Pizza Hut

Machine Learning Engineer II

Pizza Hut$105K — $132K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in computer science, engineering, mathematics, or a related field.
  • 4+ years of experience developing and deploying machine learning applications in production.
  • Proficiency in Python with strong software engineering skills.
  • Experience with message queue technologies such as Kafka or RabbitMQ.
  • Knowledge of containerization with Docker and Kubernetes.
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills for dynamic collaboration.

Responsibilities

  • Collaborate with teams to identify opportunities for machine learning applications.
  • Design, develop, and deploy scalable machine learning models.
  • Optimize existing models for efficiency and performance.
  • Build data pipelines to support machine learning in production.
  • Automate deployment processes with DevOps collaboration.
  • Stay updated on emerging technologies in machine learning and cloud computing.

Benefits

  • Medical, dental, and vision insurance coverage.
  • Short-term and long-term disability insurance.
  • Life insurance options available.
  • 401(k) retirement plan participation.
  • Generous vacation policy including 4 weeks of vacation and paid sick leave.
  • 10 paid holidays and a floating day off annually.
  • Half-day Fridays year-round and 2 volunteer paid days.
Full Job Description
Job Description

Hybrid onsite requirement in either Plano, TX - Irvine, CA - Louisville, KY

Position Overview:

We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team at Yum Brands. As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management.

Responsibilities

Key Responsibilities:
  • Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
  • Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
  • Optimize machine learning models for performance, scalability, and efficiency.
  • Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
  • Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
  • Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.


Qualifications

Qualifications:
  • Bachelor's or master's degree in computer science, engineering, mathematics, or a related field.
  • Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real-world business applications.
  • Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
  • Proficiency in message queue technologies and services like Kafka, Pulsar, or RabbitMQ and experience working with real-time data streaming.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced and dynamic environment.


Nice to Have:
  • Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
  • Experience with cloud computing platforms such as AWS, Azure, or GCP.
  • Experience with version control systems, such as Git.


Salary Range: 105,500 - 132,200

Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year. To learn more about working at Yum! -Click here.

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