ApplySarthiSDE II - ML
Glance
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This role on the market
128 open sde roles across 34 companies are on ApplySarthi right now, most of them in Bengaluru (37), Hyderabad (9), Lucknow (5).
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What sde roles keep asking for: Java (32%), C++ (25%), AWS (23%), Python (23%), CI/CD (19%), C# (16%), Machine learning (16%), Perl (16%) — counted across their open postings here.
Software Development Engineer jobs in Bengaluru · Software Development Engineer jobs in India · Remote Software Development Engineer jobs · Java jobs · Machine learning jobs · Python jobs
Glance has 42 open roles listed here.
- Consultant - AI Governance Specialistbengaluru
- SDE III - Machine Learningbengaluru
- Product Analyst IIbengaluru
- Senior Manager — Integrated Consumer Marketing
- Group Product Manager - U.S. Growth
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for sde roles keep coming back to Java, C++, AWS, Python. Practise those questions before you sit with Glance.
Questions you are likely to be asked
- Why do you want to join Glance?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the SDE II - ML at Glance interview free →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 categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.
With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It 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.
Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. 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.
About the Role
We are looking for an SDE 2, Machine Learning to help build the core systems behind Glance's AI shopping agent. In this role, you will work on low-latency ML inference platforms, automated evaluation harnesses, and rapid 0→1 prototyping for new AI shopping features. You will also partner directly with applied scientists and backend engineers to take experimental ML models into reliable production environments.
What You Will Own & Build
- ML Inference Platform: Build and scale systems running recommendation inference, vector search, feature store queries, and real-time data updates.
- Evaluation Harness: Develop automated offline and online evaluation frameworks, regression tests, and latency/cost tracking tools to evaluate model releases.
- Rapid Prototyping: Rapidly prototype and test new engineering ideas for the Glance AI shopping agent, turning promising concepts into scalable platform components.
- System Performance: Optimize throughput and reduce serving latency across CPU and GPU clusters for high-volume ML workloads.
What We Are Looking For
- Engineering Foundations: Strong coding skills in Python or Java, with solid background in distributed systems.
- ML Serving & Tools: Hands-on experience with model serving tools (Triton, vLLM, TorchServe), vector databases (Qdrant, Faiss), feature stores & databases.
- Evaluation Systems: Experience building testing pipelines, regression suites, or shadow deployment setups for ML services.
- Execution & Ownership: Comfortable navigating technical ambiguity, moving quickly, and shipping code in fast-paced teams.
You might thrive in this role if you have:
- BTech or MTech in Computer Science, Machine Learning, or a related technical field.
- 3+ years of software engineering experience, with 2+ years focused on ML infrastructure, model serving, or recommendation systems.
- Hands-on experience deploying recommendation pipelines, vector search, or feature stores to production.
- Proficiency in Python, system profiling, and query performance tuning.
- Experience setting up model monitoring and maintaining high-throughput production ML systems.
- Ability to collaborate closely with Applied Science teams to turn models into production services.
- Self-directed, curious, and comfortable building solutions from 0→1.
"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email."
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Listed on greenhouse · posted 2026-09-21. ApplySarthi collects openings and links to application pages; the role is advertised by Glance, not by us.