{"id":631441,"url":"https://alion.io/job/walt-disney-company-sr-machine-learning-engineer-2","title":"Sr 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":88,"open_postings":86,"ghost_share":0,"stale_share":0.663,"repost_share":0.035,"time_to_fill_p50_days":18,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Orlando, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135200,"max":181200,"currency":"USD","period":"year","gross":null,"usd_annual":181200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-20T20:41:06Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Job Posting Title:\nSr Machine Learning EngineerReq ID:\n10157609Job Description:\nJob Summary:\nAt Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible forthe end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperienceapp and Hey, Disney!\nThe teamis seekinga results-oriented and hands-on SeniorMachine Learning Engineer to design, develop, and deploy high-impact AI/ML solutions that drive measurable business value across our entertainment company. In this role, you willSeniorcomplex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.\nThe SeniorML Engineer will report to the ML EngineeringManager.\nThis position is in office.\nAbout The Role & Team:\nThe DXT AI Technology Platform team is responsible forbuilding an AI enablement platform for the DX segment that providesstreamlined AI & Generative AI capabilities for the segment to build solutions around and on top of. The SeniorMachine Learning Engineer will design, develop, implement enterprise grade and robust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications.\nWhat You'll Do:\nOwn the operational backbone of the AI/ML platform - design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.\n\nStand up comprehensive observability and monitoring infrastructure - model/agent performance, drift, data quality, latency, cost, and reliability - with alerting and automated remediation where possible.\n\nDevelop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.\n\nDrive complete ownership of the AI/ML lifecycle - implementation, testing, deployment, and continuous operational monitoring - delivering projects on schedule and to specification.\n\nDesign and implement Responsible AI frameworks - hallucination detection, safety guardrails, evaluation systems, and observability - to ensure model reliability, accuracy, and ethical deployment.\n\nEstablish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.\n\nChampion LLMOpsand MLOpsbest practices - infrastructure-as-code, reproducibility, automated testing, and environment parity - across the platform.\n\nPartner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align onrequirements, iterate on solutions, and deliver successful outcomes.\n\nProvide hands-on technical leadership, driving architectural decisions across AI development, LLMOps, quality assurance, and production deployment.\n\nProactively identifyand resolve technical blockers that could impactproject timelines or deliverables.\n\nCommunicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.\n\nEngage directly in development and problem-solving on high-complexity technical challenges to maintainproject velocity and quality.\n\nDrive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.\n\nBasic Qualifications:\n5+ years of proven expertisein designing, building, and deploying AI/ML solutions at scale, with 1-2 years of production experience in Generative AI technologies.\n\nComprehensive MLOps/LLMOpsexperience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.\n\nProduction deployment experience on major cloud platforms (AWS, Azure, or GCP) with a demonstrated ability to architect, scale, and operatecloud-native ML solutions.\n\nExpert-level programming proficiencyin Python and AI/ML development ecosystems.\n\nStrong foundationin machine learning including statistical modeling, supervised and unsupervised learning algorithms.\n\nAdvanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions.\n\nVersatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting-edgedeep learning approaches.\n\nProduction-grade Generative AI experience deploying and maintaining LLMs and multi-modal models in live environments.\n\nExceptional analytical capabilities with a track recordof solving complex technical problems and thriving in ambiguous, rapidly-evolvingsituations.\n\nOutstanding communication and collaboration skills with the ability to translate complex technical concepts for diverse audiences and drive cross-functional alignment.\n\nSuccess partnering across organizational levels from individual contributors to senior leadership, building trust and delivering results.\n\nProven ability to influence and lead in matrix organizations where collaboration and relationship-building are essential to achieving outcomes.\n\nPreferred Qualifications:\nExperience with container orchestration and infrastructure-as-code (Docker, Kubernetes, Terraform) for ML workloads.\n\nExperience with vector databases and embedding technologies.\n\nRequired Education:\nBachelor's degree in Computer Science, Machine Learning, Mathematical Sciences,Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.\n\nPreferred Education:\nMaster's degree or Ph.Din Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.\n\nThe hiring range for this position in FL is $135,200.00 to $181,200.00 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:\nDX TechnologyJob Posting Primary Business:\nTech Delivery, Platforms, & Core SystemsPrimary Job Posting Category:\nMachine LearningEmployment Type:\nFull timePrimary City, State, Region, Postal Code:\nOrlando, FL, USAAlternate City, State, Region, Postal Code:\nDate Posted:\n2026-08-20","description_format":"text","description_chars":7053,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["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":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.388,"p_room":0.28,"age_days":61,"expected_fill_days":18,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":181200,"is_top_pay":false},"html_url":"https://alion.io/job/walt-disney-company-sr-machine-learning-engineer-2","json_url":"https://alion.io/job/walt-disney-company-sr-machine-learning-engineer-2.json","meta":{"generated_at":"2026-10-20T22:43:12Z","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":26614,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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-sr-machine-learning-engineer-2"},{"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-sr-machine-learning-engineer-2"},{"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-sr-machine-learning-engineer-2"},{"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-sr-machine-learning-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwalt-disney-company-sr-machine-learning-engineer-2"}]}