$50,000 – $120,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, RetailIndustries

Sr. AI Engineer

Salary: $50,000 - $120,000 per year (Gross in USD) Location Type: Employment Type:

About Sezzle:

Sezzle's mission is to financially empower the next generation by revolutionizing the shopping experience beyond payments. We blend cutting-edge technology with seamless, interest-free installment plans, making 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—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.

Responsibilities:

  • 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 Cross-Departmental AI Utilization: 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.

Minimum Requirements:

  • 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 experience in building and deploying models in production environments.

Skills

Machine Learning
MLOps
Python
Cloud Services
Data Science
Recommendation Systems
Fraud Detection
Credit Risk Assessment
Algorithm Development

Sezzle

Buy now, pay later payment solutions

About Sezzle

Sezzle operates in the buy now, pay later (BNPL) market, allowing consumers to purchase products and split the cost into four interest-free payments. This service is designed to help younger consumers manage their finances by providing flexible payment options. For merchants, Sezzle offers a payment solution that can increase sales and reduce cart abandonment rates. The company generates revenue primarily through fees charged to merchants for processing transactions, which are justified by the increased customer acquisition and sales that merchants experience. Sezzle is committed to creating a positive societal impact as a Public Benefits Corporation and a Certified B Corp. With 3.4 million active consumers and nearly 47,000 active merchants, Sezzle has reported significant growth, with $1.8 billion in underlying merchant sales in the past year. The goal of Sezzle is to empower the next generation financially while facilitating transactions between consumers and merchants.

Minneapolis, MinnesotaHeadquarters
2016Year Founded
$201MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
201-500Employees

Benefits

Comprehensive Benefit Plans
Generous Parental & Family Leave
Competitive 401k Match
Paid Time Off & Volunteer Time Off
Ownership Through Equity
100% of Donations to Charity Matched
Work from Home Stipend
Highly Discounted Fitness Membership

Risks

Increased regulatory scrutiny on BNPL could impact Sezzle's operations and growth.
Edelson Lechtzin LLP's investigation may lead to legal challenges for Sezzle.
Staples' partnership with Klarna intensifies competition in the BNPL market.

Differentiation

Sezzle is a Certified B Corp, emphasizing social impact alongside business goals.
The company offers interest-free payment plans, appealing to younger, budget-conscious consumers.
Sezzle's platform reduces cart abandonment, benefiting merchants with increased sales.

Upsides

Sezzle's partnership with Bealls Inc. expands its reach across 650+ stores.
The BNPL market is growing, with over 20% of consumers using BNPL in 2022.
Fintech IPO Index's 64% return indicates a favorable investment climate for Sezzle.

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