AI / ML Engineer, fabric
CA$135-170k
Modular and headless platform for modern e-commerce
Open for applications
Modular and headless platform for modern e-commerce
501-1000 employees
Open for applications
CA$135-170k
501-1000 employees
Company mission
fabric's mission is to help businesses and people connect through commerce.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
The global e-commerce market is massively on the rise. Driven by changing consumer habits, especially the growth of shopping on mobile devices, the global market grew by almost $3 trillion between 2015 and 2020 and reached roughly $7 trillion in 2025.
Founded in 2017, fabric offers a "headless" commerce platform as a service to retailers, merchandisers, and sellers to streamline their e-commerce operations. The so-called "headless" commerce separates the front- and back-ends of e-commerce websites and applications, which allows brands greater flexibility and faster page loads.
fabric's strategy is focused on technology and innovation, particularly through the use of scalable software and APIs. Targeting brands that are "too big for Shopify" yet "too fast for Salesforce", it is looking to appeal to a niche within the e-commerce market that existing competition hasn't yet taken advantage of.
This approach has attracted a lot of interest, both from brands and investors, leading to major funding rounds in 2021 and 2022. fabric is using these funds to ramp up product development and expand into more markets.
Steph
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$140m
SERIES C
Jul 2021
$100m
SERIES B
Total funding: $292.5m
Company benefits
- Competitive compensation packages
- PTO and Holiday plans
- Benefits packages which include Medical, Dental, Life, and Vision
- Fast-paced, fun and collaborative environment
- A team invested in you both personally and professionally
Company HQ
Pioneer Square, Seattle, WA
Leadership
Mike Micucci
(CEO)Previously COO of Automation Anywhere and was an Advisor at Thankful, Swell and Bluecore.
Salary benchmarks
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