{"id":1575876,"url":"https://alion.io/job/pressroom-senior-machine-learning-engineer-hyderabad","title":"Senior Machine Learning Engineer, Hyderabad","company":{"id":21042,"name":"Warner Bros. Discovery","domain":"wbd.com","url":"https://alion.io/company/warner-bros-discovery","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":18,"ghost_share":0,"stale_share":0.944,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Feature Store","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"XGBoost","optional":false},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-20T17:30:06Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Welcome to Warner Bros. Discovery… the stuff dreams are made of.\nWho We Are…\nWhen we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…\nFrom brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.\nSenior Machine Learning Engineer, Hyderabad\nAbout Warner Bros. Discovery:\nWarner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.\nFor more information, please visit www.wbd.com.\nMeet our Team\nWarner Bros. Discovery (WBD) brings together iconic entertainment, news, and sports brands including HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, and Food Network. Within the SPARK organization, our Hyderabad Machine Learning Engineering team turns first-party audience signals into ML capabilities for identity, audience intelligence, advertising, personalization, forecasting, engagement, and retention.\nAt WBD, MLEs do rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure - feature stores, training and serving pipelines, and MLOps - that makes our work reliable, repeatable, and scalable. We build primarily on Databricks, with strong working knowledge of Snowflake and AWS, and we are an early, enthusiastic adopter of agentic AI development workflows.\nAbout the Role\nWarner Bros. Discovery (WBD) brings together iconic entertainment, news, and sports brands including HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, and Food Network. Within the SPARK organization, our Hyderabad Machine Learning Engineering team turns first-party audience signals into ML capabilities for identity, audience intelligence, advertising, personalization, forecasting, engagement, and retention.\nAt WBD, MLEs do rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure - feature stores, training and serving pipelines, and MLOps - that makes our work reliable, repeatable, and scalable. We build primarily on Databricks, with strong working knowledge of Snowflake and AWS, and we are an early, enthusiastic adopter of agentic AI development workflows.\nWhat You’ll Do\nTechnical Leadership & Architecture\nDesign and operate low latency online serving systems for fraud scoring, message decisioning and real-time personalization\n\nBuild ML models for identity resolution, audience intelligence, content affinity modeling, genre-preference modeling and time-series forecasting across global markets\n\nIntegrate with personalization systems to consume in-app user signals\n\nDesign feature pipelines that fuse real-time streaming signals with batch-computed features for online scoring\n\nPartner with Product, Engineering, and Data Science to translate business problems into well-scoped ML solutions\n\nEvaluate new technologies and approaches, including DCR-native modeling, graph ML, agentic ML orchestration, and LLM-augmented pipelines, with clear build/buy/partner recommendations.\n\nProduction ML Systems\nArchitect probabilistic identity resolution systems that connect unauthenticated device IDs and first-party cookies to households/persons with calibrated confidence across WBD brands.\n\nLead the evolution of Audience Intelligence, including ML Promo Optimizer, STAT v2, lookalike modeling inside Snowflake DCR, and content segmentation.\n\nOwn ML architecture for forecasting use cases such as audience growth, demand, yield, and pricing, ensuring models are monitored and continuously improved.\n\nBring ML personalization signals, such as genre/content affinity and engagement trends, into batch and future real-time activation paths.\n\nExperimentation, Quality & Observability\nDesign offline and online evaluation approaches with clear baselines, success metrics, experiment design, and promotion criteria.\n\nImprove feature and label quality, leakage prevention, bias checks, calibration, explainability where applicable, and impact measurement.\n\nIdentify technical risks early, document tradeoffs, and drive mitigation plans with engineering, data, product, and business partners.\n\nTurn incidents and postmortems into reusable standards, automated checks, and platform improvements.\n\nCross-functional Partnership & Mentorship\nMentor MLE 2 engineers through architecture reviews, design discussions, implementation guidance, and hands-on problem solving.\n\nPartner with the ML leads on technical roadmap shaping, execution planning, capability development, and technical input into hiring profiles.\n\nRepresent the Hyderabad team in technical forums with ML, Data Engineering, Product, Ad Sales, and US-based stakeholders.\n\nCreate clear design docs, architecture reviews, readiness reviews, and postmortems that strengthen engineering culture.\n\nWhat You’ll Bring:\n5 - 8 years of ML engineering experience, or 2+ years with a Ph.D., with demonstrated Senior-level scope, technical ownership, and cross-team impact.\n\nYou are comfortable owning systems end-to-end, from problem definition through serving and monitoring, not just the modeling layer.\n\nYou have worked on optimization problems like ranking, personalization, or multi-objective decisioning in environments with interacting metrics.\n\nYou have hands on experience with Databricks, Spark and Sagemaker.\n\nExperience architecting production ML systems for large user populations, with a track record of setting standards and influencing across teams.\n\nExpert proficiency with ML frameworks (PyTorch, TensorFlow, XGBoost/LightGBM, scikit-learn) and deep understanding of statistics and ML fundamentals.\n\nMaster’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field (or equivalent industry experience).\n\nExcellent communication skills, with the ability to explain technical solutions to engineering, science, product, and executive audiences.\n\nPreferred\nStreaming / Identity / Fraud / Ad-tech ML: identity resolution, audience modeling, recommendation/ranking, content understanding.\n\nHands-on experience with agentic AI frameworks at production scale\nExperience with real-time feature serving and low-latency inference, and with mixture-of-experts or graph neural networks.\n\nPublished research or conference presentations in relevant ML domains.\n\nOur Technology Stack \nPrimary platform: AWS , Databricks\n\nWarehouse: Snowflake\n\nActivation: Mosaic, FreeWheel, Google Ad Manager.\n\nLanguages: Python (primary), SQL, Scala (as needed).\n\nWhat We Offer:\nA Great Place to work\n\nEqual opportunity employer\n\nFast track growth opportunities\n\nHow We Get Things Done…\nThis last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.\nChampioning Inclusion at WBD\nWarner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.","description_format":"text","description_chars":8545,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Media & Entertainment","Standards & Industry Bodies"],"lifecycle":[{"event":"open","at":"2026-10-01T10:03:06Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.397,"p_room":0.28,"age_days":70,"expected_fill_days":26,"reasons":["conf:12","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/pressroom-senior-machine-learning-engineer-hyderabad","json_url":"https://alion.io/job/pressroom-senior-machine-learning-engineer-hyderabad.json","meta":{"generated_at":"2026-10-22T00:24:12Z","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":568,"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":21042},"rest":"https://alion.io/mcp/rest/get_company?id=21042"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpressroom-senior-machine-learning-engineer-hyderabad"},{"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%2Fpressroom-senior-machine-learning-engineer-hyderabad"},{"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%2Fpressroom-senior-machine-learning-engineer-hyderabad"},{"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/pressroom-senior-machine-learning-engineer-hyderabad\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpressroom-senior-machine-learning-engineer-hyderabad"}]}