Job Description - SDE 3 (Machine Learning Engineering_Backend)

Groupon is an experienced marketplace that brings people more ways to get the most out of their city or wherever they may be. By enabling real-time mobile commerce across local businesses, live events and travel destinations, Groupon helps people find and discover experiences––big and small, new and familiar––that make for a full, fun and rewarding life. Groupon helps local businesses grow and strengthen customer relationships––resulting in strong, vibrant communities. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success.
 

Groupon, Inc. is looking for a SDE 3 Machine Learning Engineer to join our team in Bangalore, India.

We're a "best of both worlds" kind of company. We're big enough to have resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. We're curious, fun, a little intense, and kind of obsessed with helping local businesses thrive. Does that sound like a compelling place to work?

Role Overview:

We are seeking a skilled SDE 3 MLE and data processing engineer to join our team. In this role, you will play a key part in developing and implementing cutting-edge machine learning algorithms to enhance our products and systems. You will work on both new product design initiatives and improvement projects, utilizing your expertise in Data Science and programming to translate algorithms into efficient and scalable code. Additionally, you will leverage your knowledge of machine learning techniques to analyze data, optimize system performance, and drive innovation across various domains including Natural language processing, artificial intelligence, and image processing.
 

Key Responsibilities:

• To help a team of S/W engineers and Data Scientists/MLEs in developing and integrating software algorithms to Groupon platform

• To structure, analyze, and leverage data in both structured and unstructured environments.

• Utilize machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to enhance product/system performance, quality, data management, and accuracy.

• Translate technical specifications and algorithms into efficient code using Python and Java.

• Conduct testing, debugging, and optimization of algorithms and code to ensure functionality and efficiency.

• Develop pipelines and APIs that utilizes LLMs for production grade products

• Create documentation and procedures for the installation, maintenance, and usage of developed algorithms and software components.

• Apply deep learning technologies to enable computers to visualize, learn, and respond to complex scenarios.

• Collaborate with cross-functional teams to integrate machine learning capabilities into large-scale computing frameworks, data analysis systems, and modeling environments.

Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.

• 5+ years of experience in developing software services & ML modeling

• Proficiency in Python and Java

• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and distributed computing

• Familiarity with large-scale computing frameworks (e.g. Apache Spark)

• Experience in developing RESTful APIs and implementing scalable backend systems

• Experience with distributed systems design and end-to-end feature implementation

• Relevant background in developing, containerizing and deploying ML models is desirable

• Experience in feature engineering, metrics tracking and experimentation is a plus

• Some experience with LLMs (e.g., OpenAI, VertexAI) and AI prompt design

• Proficiency in relevant libraries (e.g., TensorFlow, PyTorch) to develop production-grade products

• Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)

• Excellent problem-solving skills and the ability to work independently and collaboratively

• Good understanding of statistics, linear algebra, and probability theory

Preferred Qualifications:

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or related field

• Knowledge of cloud computing platforms, end-to-end feature development and deployment

Preferred Skill sets:

Artificial Intelligence, Machine Learning, Experimentation, Spark, Python, Java, SQL, CI/CD, Jenkins, Cloud platforms, AWS, GCP, NLP, LLMs, RESTful API, (Un)Supervised Modeling

Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local ecommerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.

Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings, always check our official careers website at grouponcareers.com.