Who we are

Imagine working in a place where continuous improvement and innovation is celebrated and rewarded; where fast-paced, high-impact teams come together to positively drive results for one of the largest & most iconic brands in the world.

As the only rapidly growing retailer, you may know us as your friendly neighborhood store. You probably know our familiar name, have seen our pervasive logo, and have tried our highly sought-after products, such as Slurpee and Big Bite. "Brain Freeze" is a 7-Eleven registered trademark for our 53-year old Slurpee and with over 84,000 stores globally (more than any other retailer or food service provider), we sell over 14 million a month.

But there's a lot more to our story and much more left to be written. We are transforming our business, ensuring we are customer obsessed and digitally enabled to seamlessly link our brick and mortar stores with digital products and services.

At 7-Eleven the entrepreneurial spirit is in our DNA and has been ever since our inception 90+ years ago. It's what drove us to invent the convenience industry in 1927 by envisioning how a simple ice dock could provide household staples such as milk and eggs to better serve the needs of our customers.

Today we are redefining convenience and the customer experience in big ways...we are fundamentally changing our culture and we want talented, innovative, customer obsessed, and entrepreneurial people like you to come make history with us.

How we lead

At 7-Eleven we are guided by our Leadership Principles.

Be Customer Obsessed
Be Courageous with Your Point of View
Challenge the Status Quo
Act Like an Entrepreneur
Have an "It Can Be Done" Attitude
Do the Right Thing
Be Accountable

Each principle has a defined set of behaviors which help guide the 7-Eleven team to Serve Customers and Support Stores.

About This Opportunity

EMPLOYER: 7-Eleven, Inc.

JOB TITLE: Staff Engineer-Manager

LOCATION: Irving, TX, and hybrid role, may work from home

DUTIES: Lead a team of Engineers and provide technical leadership to deliver a full or partial business solution. Lead a team of technical experts in machine learning. Define standards for Machine Learning model development, model training and experimentation. Train Machine Learning models for Object detection and Object classification using standard ML frameworks. Solve the product identification problem in AI based self-checkout using combinations of ML models and algorithms to provide 97% accuracy. Train Machine Learning models to segment items on a platform in 2D images and 3D point clouds. Train Machine Learning models to classify item images across several thousand products. Plan, roadmap and delegate Machine Learning and technical deliverables to junior and senior engineers. Review and refine architecture and conduct code reviews. Conduct architecture design sessions with the engineering team. Communicate with technical and non-technical leadership regularly on timelines and deliverables and help the team understand business goals. Actively mentor developers, identifying areas for focus and improvement. Bridge gaps from research prototype to production grade software. Work with machine learning model, applied computer vision, and Python programming. Work with deep learning architectures and models, including either CNN, or Transformer or Transfer Learning, in a production environment using Tensorflow or Pytorch.

REQUIREMENTS: Bachelor's or foreign equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field and 5 years of progressive, post-baccalaureate experience in the job offered or as a Software Developer, Software Engineer, or in a related/similar position. Experience therein to 5 years of experience in each of the following: leading a team of technical experts in machine learning; working with machine learning model; applied computer vision; Python programming, and deep learning architectures and models, including either CNN, or Transformer or Transfer Learning, and working in a production environment using Tensorflow or Pytorch. Experience therein to include 2 years of experience reviewing and refining architecture and conducting code reviews; and bridging gaps from research prototype to production grade software. Hybrid role, ability to work from home.

In lieu of a Bachelor's degree and 5 years of progressive, post-baccalaureate experience, employer will accept a Master's or foreign equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field and 3 years of experience in each of the following: leading a team of technical experts in machine learning; working with machine learning model; applied computer vision; Python programming, and deep learning architectures and models, including either CNN, or Transformer or Transfer Learning, and working in a production environment using Tensorflow or Pytorch. Experience therein to include 2 years of experience reviewing and refining architecture and conducting code reviews; and bridging gaps from research prototype to production grade software. Hybrid role, ability to work from home.

CONTACT: Refer to Job #1888522-W

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