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“Any sufficiently complex technology is indistinguishable from magic.” - Arthur C. Clarke At Imagineering, we are constantly exploring new ways to connect with our guests – to surprise them, make them smile, and open their minds to magic - not just in our parks and resorts, but everywhere around the world. At Walt Disney Imagineering Research and Development this "magic" emerges from the application of world-class technology and everything from new Guest-facing experiences to new tools for Imagineers and Cast Members who power our parks and bring that magic to life. Our team of engineers, designers, artists and scientists share a passion for solving impossible problems and building ground-breaking experiences. At Disney Research Imagineering, we pursue and apply the science behind the magic: unlocking new opportunities for Imagineering in all aspects of project lifecycles, from early phase creative ideation to deployment. We are seeking a Research Scientist to lead foundational and applied research at the intersection of artificial intelligence and spatial media. This role involves designing, developing, and deploying cutting-edge generative models to support creative, architectural, and experiential design workflows across Disney’s themed entertainment portfolio. As a key scientific contributor and thought leader, you will collaborate with cross-functional teams of researchers, engineers, and creatives. Your work will span exploratory investigations, peer-reviewed research, and the translation of experimental technologies into applied tools for design and fabrication. You will report to the Associate Lab Director and contribute to the AI/ML research strategy for Imagineering R&D. This is a full-time role. * Conduct original research in generative AI, focusing on 3D model generation, scene synthesis, and simulation. * Develop machine learning architectures and algorithms that enhance the creation, visualization, and physical realization of themed environments. * Prototype AI-driven systems that support CAD/BIM workflows, virtual production, and spatial design. * Integrate AI with real-time rendering engines, 3D modeling pipelines, and mixed-reality platforms. * Evaluate generative models for feasibility, fidelity, controllability, and integration into creative pipelines. * Collaborate with internal and external research partners, including academic institutions, industry labs, and vendors. * Translate scientific insights into working prototypes that bridge digital design and physical implementation. * Mentor junior researchers and contribute to the technical direction of AI initiatives within the lab. * 5+ years of research experience in machine learning, computer vision, or computational graphics with published work in top-tier conferences/journals (e.g. SIGGRAPH, NeurIPS, CVPR, and others). * Expertise in generative 3D AI technologies such as NeRFs, diffusion models, implicit neural representations, or volumetric rendering. * Proficiency in machine learning libraries (e.g., PyTorch, TensorFlow) and programming languages such as Python and C++. * Experience working with 3D asset creation and rendering tools (e.g., Blender, Unreal Engine, Unity, Houdini). * Deep understanding of data-driven design tools and interactive AI systems for spatial computing or immersive storytelling. * Demonstrated ability to bridge theoretical research with real-world implementation. * Strong communication skills with the ability to present complex ideas to multidisciplinary teams. * A desire to work in a creative environment where technical and creative experts collaborate and challenge each other every day to achieve truly groundbreaking solutions * Familiarity with robotics, digital fabrication, or construction automation as it relates to AI integration. * Experience with AI-assisted tools in architecture, entertainment, or XR applications. * Background in physical simulation, procedural modeling, or multimodal (text-to-3D) generation. * Track record of technology transfer, patents, or deployed AI systems. * Experience with generative models for animation, such as motion transformers, motion diffusion models, variational motion encoders, or reinforcement learning for animated control. * Experience integrating animation systems into real-time engines (e.g., Unreal Engine with Control Rig, Unity with Mecanim or custom solutions). * Familiarity with motion capture data pipelines, retargeting techniques, and animation blending. * Demonstrated ability to bridge technical research and production-quality animation systems, ideally through previous work in film, games, or immersive media. * Contributions to open-source projects or prior internships in research labs or innovation teams. * Interest in construction tech, architecture, or fabrication workflows is a plus. PhD in Computer Science, Electrical Engineering, Computational Design, or a related field, with specialization in AI/ML or 3D graphics. Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at ___. #DXMedia #LI-KK2 The hiring range for this position in Glendale, CA is $167,700 to $224,900 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 Description Who We Are Vermillio believes humanity should thrive in the era of AI. That’s why we’re building essential guardrails for the generative internet - starting with TraceID, our AI protection and licensing technology. Vermillio brings together over a century of combined AI expertise, with its co-founders building in AI for more than ten years. The company is well funded and is already working with world-class IP from partners such as Sony and WME. Our technology creates a secure ethical environment for all builders, makers and creators. Content Match Technology identifies when and where ingredients are used in new experiences. Attribution technology ensures proper credit and compensation reach rightful owners, confirming that AI developers have consent and access to high quality ingredients. TraceID puts everyone in control of what they own, what they build with, and what they create. With our platform TraceID, talent and IP holders can take advantage of the benefits of Generative AI in a safe and secure environment while understanding where and how their valuable data is being used. We are looking for business leaders, support teams and fans of the world’s most beloved IP who believe there can be collaboration between AI platforms and the world’s most valuable IP and well-known talent. We’re leading in a marketplace that is constantly evolving - we need smart, nimble team members who are ready to be a part of this exciting new era. Who We’re Looking for Vermillio is seeking an independent Sales Engineer Contractor with specialized expertise to streamline our technical sales process and manage customer engagement and insights. We have a small but growing sales team that needs a nimble, detail-oriented Sales Engineer Contractor to optimize our technical demonstrations and ensure seamless cross-functional collaboration with product, engineering, and marketing. The contractor will leverage their professional experience with fast-moving startups, entertainment industry dynamics, and SaaS product development to deliver expert analysis and systematic improvements to Vermillio's technical sales operations. The contractor will provide independent consulting services to streamline technical sales processes and develop customer engagement frameworks, drawing from their specialized knowledge of diverse customer segments, including studios, record labels, high-profile individuals, and AI developers. Using their professional expertise in data privacy and creative licensing markets, the contractor will design scalable systems and processes that support business growth. Terms: • The contractor sets own schedule and work methods to meet agreed deliverable deadlines., • The estimated number of hours/week is 30 hours Service Deliverables: The contractor will provide the following consulting deliverables on agreed-upon timelines: Project 1: Sales Demo Development & Maintenance • Build and update sales demonstration environments showcasing latest TradeID features and value propositions using contractor’s industry expertise, • Development of sales demo materials for Enterprise Protection and Enterprise Licensing for various customer segments Project 2: Proof-of-Concept (POC) Program Setup, • Design standardized POC templates across different industry segments and modalities leveraging contractor’s expertise, • Create POC handoff processes between sales and product teams, providing documentation templates and process recommendationsProject 3: Pricing Tools & Unit Economics Updates, • Audit and update pricing calculators based on latest product improvements, • Refresh unit economics models to reflect new tooling capabilities, • Deliver updated pricing framework recommendationsProject 4: Customer Feedback Management System, • Build centralized prospect and customer feedback collection process, • Create prioritization framework for product and sales team input, • Design feedback tracking and response protocol framework based on contractor's specialized knowledge of customer relationship systems, delivering process documentation and workflow recommendationsProject 5: Technical Sales Documentation, • Develop comprehensive sales playbooks for technical selling, • Create competitive positioning guides and battle cards, • Build technical FAQ database and objection handling resourcesProject 6: Technical Evaluation Process Enhancement, • Create technical evaluation questionnaires for our primary markets:, • Enterprise Protection: Music, Print Media, Video, • Enterprise Licensing: Music, Print Media, Video, • Implement measurement and feedback loops for continuous improvement You Have • 7+ years of experience in Sales Engineering, Technical Sales, or related roles, • Expertise using software such as Lovable and Figma, • Proven track record of building and scaling technical sales processes in fast-growing technology companies, • Strong understanding of solution selling methodologies and technical sales best practices, • Excellence in cross-functional collaboration and stakeholder management across sales, marketing, and product teams, • Experience implementing and optimizing sales development tools and technical demonstration systems, • Strong analytical skills with experience in sales data-driven decision-making and forecasting, • Outstanding written and verbal communication skills with ability to present to technical and executive audiences, • Outstanding project management skills across varied technical sales responsibilities, • Excellent problem-solving and analytical skills to address complex customer technical requirements, • Passion for working with leading edge, web-based technologies and a desire to be a thought leader in the GenAI space, • Experience using Figma and AI demo/application creation tools like Lovable, • A general understanding of Licensing IP and creating technical use cases in entertainment, • An agile mindset and approach with the ability to navigate changing customer requirements and market conditions, • Day-to-day exposure to the world’s top talent and IP Ob4S1aj6of

