Machine Learning Engineer III

Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment.

Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across fashion, beauty, travel, accessories, home décor, pets, and more. With an open architecture designed for effortless adoption across hardware and software ecosystems, Glance AI is building a platform that can become a staple in everyday consumer technology.

Glance AI partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers and global brands, meeting people where they are: on mobile, smart TVs and brand websites. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms and Mithril Capital.

What you will be doing?

Glance is looking for a Machine Learning Engineer.

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.

We are looking for candidates with an enthusiasm for tackling audacious challenges, the ability to take ownership of end-to-end solutions, and a passion for elegance in deep problem solving.

Preferred Qualifications:

• Five+ years' experience working in a ML Engineering role with 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.

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