Who we are:

We are a brilliant team making our history to evolve the commerce industry. fabric is the next-generation commerce platform that is designed to provide the commerce services customers expect so they can build world-class experiences, anywhere.

fabric is on a mission to revolutionize commerce for everyone, and we empower businesses that are striving to deliver commerce that drives conversion and customer outcomes. Leading retailers, including Chico’s, Brooklinen, and Ashley’s Furniture, trust fabric to run their modern commerce business. Headquartered in San Francisco, fabric was founded in 2017 by a group of industry veterans determined to bring the same technical principles found at Amazon to retail.

No matter what field you are in, fabric has exciting opportunities for people passionate about making a difference and skilled at what they do!

Here are four questions you should ask yourself:

Do I believe in fabric's mission?
Am I eager to build cool things?
Am I excited to collaborate with brilliant people?
Am I motivated to disrupt e-commerce?

If the answer is yes, we want to talk to you!

Where we hire:

Canada (Toronto & Vancouver)

Your next career:

At fabric, we're building the future of commerce with AI agents that help merchants make and save more money. We’re looking for an AI Engineer to help design, build, and scale agentic AI platform and agents that power our next generation commerce operating system.

You’ll join a small, high-impact team focused on building agentic and intelligent applications from the ground up working closely with the CPTO as well as Head of AI Engineering. This is a great opportunity for someone excited to work across the full product development lifecycle, in a 0-1 environment and contribute to shaping the AI foundation at a well funded startup.

Your Responsibilities:

Contribute to end-to-end AI/ML solutions: Help frame problems, design models, train, evaluate, and deploy AI/ML systems into production.
Develop production-grade pipelines: Implement pipelines for model training, testing, serving, and monitoring.
Apply a variety of AI/ML techniques: From classical supervised/unsupervised learning to deep learning and optimization techniques, depending on the problem at hand.
Help build intelligent data products: Such as recommendation engines, personalization, categorization, search ranking, forecasting, and fraud detection.
Support MLOps efforts: Participate in maintaining infrastructure and tooling to support rapid experimentation and reliable deployment.
Collaborate across teams: Work closely with product managers, designers, and software engineers to build AI agents that solve real world problems.
Stay curious and informed: Explore new tools, libraries, and research to keep improving the quality and performance of our AI systems.

What you bring to the table:

5+ years of experience in applied ML/AI roles, ideally within product-focused environments or high-growth startups.
Proven experience building and deploying ML models for real-world use cases (e.g., recommendations, search, NLP, categorization).
Full-stack ML expertise across:

Data Engineering (feature engineering/ store, distributed data processing).
Modeling (deep learning, classical ML, RL, unsupervised learning).
MLOps (deployment, monitoring, CI/CD, infrastructure).Product Building - building end-end SAAS products.
Strong programming skills using Spark, Python, TensorFlow/PyTorch, MLFlow, Airflow, Docker, Kubernetes, etc.
Experience with Knowledge graphs is a big plus.

Bachelor’s or Master’s degree in Computer Science, Engineering, Econometrics/ Statistics, or related field—or equivalent practical experience.
Passion for building usable, scalable products — not just research or models.
Clear communicator with a collaborative mindset, eager to grow and contribute within a small, fast-paced team.

What we bring to the table:

Competitive compensation packages
PTO and Holiday plans
Benefits packages which include Medical, Dental, Life, and Vision
Wellness & Technology Programs
Retirement Savings Plan
Fast-paced, fun and collaborative environment
A team invested in you both personally and professionally