{"id":631429,"url":"https://alion.io/job/walt-disney-company-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer","company":{"id":4283,"name":"Walt Disney Company","domain":"disney.com","url":"https://alion.io/company/walt-disney-company","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":69,"ghost_share":0.014,"stale_share":0.725,"repost_share":0.014,"time_to_fill_p50_days":20,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Glendale, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":207400,"max":278100,"currency":"USD","period":"year","gross":null,"usd_annual":278100},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Databricks","optional":false},{"name":"Feature Store","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scrum","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AutoGen","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"CrewAI","optional":true},{"name":"Cursor","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GitHub","optional":true},{"name":"LangGraph","optional":true},{"name":"MLFlow","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-11-01T20:52:11Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"Job Posting Title:\nPrincipal Machine Learning EngineerReq ID:\n10157433Job Description:\nDisney Entertainment and ESPN Product & Technology\nTechnology is at the heart of Disney’s past, present, and future. Disney Entertainment and\nESPN Product & Technology is a global organization of engineers, product developers,\ndesigners, technologists, data scientists, and more - all working to build and advance the\ntechnological backbone for Disney’s media business globally.\nThe team marries technology with creativity to build world-class products, enhance\nstorytelling, and drive velocity, innovation, and scalability for our businesses. We are\nStorytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with\nevery part of The Walt Disney Company’s media portfolio to advance the technological\nfoundation and consumer media touch points serving millions of people around the world.\nHere are a few reasons why we think you’d love working here:\nBuilding the future of Disney’s media: Our Technologists are designing and building\nthe products and platforms that will power our media, advertising, and distribution\nbusinesses for years to come.\nReach, Scale & Impact: More than ever, Disney’s technology and products serve as a\nsignature doorway for fans' connections with the company’s brands and stories.\nDisney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands -\nand the unmatched stories, storytellers, and events they carry - matter to millions of\npeople globally.\nInnovation: We develop and implement groundbreaking products and techniques\nthat shape industry norms, and solve complex and distinctive technical problems.\nProduct Engineering is a unified team responsible for the engineering of Disney\nEntertainment & ESPN digital and streaming products and platforms. This includes product\nengineering, media engineering, quality assurance, engineering behind personalization,\ncommerce, lifecycle, and identity.\nNews & Entertainment (N&E) Machine Learning\nThe N&E ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across Disney's News & Entertainment portfolio including ABC News, ABC Entertainment, National Geographic, Marvel, and Disney Studios. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms across one of the world's most iconic collections of entertainment brands.\nJob Summary:\nAs a Principal Machine Learning Engineer, you will define and own the technical architecture and strategic direction of the N&E ML Platform across a large, complex problem space spanning Disney's News & Entertainment portfolio. You will drive step-function improvements in personalization, recommendation systems, and ML infrastructure - not just at the feature level, but across entire product and platform domains. You will serve as a thought leader who bridges business objectives and technical execution, partnering with senior leadership, product, and cross-org engineering communities to set the standard for ML excellence within News & Entertainment. Your impact will be measured by the quantifiable outcomes you drive for our guests and the durable technical foundations you build for the teams around you.\nResponsibilities and Duties of the Role:\n-Focus on major areas of work, typically 20% or more of role\nArchitecture Ownership: Define and own the end-to-end architecture of the N&E ML platform across a large problem space spanning ABC News, ABC Entertainment, National Geographic, Marvel, and Disney Studios. Author architecture documents, drive them through review, and oversee implementation to ensure solutions are scalable, reliable, and aligned with platform-wide standards.\nStrategic Technical Leadership: Identify, scope, and prioritize the most impactful and time-sensitive ML workstreams across the N&E portfolio. Break down and sequence complex initiatives, proactively surface risks to leadership, and drive outcomes with a clear metrics-driven mindset.\nML Platform & Infrastructure: Drive the design and evolution of infrastructure supporting the full ML lifecycle across diverse content types and brands: data pipelines, workflow orchestration, feature stores, batch training, and low-latency online serving. Champion reliability, quality, and operational excellence across the platform.\nInnovation & Industry Awareness: Stay at the forefront of industry trends in ML, AI, and data engineering. Proactively identify and champion the adoption of new technologies, frameworks, and patterns that drive improvement across the N&E portfolio (e.g. recommendation systems, LLMs, RAGs, object detection, autogenerated content tagging).