{"id":2369169,"url":"https://alion.io/job/disney-experiences-sr-machine-learning-engineer","title":"Sr Machine Learning Engineer","company":{"id":1892995,"name":"Disney Experiences","domain":"disneyconnect.com","url":"https://alion.io/company/disneyconnect","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":null,"salary_estimate":{"min_usd":120000,"max_usd":229000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1124},"experience_years_min":null,"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":"2026-10-12T06:14:13Z","employer_posted_date":null,"last_verified_at":"2026-10-12T06:14:13Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job 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 for the 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 MyDisneyExperience app and Hey, Disney!\n\nThe team is seeking a results-oriented and hands-on?Senior Machine 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 will Senior complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.\nThe Senior ML Engineer will report to the ML Engineering Manager.\n\nThis position is in office.\n\nAbout The Role & Team:\nThe DXT AI Technology Platform team is responsible for building an AI enablement platform for the DX segment that provides streamlined AI & Generative AI capabilities for the segment to build solutions around and on top of.? The Senior Machine Learning Engineer will design, develop, implement enterprise grade and robust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications.\n\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 LLMOps and MLOps best 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 on requirements, 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 identify and resolve technical blockers that could impact project 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 maintain project 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 expertise in designing, building, and deploying AI/ML solutions at scale, with 1?2 years of production experience in Generative AI technologies.\n\nComprehensive MLOps/LLMOps experience 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 Google Cloud Platform) with a demonstrated ability to architect, scale, and operate cloud-native ML solutions.\n\nExpert-level programming proficiency in Python and AI/ML development ecosystems.\n\nStrong foundation in 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-edge deep 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 record of solving complex technical problems and thriving in ambiguous, rapidly-evolving situations.\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.D in 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\n#DISNEYTECH\n#LI-AF2\n\nThe hiring range for this position in FL is $137,200.00 to $184,000.00 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.","description_format":"text","description_chars":6747,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Theme Parks & Attractions"],"lifecycle":[{"event":"open","at":"2026-10-12T16:53:56Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["seen:0","win:early"],"computed_at":"2026-10-13T03:02:07Z"},"pay":null,"html_url":"https://alion.io/job/disney-experiences-sr-machine-learning-engineer","json_url":"https://alion.io/job/disney-experiences-sr-machine-learning-engineer.json","meta":{"generated_at":"2026-10-13T03:02:07Z","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":4571,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":1892995},"rest":"https://alion.io/mcp/rest/get_company?id=1892995"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdisney-experiences-sr-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%2Fdisney-experiences-sr-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%2Fdisney-experiences-sr-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/disney-experiences-sr-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdisney-experiences-sr-machine-learning-engineer"}]}