Staff MLOps Engineer

Job Description

Job Description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.

Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

As a Staff MLOps Engineer at Pattern, you will collaborate with our Data Science and Engineering teams to design, implement, and maintain cutting-edge solutions across the globe. You will oversee the full lifecycle of machine learning models, from traditional models to large language models, driving impactful results for our brands. This role offers an exciting opportunity to play a key leadership role in transforming machine learning theory into operational, real-world solutions.

Teamwork : MLOps is a team sport, and we require a contributor who can elevate everyone in the MLOps organization. While technical skills are required, your communication and teamwork skills will deliver tangible value to our teams as well as elevate the team’s capacity.

Collaboration : Directly work with data science, engineering, and machine learning teams around the world, including evening IST.

Pipeline Management : Architect, implement, and maintain scalable ML pipelines, with seamless integration from data ingestion to production deployment.

Model Monitoring :   Lead the operationalization of machine learning models, ensuring hundreds of models are continuously monitored, retrained, and optimized in real-time environments.

Deployment :   Deploy machine learning platform solutions in the cloud, securely and cost effectively.

Reporting : Effectively communicate actionable insights across teams using both automatic (e.g., alerts) and non-automatic methods.

This is a full-time role based at our Utah headquarters.

What will I need to thrive in this role?

• 3+ years of professional experience with cloud platform (Preferred – AWS, GCP, Azure).
• 4+ years of data science & MLOps experience in cloud environments.
• Experience with cloud MLOps platforms.
• Hungry : The position is for those who want to become an MLOps thought leader, mastering and incorporating the latest best practices into an ML platform?
• Transparent : Willingness to identify and admit errors and seek out opportunities to continually improve both in their own work and across the team.
• Clear Communicator : MLOps is a central node in a complex system. Clear, actionable, and concise communication, both written and verbal is a must.
• Solution-Oriented : We focus on consistently delivering the best solutions with a solutions-oriented positive attitude.
• Strong demonstration of technical expertise in Computer Science, Machine Learning, Data Science, or a related field.
• Multiple years of direct and extensive experience with AWS.
• Multiple years of experience building and managing MLOps platform tools.
• Excited to empower DS with tools, practices, and training that simplify MLOps enough for Data Science to increasingly practice MLOps on their own and own products in production.

Preferred Qualifications

What does high performance look like?

Sounds great! What’s the company culture? We are looking for individuals who are :

What is the hiring process?

How can I stand out as an applicant?

Why should I work at Pattern?

Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include :

Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.