\nIncident & Reliability Ownership: Own and speak to production incidents during weekly meetings with leadership. Hold the team to the right engineering processes and drive a culture of reliability, observability, and continuous improvement across the N&E ML problem space.\nCross-Org Engagement: Actively participate in and contribute to the broader Machine Learning community across Disney Entertainment & ESPN. Drive and influence engineering standards, cross-org programs, and best practices that extend beyond the N&E ML team.\nBusiness & Objectives Alignment: Serve as a thought leader who deeply understands the business objectives and problems across the N&E portfolio - not just the technical ones. Lead metrics-driven programs that connect ML platform investments directly to measurable guest experience and business outcomes across all brands.\nMentorship & Culture: Mentor and elevate senior engineers, fostering a culture of ownership, technical rigor, and continuous learning. Be a confident, vocal, and optimistic leader who inspires the team and drives outcomes people want to rally around.\nRequired Education, Experience/Skills/Training:\nBasic Qualifications\nBachelor’s degree in computer science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience\n10+ years of experience building and operating ML engineering systems in production environments, with a track record of owning large, complex problem spaces\nDeep expertise in data science, deep learning algorithms, and statistical methods applied to real-world, large-scale engineering problems\nDemonstrated experience owning architecture across a significant platform or product domain - including authoring architecture documents, driving reviews, and leading implementation\nProven ability to drive quantifiable improvements in ML platform capabilities, personalization quality, or recommendation system performance\nExperience designing and evolving backend microservices for large-scale distributed systems using REST\nStrong expertise with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)\nDeep hands-on experience with big data technologies such as Databricks, Spark, Kinesis, and Kafka\nExperience leading incident response for high priority incidents and driving reliability programs across a team or platform\nActive participation in cross-organizational engineering communities, standards-setting, and architectural governance\nProven track record as a metrics-driven technical leader who connects engineering decisions to business outcomes\nExceptional communication, influence, and collaboration skills - comfortable presenting to and aligning senior leadership and cross-functional stakeholders\nExperience working in Agile/Scrum environments with strong prioritization and stakeholder management skills\nPreferred Qualifications\nExperience with agentic AI workflows and frameworks (e.g. LangGraph, AutoGen, CrewAI) and applying them to automate complex ML and data engineering tasks\nFamiliarity with AI-assisted development tools such as Claude, Cursor, or GitHub Copilot to accelerate software development lifecycle and engineering productivity\nFamiliarity with prompt engineering, fine-tuning, and evaluation frameworks for large language models in production environments\nExperience with MLOps platforms and modern model lifecycle management tools (e.g. MLflow, SageMaker, Vertex AI)\nThe hiring range for this position in Glendale, California is $207,400 - $278,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Job Posting Segment:\nProduct EngineeringJob Posting Primary Business:\nPE - Streaming BackendPrimary Job Posting Category:\nMachine LearningEmployment Type:\nFull timePrimary City, State, Region, Postal Code:\nGlendale, CA, USAAlternate City, State, Region, Postal Code:\nUSA - NY - 7 Hudson SquareDate Posted:\n2026-08-21","description_format":"text","description_chars":9344,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Film Production","Animation","Theme Parks & Attractions","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-10T19:19:36Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.314,"p_room":0.28,"age_days":72,"expected_fill_days":20,"reasons":["conf:7","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":278100,"is_top_pay":true},"html_url":"https://alion.io/job/walt-disney-company-principal-machine-learning-engineer","json_url":"https://alion.io/job/walt-disney-company-principal-machine-learning-engineer.json","meta":{"generated_at":"2026-11-02T00:23:50Z","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":575,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":4283},"rest":"https://alion.io/mcp/rest/get_company?id=4283"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwalt-disney-company-principal-machine-learning-engineer"},{"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%2Fwalt-disney-company-principal-machine-learning-engineer"},{"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%2Fwalt-disney-company-principal-machine-learning-engineer"},{"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/walt-disney-company-principal-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwalt-disney-company-principal-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":631429}},{"tool":"search_jobs","arguments":{"company":"disney.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":631429},"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. Docs: https://alion.io/developers"}}