Machine Learning Engineer

FERMÀT enables eCommerce brands to transform clicks into conversions with highly-personalized , 1:1 dynamic shopping experiences.

We've raised $30M+ to date and are backed by Bain Capital Ventures, Greylock, QED, and other top angels and commerce investors. Located in SF, Austin, NYC, and Bangalore, we're looking to expand our 70+ person team to build the future of eCommerce! After announcing our $17M Series A, FERMÀT is one of the fastest growing companies at this stage in the US.

FERMÀT is the leading AI-native funnel management platform built for e-commerce marketers. We empower brands to create and manage delightful customer experiences across multiple channels in minutes. Our platform helps businesses transform their digital presence through intelligent, data-driven funnel creation that strengthens customer acquisition and drives measurable results. With FERMÀT, e-commerce teams can rapidly built, test and iterate on their customer journey while maintaining brand consistency across every touchpoint.

About the Role:

We’re searching for a visionary Machine Learning Engineer to join FERMÀT as the founding member of our AI/ML team. This is your chance to shape Pierre, FERMÀT's AI Agent, from the ground up—an intelligence engine designed to redefine commerce experiences through cutting-edge personalization, automation, and operational insights. In this role, you’ll have the unique opportunity to architect and implement scalable ML solutions, lead research projects, and stay ahead of the curve by experimenting with the latest advancements in AI, including LLMs and chatbots.

As a key contributor to our engineering team, you’ll drive the strategy and hands-on implementation of MLOps pipelines, developing and deploying machine learning models that power AI-driven decision-making across our platform. This role is ideal for someone who thrives in ambiguity, loves tackling complex challenges, and is excited to shape the future of AI-powered commerce. You’ll work in a collaborative, fast-paced environment where your ideas will influence the trajectory of both our product and our company. If you’re passionate about building transformative systems and driving impact at scale, we’d love to hear from you.

Responsibilities:

• Shape FERMÀT's long-term ML/AI strategy and align with the core product roadmap

• Design, develop, and maintain end-to-end MLOps pipelines, from data ingestion to model deployment and monitoring

• Provide technical guidance and feedback on ML projects across the organization

• Experiment with innovative machine learning architectures, incorporating LLMs into traditional ML systems

• Collaborate closely with Data, Product, and Engineering teams to deploy models into production environments

• Evaluate and optimize model performance, scalability, and effectiveness, implementing necessary updates

Requirements:

• 3+ years of experience in traditional machine learning, with exposure to modeling using LLMs

• 4+ years of professional experience in software engineering

• Strong proficiency in Python and Javascript, along with other programming languages commonly used in machine learning

• Expertise in data structures, data modeling, and data visualization, with strong data handling skills

• Solid background in statistical analysis and data analysis for model training and evaluation

• Excellent communication skills for collaborating with stakeholders and translating technical concepts

• Experience in big data processing and feature engineering

• Previous experience in a fast-paced startup environment

• Self-motivated with a strong sense of urgency

• Exceptional problem-solving skills and an aptitude for exploring novel model architectures

• Bachelor’s or master’s degree in computer science, data science, or a related field

Benefits

• Competitive salary + equity package

• Comprehensive health, dental, and vision insurance for you and all your dependents.

• 401(k) plan with 4% matching

• 4 months of paid parental leave

• Unlimited PTO policy (with minimum 5 days PTO / quarter!)

• WFH stipend

• Monthly wellness stipend