{"id":2917897,"url":"https://alion.io/job/glance-staff-applied-scientist-i","title":"Staff Applied Scientist - I","company":{"id":59385,"name":"Glance","domain":"glance.com","url":"https://alion.io/company/glance-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":72,"open_postings":34,"ghost_share":0.471,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":107000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"NumPy","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"SciPy","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-01-29T03:55:22Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-22T12:15:19Z","board_verified":true,"closed_at":null,"days_open":266,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":266},"description":"Glance\nGlance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV - shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.\nInMobi \nInMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses - including InMobi Advertising and flagship consumer platform Glance - InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.\nInMobi Advertising\nInMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach - including flagship consumer platform Glance - InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.\nWhat you will be doing\nWe are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems.\nYou will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.\nYour responsibilities will include:\nClassical ML & Recommendation Systems\nDesign and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.\nBuild and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.\nDevelop rapid experimentation workflows to validate hypotheses and measure real-world business impact.\nOwn data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.\nMonitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.\nAgentic Systems & Next-Gen AI\nBuild and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.\nApply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.\nDesign intelligent agents that can automate repetitive decision-making tasks-e.g., candidate generation tuning, feature selection, or context-aware content curation.\nExplore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.\nCross-functional impact\nCollaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance’s consumer experiences.\nContribute to Glance’s ML/AI thought leadership-blogs, case studies, internal tech talks, and industry conferences.\nThrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.\nPlus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.\nThe experience we need\nWe are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.\nYou should have experience with:\nLarge-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).\nClassical ML and deep learning techniques across NLP, sequence modeling, RL, clustering, and time series.\nExperience in deploying ML workflows/models in production system\nBig data processing (Spark, distributed data systems) and cloud computing.\nDesigning end-to-end ML solutions-from prototype to production.\nPlus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).\nWe value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.\nQualifications\nBachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.\n6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.\nExperience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.\nExpertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.\nProficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).\nStrong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).\nComfortable working in cross-functional teams.\nFamiliarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).\nExcellent communication skills with the ability to simplify complex technical concepts.\n\"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.\"","description_format":"text","description_chars":6425,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Digital Media","Social Commerce"],"lifecycle":[{"event":"open","at":"2026-10-20T11:07:13Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":266,"expected_fill_days":37,"reasons":["conf:1","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/glance-staff-applied-scientist-i","json_url":"https://alion.io/job/glance-staff-applied-scientist-i.json","meta":{"generated_at":"2026-10-22T14:01:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13477,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59385},"rest":"https://alion.io/mcp/rest/get_company?id=59385"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglance-staff-applied-scientist-i"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fglance-staff-applied-scientist-i"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fglance-staff-applied-scientist-i"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/glance-staff-applied-scientist-i\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglance-staff-applied-scientist-i"}]}