Sr. Machine Learning Engineer I

United States

Yum! Brands

KFC, Pizza Hut, Taco Bell

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As a Sr. Machine Learning Engineer, you’ll be joining a team in developing and deploying high performance machine learning applications in the cloud and on the edge. You’ll be working on developing LLM based voice assistants for various use cases: telephony environment/drive through/ordering kiosk. You will contribute to design, implementation, deployment and monitoring of the solutions.

Key responsibilities

· Design and develop applications utilizing machine learning models to solve specific business or operational problems.

· Contribute to system design and architecture and scaling for cloud and edge ML applications

· Develop ML applications: backend, cloud, deployment, observability

· Optimize performance/latency/cost of the application

Qualifications

· Our ideal candidate would have 3-6 years' experience of building software applications.

· Strong programming skills in Python – Other languages like C, C++, Java, Go, NodeJS are well regarded but most of the coding will be done in python.

· Experience in concurrent programming

· Experience with large scale deployments

· 2+ years of experience developing cloud applications (AWS/GCP/Azure)

Preferred Qualifications

· Experience building LLM based applications

· Experience building audio/voice/telephony applications

· Experience working in a Linux environment

· Experience with SQL and NoSQL databases

· Knowledge and experience in security, encryption and authentication methods

The Yum! Brands story is simple. We have the four distinctive, relevant and easy global brands – KFC, Pizza Hut, Taco Bell and The Habit Burger Grill -- born from the hopes and dreams, ambitions and grit of passionate entrepreneurs. And we want more of this to create our future!

As the world’s largest restaurant company we have a clear and compelling mission: to build the world’s most love, trusted and fastest-growing restaurant brands. The key and not-so-secret ingredient in our recipe for growth is our unrivaled talent and culture, which fuels our results.

We’re looking for talented, motivated, visionary and team-oriented leaders to join us as we elevate and personalize the customer experience across our 48,000 restaurants, operating in 145 countries and territories around the world!

We put pizza, chicken and tacos in the hands of customers through customized ordering, unique delivery approaches, app experiences, and click and collect services and consumer data analytics creating unique customer dining experiences – and we are only getting started.

Employees may work for a single brand and potentially grow to support all company-owned brands depending on their role. Regardless of where they work, as a company opening an average of 8 restaurants a day worldwide, the growth opportunities are endless. Taco Bell has been named of the 10 Most Innovative Companies in the World by Fast Company; Pizza Hut delivers more pizzas than any other pizza company in the world and KFC’s still use its 75-year-old finger lickin’ good recipe including secret herbs and spices to hand-bread its chicken every day.

Yum! and its brands have offices in Chicago, IL, Louisville KY, Irvine, CA, Plano, TX and other markets around the world. We don’t just say we are a great place to work – our commitments to the world and our employees show it. Yum! has been named to the Dow Jones Sustainability North America Index and ranked among the top 100 Best Corporate Citizens by Corporate Responsibility Magazine in addition to being named to the Bloomberg Gender-Equality Index. Our employees work in an environment where the value of “believe in all people” is lived every day, enjoying benefits including but not limited to: 4 weeks’ vacation PLUS holidays, sick leave and 2 paid days to volunteer at the cause of their choice and a dollar-for-dollar matching gift program; generous parental leave; competitive benefits including medical, dental, vision and life insurance as well as a 6% 401k match – all encompassed in Yum!’s world-famous recognition culture.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure CX Data Analytics GCP Java Linux LLMs Machine Learning ML models Node.js NoSQL Python Security SQL

Perks/benefits: 401(k) matching Career development Health care Medical leave Parental leave Startup environment

Region: North America
Country: United States

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