$135k–$181k/yr
Sr Machine Learning Engineer
Disney Experiences Careers · Orlando, FL
Job description(tap to read)
Job Summary: At 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! The 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. The Senior ML Engineer will report to the ML Engineering Manager. This position is in office. About The Role & Team: The 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. What You'll Do: • Own 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. • Stand up comprehensive observability and monitoring infrastructure — model/agent performance, drift, data quality, latency, cost, and reliability — with alerting and automated remediation where possible. • Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end. • Drive complete ownership of the AI/ML lifecycle — implementation, testing, deployment, and continuous operational monitoring — delivering projects on schedule and to specification. • Design and implement Responsible AI frameworks — hallucination detection, safety guardrails, evaluation systems, and observability — to ensure model reliability, accuracy, and ethical deployment. • Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness. • Champion LLMOps and MLOps best practices — infrastructure-as-code, reproducibility, automated testing, and environment parity — across the platform. • Partner 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. • Provide hands-on technical leadership, driving architectural decisions across AI development, LLMOps, quality assurance, and production deployment. • Proactively identify and resolve technical blockers that could impact project timelines or deliverables. • Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence. • Engage directly in development and problem-solving on high-complexity technical challenges to maintain project velocity and quality. • Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform. Basic Qualifications: • 5+ 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. • Comprehensive MLOps/LLMOps experience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production. • Production deployment experience on major cloud platforms (AWS, Azure, or GCP) with a demonstrated ability to architect, scale, and operate cloud-native ML solutions. • Expert-level programming proficiency in Python and AI/ML development ecosystems. • Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms. • Advanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions. • Versatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting-edge deep learning approaches. • Production-grade Generative AI experience deploying and maintaining LLMs and multi-modal models in live environments. • Exceptional analytical capabilities with a track record of solving complex technical problems and thriving in ambiguous, rapidly-evolving situations. • Outstanding communication and collaboration skills with the ability to translate complex technical concepts for diverse audiences and drive cross-functional alignment. • Success partnering across organizational levels from individual contributors to senior leadership, building trust and delivering results. • Proven ability to influence and lead in matrix organizations where collaboration and relationship-building are essential to achieving outcomes. Preferred Qualifications: • Experience with container orchestration and infrastructure-as-code (Docker, Kubernetes, Terraform) for ML workloads. • Experience with vector databases and embedding technologies. Required Education: • Bachelor'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. Preferred Education: • Master'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. #DISNEYTECH #LI-AF2 The 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.
611 N. Wymore Rd - [Delivery Driver] - Competitive Compensation (Up to $23.92 per hour) / Flexible Scheduling / FT and PT Opportunities - As a Courier Driver, you will: Operate a delivery vehicle to transport packages and documents to designated locations; Load and unload packages from the vehicle; Plan and follow the most efficient route for deliveries; Communicate with customers to ensure timely and accurate delivery; Maintain proper records of deliveries and payments received; Follow all traffic laws and safety regulations while driving...Hiring Immediately >>
Cook
Sonic Drive In · Winter Garden, FL
*Position:* *Cook* *Immediate Supervisor: * Manager on Duty (MOD) *Status: * Nonexempt *Position Summary:* This position cooks, prepares, and packages product. *Essential Job Duties:* * Cook, prepare, and package food product pursuant to operational and quality standards * Operate dresser, front swamp, back swamp, grill, and food prep stations as assigned * Comply with all company policies, procedures, and operational standards * Perform regular cleaning and sanitation duties – including trash disposal, mopping, sweeping, washing dishes and food preparation tools, wiping counters, sanitizing food preparation areas, cleaning equipment, and emptying used grease – pursuant to operational standards * Regular attendance *ADDITIONAL DUTIES:* * Report customer or employee complaints/issues to MOD * Move and stock food product weighing up to 50 pounds * Perform other job-related duties as assigned or required *Time/Shift Expectations:* Irregular hours; nights; weekends; and holidays *Qualifications and Job Requirements:* * Knowledge/Skills * General restaurant or retail knowledge * Basic math and reading skills * Effective verbal and written communication skills * Ability to follow directions * Multi-tasking skills *Work Environment:* Continuous standing, bending, reaching, moving, stooping, stretching, and lifting in a restaurant environment; frequent exposure to heat and hot liquid shortening while cooking; frequent exposure to freezer when stocking food items; occasional exposure to extreme temperatures based on variable weather conditions
