Staff Machine Learning Engineer

Staff Machine Learning Engineer Apply Now ( Save Job Job ID R25 Address 3200 Hackberry Road, Irving, Texas, 75063, United States Location Irving, Texas Staff Machine Learning Engineer, Personalization AI u2013 AI Center of Excellence Overview7-Eleven is looking for a Staff Machine Learning Engineer u2013 Personalization AI to join the AI COE Team At 7-Eleven, weu2019re creating the next generation of convenience, and we know that the best way to do that is with great people. If you get excited about working on challenging problems and owning a solution from concept to implementation, read on. About the job:Youu2019ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day. Staff Engineers at 7-Eleven have a large amount of experience across multiple areas and lead system architecture, guiding developers and communicate progress against the technical roadmap and backlog. They can plan, coordinate, and deliver large tasks spanning multiple systems, and are strong communicators. They actively coach and mentor developers on their development team and can identify and resolve issues with technology and software development processes. As a Staff Engineer, you will not only help teams navigate technical problems, but grow and coach developers on your team to write scalable, resilient, and robust software and systems. Note that most engineers will typically spend up to 30-50% of their time designing and building software, with their remaining time being committed to architecting/planning, mentoring, and technical exploration. Key Responsibilities:As a Staff Machine Learning Engineer specializing in Personalization, you will:u2022 Lead the design, development, and implementation of advanced recommendation systems and algorithms.u2022 Architect, design, develop, and deploy machine learning models that serve real-time recommendations across Digital apps, Marketing etc.u2022 Build and deploy high-impact, robust ML pipelines, including data extraction, feature development, model training, testing, and deploymentu2022 Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across multiple regions and product areasu2022 Ability to conduct thorough exploratory data analysis, identify patterns and trends, and draw meaningful insights.u2022 Learn and partner with peers across multiple disciplines, such as Data Engineering, Product and Platform.u2022 Monitor and maintain production models, ensuring their continued performance and reliabilityu2022 Evaluate and grow technical talent throughout the AI team, with a focus on subject matter expertise.u2022 Represent the AI COE in cross-functional meetings with other technical teams.u2022 Stay up to date with emerging technologies and learn new technologies/libraries/frameworks.u2022 Deliver on time with a high bar on quality of research, innovation and engineering Basic Qualifications:u2022 6+ years of experience working in a technical role, with 2 to 3 years in a senior technical roleu2022 3+ years of experience building AI models and solutions from research to production, using common ML frameworks like Tensorflow and PyTorch.u2022 2+ years of experience reviewing and refining architecture and conducting code reviewsu2022 2+ years of experience leading a team of engineers in a technical lead capacityu2022 Experience with major cloud platforms and building and deploying scalable ML systems.u2022 Bacheloru2019s Degree or higher in Computer Science/Engineering/Math, or relevant experience Extra Credit:u2022 MS or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related fieldu2022 Experience with Databricks.u2022 Experience building personalization models for CRM and digital apps/websites.u2022 Experience building complex customer segments in retail.u2022 Experience delivering production quality systems leveraging emerging technologies If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Companyu2019s sole discretion, consistent with the law. For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link (.