Job Title

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 Chicos, Brooklinen, and Ashleys 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:United States - Please note, we're limited to hiring in the following states:California, Washington, New York, Texas, MassachusettsCanada - Please note, we're limited to hiring in the following provinces:At fabric, were on a mission to redefine the future of commerce with intelligent AI agents that empower merchants to grow smarter, faster, and more profitably. Were seeking an AI Engineer whos passionate about innovation to help architect and scale the agentic AI platform at the heart of our next-generation commerce operating system.Youll join a small, high-impact team focused on building agentic and intelligent applications from the ground up working closely with the CPTO and reporting to our 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 - What you will do: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.Qualifications - 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:Modeling - deep learning, classical ML, RL, unsupervised learning.Product Building - building end-end SaaS products.Experience with Knowledge graphs is a big plus.Bachelors or Masters degree in Computer Science, Engineering, Econometrics/ Statistics, or related fieldor equivalent practical experience.Clear communicator with a collaborative mindset, eager to grow and contribute within a small, fast-paced team.Passion for building usable, scalable products not just research or models.Canadian locations: The base salary for this role is between CAD $135K to 170K annually.United States locations: The base salary for this role is between USD $150K to 190K annually.The annual base salary range for this full-time position reflects the minimum and maximum target salaries for the position across all locations listed. Actual pay may vary, depending on qualifications, experience and location. In addition, this role may be eligible for an annual bonus, equity options, and company benefits (your recruiter can share more details during the hiring process). Final offer amounts may vary from the amounts listed above.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 professionallyResearch & DevelopmentRemote (California, US)Remote (Washington, US)Remote (Texas, US)Remote (Massachusetts, US)Remote (New York, New York, US) #J-18808-Ljbffr