experts.

Visit Aligned Lab to apply:

About Aligned

At Aligned, we have built a platform that connects the world’s most talented professionals to freelance projects at AI companies in need of their expertise. From doctors and scientists to engineers and business professionals, the Aligned community comprises the top 10% of experts and freelancers in every domain.

Unlike low-skill freelance work on traditional consulting platforms, our community of experts set their own pay and are exclusively matched to the top-paying projects at the world's leading AI research companies.

How it Works

• Sign up at and complete the process to verify your identity and experience.
• Once approved as an expert on our platform, you will become immediately eligible to be assigned to AI projects that match your desired pay rate.
• While the work is highly varied, projects will typically involve creating complex real-world problems in your field from scratch, reviewing AI-generated content, and explaining complicated concepts to non-technical audiences.
• Projects are paid hourly and start at $6 - 90 USD / hour for newly approved experts. You will be paid bi-weekly.

Minimum Qualifications

• You are a native or fluent English speaker and can confidently write at the university level.
• You have a PhD in data science, statistics or related field from a reputable university.
• You have a minimum of 5 years of statistics or data science experience at a highly regarded organization.
• You have proven experience applying data science and/or advanced statistical methods to real-world problems with measurable impact.
• You possess exceptional communication skills, with a proven ability to explain complex concepts clearly to both expert and non-expert audiences.

Benefits

• Competitive Compensation. Set your own rates and work on your own terms.
• Flexible Remote Projects. All jobs are fully remote with flexible hours.
• No-Stress Matching. No need to search for jobs or promote yourself. We do the work.
• Expert Community. Gain access to a network of like-minded experts and professionals.
• Impact on the Future of AI. Regularly contribute to unreleased AI projects at the world's top AI research companies.

Join the Aligned community of global professionals and domain experts powering the technology of tomorrow! Learn more and apply here: