Sr. AI Engineer - Marketing

ID: 9192

Type: Full-time

Category: Others

Company Name: Sezzle

Location: Brazil

Salary: 50 - 120K yearly

Education Level: Senior (5-10 years)

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Job Description

The salary range for this role is $50,000 - $120,000 per year (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
Proficiency with Python is required, and experience with Golang is a plus.
Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
Experience working with relational databases, data warehouses, and using SQL to explore them.
Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
You earn trust - you listen attentively, speak candidly, and treat others respectfully.
You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

Company Information

Company Name: Sezzle

Company Website: https://www.sezzle.com

Company Address: Minneapolis, Minnesota, USA

Sezzle is a financial-technology company that provides point-of-sale payment solutions enabling consumers to make purchases immediately and pay over time through short-term, interest-free installment plans. Operating as a payments platform and merchant partner, Sezzle’s core proposition is to increase consumer purchasing power and conversion for online and in-store merchants by offering a buy-now-pay-later (BNPL) option at checkout. The company positions itself within the payments and fintech sectors, delivering both consumer-facing tools and merchant-facing integration, risk management, and settlement services. Company overview Sezzle offers a payments platform that integrates directly into merchant checkout experiences and into consumer payment flows via a dedicated app and customer accounts. For consumers, the service enables purchases to be split into multiple, typically four, interest-free installments paid over a short period (commonly six weeks), subject to approval. For merchants, Sezzle provides a turnkey integration that appears as a payment option at checkout, along with back-office merchant services including transaction settlement, reporting, fraud detection, and customer support related to installment payments. The platform is designed to help merchants increase order sizes and conversion rates by providing shoppers with an alternative to traditional credit-based financing. Core business activities Sezzle’s primary activities center on (1) underwriting and servicing consumer installment plans at the point of sale, (2) integrating its payment option into e-commerce platforms and point-of-sale systems for merchants, and (3) providing merchant services for settlement, reporting, and analytics. The company develops and maintains integrations and plugins for major e-commerce platforms, enabling merchants to deploy Sezzle as a payment method with minimal technical overhead. On the consumer side, Sezzle operates an account and application infrastructure that handles customer onboarding, transaction approvals, installment scheduling, payments collection, and account management. The company also invests in fraud prevention and credit-risk assessment tools to manage delinquency and protect merchant and platform exposures. Main products and services - Buy-Now-Pay-Later (BNPL) instalment plans: Sezzle’s core product allows customers to split purchases into a series of interest-free payments. The installment structure, timing, and approval criteria are presented at checkout. Sezzle assumes the purchase risk and pays merchants upfront (or on an accelerated schedule), enabling merchants to receive full or near-full payment while the consumer repays Sezzle over time. - Merchant integrations and platform plugins: Sezzle provides prebuilt integrations and developer APIs for popular commerce platforms to enable simple activation of the payment option on merchant websites and physical checkout systems. These integrations typically include a merchant dashboard for transaction management, settlement reconciliation, reporting, and performance analytics. - Consumer account and app: Consumers can create Sezzle accounts through the merchant checkout flow or the Sezzle mobile/web app. Account features include payment scheduling, payment method management, purchase history, and notifications. The platform also offers features intended to help consumers manage installment payments and avoid late fees. - Merchant services and funding: Sezzle provides financial settlement services to merchants, transferring funds for approved purchases according to contracted timelines. The company’s revenue model for merchants generally includes merchant fees charged per transaction in exchange for assuming risk and providing the payment service. Sezzle also supplies merchants with tools and reporting to monitor key performance indicators tied to the BNPL offering. - Risk management and fraud prevention: A crucial element of the Sezzle platform is its underwriting and fraud-detection capability, which reviews consumer applications and transaction patterns in real time to make approval decisions and mitigate losses. Sezzle’s risk infrastructure is built to balance consumer accessibility with protections for merchants and the platform itself. Market presence and channels Sezzle’s primary channels are e-commerce merchants and direct-to-consumer adoption via its app and checkout integrations. The company partners with a diverse range of retailers across categories such as apparel, electronics, health and beauty, and specialty retail. Sezzle’s payment option can be presented across desktop and mobile checkout flows as well as integrated into certain in-store point-of-sale systems when merchants enable support for BNPL at physical locations. The platform emphasizes seamless checkout UX to reduce friction for conversions. Business model and revenue Sezzle’s revenue is principally derived from merchant fees charged when consumers use its installment product, and from consumer fees in specific circumstances (for example, late fees where applicable under the company’s terms). By assuming the credit risk for installment payments, Sezzle provides value to merchants in the form of higher conversion and average order value, while collecting fees to compensate for underwriting risk and operational costs. The company also derives value from merchant analytics and platform services that support merchant adoption and retention. Compliance, partnerships, and ecosystem Sezzle operates within regulated payments and consumer-finance frameworks and works with payment processors, banks, and merchant partners to deliver its service. The company typically emphasizes partnerships with commerce platforms and payment gateways to increase distribution. As a payments provider, Sezzle implements compliance controls, identity verification, and data-protection measures consistent with industry expectations for handling consumer payment information. Overall, Sezzle is a technology-driven BNPL payments provider that combines consumer-facing installment products with merchant integration and services. Its platform is intended to simultaneously expand consumer purchasing options and provide merchants with a payment alternative designed to boost conversion and sales while managing payment risk through underwriting and fraud prevention capabilities.

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