{"id":924087,"url":"https://alion.io/job/inmobi-machine-learning-engineer-ad-sciences","title":"Machine Learning Engineer – Ad Sciences","company":{"id":1289,"name":"InMobi","domain":"inmobi.com","url":"https://alion.io/company/inmobi","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":28,"ghost_share":0,"stale_share":0.321,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":172500,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"DeepSpeed","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TPU","optional":false},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"ONNX","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Spark","optional":true},{"name":"TensorRT","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-09-14T19:28:47Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-11-03T18:04:23Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":49},"description":"InMobi (Corporate)\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.\nGlance\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.\nOverview of the Role:\nWe are looking for a Machine Learning Engineer to develop and optimize our ad science models, open-source LLMs, and the underlying infrastructure that powers them - with a constant eye toward performance and cost.\nAI and ML sit at the core of InMobi's business, and our science teams are tackling some of the field's most interesting problems: creative optimization, user personalization, targeting, yield management, traffic shaping, and more. We're moving fast and deep into architectural research, generative AI adoption, compute scaling on the latest accelerators (GPUs/TPUs), and advances in reinforcement learning.\nYou'll join a team of experienced researchers and engineers who have been pushing the boundaries of ad science research for over a decade, working closely with data and platform engineering to build solutions that scale and serve the needs of every science team across the organization. This is a chance to shape the infrastructure and models behind ad intelligence operating at truly massive scale.\nThe Impact You'll Make:\nBuild and support training pipelines and model implementations that maximize experimentation velocity\nAdapt open-source LLM infrastructure like DeepSpeed and OpenRLHF to meet InMobi-specific post-training needs\nOptimize online and batch inference for low latency and cost efficiency\nBuild monitoring and evaluation solutions that keep our infrastructure reliable and our models behaving as expected\nLeverage the breadth of data features across our product portfolio to strengthen our data pipelines and unlock new features for training and inference\nExplore new platforms and ecosystems (e.g., JAX on TPUs) to help diversify our compute\nCollaborate closely with Applied Scientists on active research, contributing directly to experiment design and modeling\nThe Experience We Need:\nMaster's degree in machine learning or a related field required; a PhD is a plus\nAt least 3 years of experience as a Machine Learning Engineer, building state-of-the-art machine learning/deep learning systems at extreme scale\nExpertise in large-scale distributed data systems, including high-performance relational and key-value stores, orchestrators like Airflow, and data transformations in Spark\nExpertise in Python; familiarity with Java (especially in high-performance serving systems) is a plus\nExpertise in PyTorch or a similar ecosystem\nExperience with accelerator-based inference systems such as Triton, and optimization backends like ONNX and TensorRT\nExperience with cloud platforms and container orchestration using Kubernetes\nKnowledge of deep recommender systems, including two-tower and attention-based architectures, is a plus\nKnowledge of reinforcement learning systems - including RL approaches, reward signals, and post-training feedback loops - is a plus\nUnderstanding of the ads ecosystem (OpenRTB, SSPs, DSPs, ad exchanges, MMPs) is a plus\nAt InMobi, you’ll be surrounded by people who…\nThink big and act fast: We’re entrepreneurial, thrive in ambiguity, and love solving high-impact problems\nAre passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential\nOwn their outcomes: We take responsibility, make bold decisions, and execute with confidence\nEmbrace freedom with accountability: We value autonomy and understand that trust comes with responsibility\nBelieve in lifelong learning: We welcome feedback, challenge ourselves to grow, and aren’t afraid to take smart risks\nAward-winning culture, best-in-class benefits\nOur compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation based on a wide variety of factors, including role, nature of experience, skills, and location. \nThe base (fixed) salary for this role ranges from $172,500 to $210,000 USD (min to max of base salary pay range). This salary range applies to our offices in California and New York*.\n*Our ranges may vary based on the final location and region of the role in accordance with the geographical differentiation in pay scales in the country.\nIn addition to cash compensation, based on the position, an InMobian can receive equity in the form of ESOPs (Employee Stock Option Plan). We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stock to you. Ownership of stock enables us to treat our employer company as our own and base our decisions on the company’s best interests. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution.\nA quick snapshot of our benefits:\nCompetitive salary and ESOP grant (where applicable) \nHigh-quality medical, dental, and vision insurance (including company-matched HSA) \n401(k) company match \nGenerous combination of vacation time, sick days, special occasion time, and company-wide holidays \nSubstantial maternity and paternity leave benefits and a compassionate work environment \nFlexible working hours to suit everyone \nWellness stipend for a healthier you! \nFree lunch provided in our offices daily \nPet-friendly work environment and robust pet insurance policy - because we love our animals! \nEmployee Assistance Program (EAP)\nIf this sounds like the kind of team, role, values, benefits, and challenges that excite you, we’d love to hear from you. Go for it!\nInMobi is an equal opportunity employer \nInMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. \nInMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. \nThe InMobi Culture\nAt InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.\nWe thrive on challenges and seize every opportunity for growth. Our core values - thinking big, being passionate, showing accountability, and taking ownership with freedom - guide us in every decision we make.\nWe believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.\nInMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.\nVisit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!","description_format":"text","description_chars":8917,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Flexible schedule","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Advertising"],"lifecycle":[{"event":"open","at":"2026-09-15T04:43:56Z"},{"event":"close","at":"2026-10-02T07:40:39Z"},{"event":"reopen","at":"2026-10-05T21:19:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3 · green card filings: 2","filings_12m":3,"filings_prev_12m":6,"green_card_filings_12m":2,"median_offered_wage_usd":192500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.815,"p_room":0.75,"age_days":49,"expected_fill_days":55,"reasons":["conf:0","velocity","win:late"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":true},"html_url":"https://alion.io/job/inmobi-machine-learning-engineer-ad-sciences","json_url":"https://alion.io/job/inmobi-machine-learning-engineer-ad-sciences.json","meta":{"generated_at":"2026-11-03T21:20:15Z","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":427,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":1289},"rest":"https://alion.io/mcp/rest/get_company?id=1289"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finmobi-machine-learning-engineer-ad-sciences"},{"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%2Finmobi-machine-learning-engineer-ad-sciences"},{"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%2Finmobi-machine-learning-engineer-ad-sciences"},{"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/inmobi-machine-learning-engineer-ad-sciences\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finmobi-machine-learning-engineer-ad-sciences"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":924087}},{"tool":"search_jobs","arguments":{"company":"inmobi.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":924087},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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