Courier (PT & FT available)
Amazon Flex · Winter Garden, FL
Amazon needs you as a Courier to help their mission of making customers' lives easier.If you are looking for a signing bonus, outstanding pay, flexible part-time, full-time and seasonal schedules, plus benefits for you and your family, Amazon Delivery jobs have you covered! As an Amazon Courier, you
Cook (P1-1383635-1)
Panda Restaurant Group · Kissimmee, FL
Panda Cook Our Panda Cook associates are important leaders of our team and the heart of our kitchen. You are responsible for creating food with passion, service with heart and ambiance with pride. As a Cook for our team, you will have the opportunity to embrace a central role in a fast-paced and growth-oriented environment. Our restaurants are the heart and soul of our company, and we believe our people are the recipe for success. You will: • Support in creating a vibrant and welcoming environment for our guests. • Preparing all dishes to meet company recipes and standards • Guiding Kitchen Team and assisting with their training • Performing all Back of House responsibilities Qualifications Education and Experience: • Some high school • Prefer some operations experience Food Safety: • Local/municipal requirements, such as Food Handler certification, acquired at applicant's own expense How We Reward You: • Flexible schedules • Great pay • Free meals while working at Panda • Medical, Vision, Dental, Voluntary Short-Term Disability, Cancer Income Protection insurance for full-time associates • Health Care and Dependent Care Flexible Spending accounts • 401K with company match • Vacation, sick leave, bereavement/funeral leave and Leave Share Program for eligible associates • Associate discounts for many brands • Referral bonus for eligible associates • Opportunity to give back to your community • Hands-on paid training to prepare you for success • On-Going Career & Leadership Development • Opportunities for growth into management positions • Pre-Tax Dependent Care Flexible Spending Account • Please refer to for details. **Candidates must meet, and continue to meet if employed, eligibility requirements for each benefit to qualify. ADA Statement: While performing duties, counter areas are often hot with steam from steam table and food vapors. Workspace is restricted and employees are generally expected to remain standing for long periods of time. Employees must prepare hot and cold foods, use Chinese cook knife and other kitchen equipment and work quickly without losing accuracy. Employees must be able to lift up to 50 lbs., stand up to four hours and reach across counter tops measured at 36 inches to serve customers. Kitchens are hot and noise levels are usually high; storage space is limited and shelving is high. Employees must be able to work in a fast-paced work environment, have effective verbal communication skills, ability to adapt to a dynamic environment with changing priorities, and the ability to manage conflicts/difficult situations. Panda Strong since 1983: Founded in Glendale, California, we are now the largest family-owned American Chinese Restaurant concept in America. With close to 2,800 locations globally, we continue our mission of delivering exceptional Asian dining experiences by building an organization where people are inspired to better their lives. Whether it's impacting our team or the communities we work in, we're proud to be an organization that embraces family values. You're wanted here: Panda Restaurant Group, Inc. is an Equal Opportunity Employer and is committed to providing equal opportunity, and does not discriminate on the basis of any characteristic protected by law, including but not limited to sex/gender (including pregnancy, childbirth, lactation and related conditions), gender expression, race, color, religion, national origin, sexual orientation, gender identity, disability, age, ancestry, medical condition, genetic information, marital status, and veteran status. Additionally, Panda Restaurant Group, Inc. complies with all federal, state, and local laws regarding requests for workplace accommodation. The Americans with Disabilities Act (ADA) prohibits discrimination against qualified individuals on the basis of disability. Applicants are entitled to reasonable accommodations, absent undue hardship, to effectively participate in the application and hiring process, for example, sign language interpreters. If you believe you require an accommodation for the application or interview process or for the position for which you are applying, please reach out to TASupport@PandaRG.com.