Principal Machine Learning Engineer, Sezzle
Remote
Buy now, pay later solution platform
Job no longer available
Buy now, pay later solution platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To empower the next generation with interest-free instalment plans that enhance purchasing power online and in-store.
Role
Who you are
- 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
- 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
- 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 the job involves
- We are seeking a highly-experienced engineer to join our core AI/ML team, 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
- 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
Our take
More and more people are looking to "Buy Now Pay Later" (BNPL) solutions to increase their purchasing power. Sezzle is one of a raft of companies offering interest-free payments solutions.
Sezzle was launched with the intention of giving ordinary people more financial agency. The platform offers consumers rapid approval decisions, and loans do not affect their credit score. What's more, users can opt-in to an innovative credit building service. Sezzle has further consolidated its market position by partnering with other companies, including customer service platform Klaviyo.
The prevalence of BNPL solutions has increased hugely in recent years, and Sezzle's main challenge will be competing with rival providers, including Klarna and PayPal. Post IPO, Sezzle experienced a market contraction in 2025 after questions were raised over its business model's sustainability, so it'll be interesting to see how the company responds and continues its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Apr 2019
$5.7m
EARLY VC
Nov 2018
$100m
LATE VC
Total funding: $116.7m
Company 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
- Remote Friendly Company
- Highly Discounted Fitness Membership
Company HQ
Downtown West, Minneapolis, MN
Leadership
Charlie Youakim
(CEO)Prior to Sezzle, Charlie founded Passport where he served as the co-CEO for nearly 6 years.
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