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:

United States (California, Washington, New York, Texas, Massachusetts)

Your next career:

fabric is looking for a Machine Learning Engineer with experience in Deep Learning modeling specializing in retail and commerce optimization.

You will play a pivotal role in developing and implementing advanced machine learning solutions from scratch to enhance the performance, efficiency, and customer experience of our clients. You will work closely with cross-functional teams to design and deploy ML algorithms, models, and systems that drive insights and automation within our platform.

Your Responsibilities:

- Generative AI Development: Lead the research, design, and implementation of Generative AI models with a focus on product recommendation and personalization.

- Algorithm Development: Research, design, and develop machine learning models and algorithms tailored to e-commerce use cases, including recommendation systems, demand forecasting, pricing/inventory optimization, and fraud detection.

- Data Processing:

Analyze large datasets to extract meaningful insights for training and fine-tuning Generative AI models.

- Model Training: Train and fine-tune Deep Learning / Reinforcement Learning / Causal models using state-of-the-art techniques, incorporating both structured and unstructured data sources.

- Model Deployment: Extensive experience working with machine learning / deep learning libraries and toolsets (C++/Java//Python preferred). F

amiliar with AWS or GCP ML tools ensuring scalability, reliability, and real-time performance.

- Continuous Improvement: Monitor model performance, identify areas for improvement, and iterate on existing solutions to enhance accuracy and efficiency.

- Collaboration: Collaborate with software engineers, product managers, and stakeholders to integrate machine learning features into the SaaS platform.

- Research & Innovation: Stay up-to-date with the latest developments in machine learning and e-commerce. To be able to build quick prototypes for multiple use cases to explore green field opportunities across the ecommerce space

- Documentation: Maintain detailed documentation of ML models, processes, and solutions for future reference.

What you bring to the table:

- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.

Proven experience (5+ years) in designing and implementing Generative AI models, preferably in the e-commerce or retail domain.

- Proficiency in programming languages such as Python and familiarity with ML libraries/frameworks like TensorFlow, PyTorch, scikit-learn, etc.

- Solid understanding of statistical modeling and data analysis techniques.

- Experience in working with e-commerce-related large data (TB+ preferred) and concepts.

- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

- Excellent communication skills to explain complex technical concepts to non-technical stakeholders.

- Knowledge of cloud platforms like AWS, Azure, or GCP.

The base salary for this role will be between USD 150k to USD 204k.

Additional Information

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

- 401k Program

- Fast-paced, fun and collaborative environment

- A team invested in you both personally and professionally

*fabric is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.

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Fabric

Senior Machine Learning Engineer