Machine Learning Engineer III - Recommendation System

About Glance AI

Glance AI is an AI commerce platform that redefines e-commerce through inspiration-led shopping. Operating in 140 countries, Glance AI transforms screens into stages for instant, personal, and joyful discovery. It leverages proprietary models, integrated with Google’s advanced AI platforms like Gemini and Imagen on Vertex AI, to deliver hyper-realistic, deeply personal shopping experiences across various categories. Glance AI is built with an open architecture for effortless adoption across hardware and software ecosystems, partnering with leading smartphone makers, connected TV manufacturers, telecom providers, and global brands. Part of the InMobi Group, Glance AI is backed by Google, Jio Platforms, and Mithril Capital.

About Glance - An InMobi Group Company

Founded in 2019, Glance is a consumer technology company operating disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s 'smart lock screen' provides relevant experiences on over 450 million smartphones worldwide. Roposo is a LIVE platform revolutionizing live experiences, while Nostra is India and Southeast Asia's largest gaming platform. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital.

What should you know about joining Glance?

At Glance, we empower our employees to dream big and chase their passion. You’ll have opportunities to make an immediate impact on mission-critical projects, collaborating with highly capable and ambitious peers. We foster autonomy, encourage innovation using bleeding-edge tech, and prioritize the well-being of our team members with daily meals, gym access, trainings, tech tools, and regular unwind sessions. We also offer a family-friendly office environment.

What you will be doing?

Glance is looking for a Machine Learning Engineer III. As an ML Engineer, you will be responsible for contributing to the design, development, deployment, testing, maintenance, and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms, and infrastructure.

Day-to-day activities include:

• Architecting and implementing end-to-end solutions for accelerating experimentation and model building.
• Creation of microservices and APIs for serving ML models and ML services.
• Designing and implementing potential products and proof-of-concepts.
• Working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products.
• Exploring and onboarding new platforms, technologies, and algorithms.
• Managing project priorities, deadlines, and deliverables.

Preferred Qualifications:

• Five+ years' experience working in a ML Engineering role with a proven track record of delivering high-impact ML solutions.
• Bachelor’s degree, Master’s or PhD in computer science, Mathematics, Statistics, or other analytical fields.
• Demonstrated ability to own end-to-end project delivery while maintaining transparent communication.
• Hands-on experience and strong theoretical understanding of Recommender Systems.
• Experience working with Python, Golang, Spark or other open-source software with data science libraries.
• Strong experience in advanced math and statistics.
• Excellence in technical documentation and project leadership, with proven ability to drive results independently with cross-functional teams.
• Experience with being actively engaged in data science or other research-oriented position.