Job Description Apply now: Senior Data Engineer, Location is Hybrid (Burbank, CA). The start date is September 30, 2025, for this 4-month contract position with potential extension. Job Title: Senior Data Engineer Location-Type: Hybrid (3 days onsite – Burbank, CA) Start Date Is: September 30, 2025 (or 2 weeks from offer) Duration: 4 months (Contract, potential extension) Compensation Range: $80.00 – $85.00/hr W2 Job Description: We are seeking a Senior Data Engineer to join a lean-agile product delivery team focused on building scalable, governed, and AI/ML-ready data solutions. As part of a cross-functional pod, you will design and implement high-performance data pipelines, support analytics and machine learning workflows, and embed governance into all aspects of data delivery. This role requires strong AWS expertise, hands-on engineering, and the ability to collaborate across engineering, product, and architecture teams. Day-to-Day Responsibilities: * Design & Build Scalable Data Pipelines: Develop batch and streaming pipelines using AWS-native tools (Glue, Lambda, Step Functions, Kinesis) and orchestration frameworks like Airflow. * Optimize & Monitor: Ensure pipelines are resilient, cost-efficient, and scalable. * Enable Analytics & AI/ML: Deliver structured, high-quality data to BI tools and ML workflows; partner with data scientists to support feature engineering and model deployment. * Ensure Governance & Quality: Embed validation, lineage, tagging, and metadata standards into pipelines; contribute to enterprise data catalog. * Collaborate & Mentor: Participate in Agile ceremonies, architecture syncs, and backlog refinement. Mentor junior engineers and advocate for reusable services across pods. Requirements: Must-Haves: * 7 years of experience in data engineering, with hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3). * Proficiency with SQL, Python, and PySpark for data transformations. * Experience with orchestration tools such as Airflow or Step Functions. * Proven ability to optimize pipelines for both batch and streaming use cases. * Understanding of data governance practices, including lineage, validation, and cataloging. * Experience with modern data platforms such as Snowflake, Databricks, Redshift, or Informatica. Nice-to-Haves: * Experience influencing platform-first approaches across pods. * Strong collaboration and mentoring skills. * Knowledge of advanced governance practices and large-scale data platform operations. Soft Skills: * Excellent communication skills for cross-functional collaboration. * Ability to mentor and guide junior engineers. * Proactive problem solver with strong organizational and teamwork skills.

Job Description Company: Pixelogic Media Partners, LLC provides distribution services and technology solutions to the entertainment industry. We help studios, broadcasters and digital retailers localize and distribute their feature and episodic titles to global audiences on-time and with superior quality. Our service offerings cover end-to-end workflows including language services such as scripting, subtitling, access services, dubbing, text and metadata localization in over 50 languages. Our technical services master and prepare this content in all distribution products including digital cinema, digital media, and physical media (Ultra HD Blu-ray, Blu-ray, and DVD). To date, we service thousands of titles for iTunes, Google Play, YouTube, Netflix, Amazon, Movies Anywhere and others. We also authored thousands of Ultra HD Blu-ray, Blu-ray, and DVD discs. Our research and development team works on cutting-edge technologies such as 4K, high dynamic range (Dolby Vision, HDR10+), artificial intelligence and machine learning, software automation and our proprietary end-to-end operating platform branded as pHelix. Experience start-up at scale. Be part of building innovative solutions to service our media and entertainment clients and help us fulfill their content distribution needs. Join us if you’re passionate about entertainment, innovation, and customer service excellence! Compensation Range: $75,000 - $100,000 Shifts: Day (8am start) Role Summary: The Data I/O Manager reports to the Global Director of Data I/O and is responsible for overseeing the daily operations and performance of the Data I/O department. This role involves setting objectives, defining processes, and driving success in alignment with global strategies. The Manager will lead teams to ensure efficiency, productivity, and adherence to KPIs, including Productivity, First Response SLA, and Task SLA. The Manager will collaborate closely with global teams, optimize workflows, and ensure that operational standards for quality, security, and accuracy are met. As part of the leadership role, the Manager will guide the team through process improvements and foster continuous development. While travel may be required occasionally (approximately once every 1-2 years), the focus will be on supporting growth projects and collaborating with other locations as needed. Resiliency will be key in navigating shifting priorities and ensuring consistent success despite challenges. The ideal candidate will demonstrate strong leadership, excellent problem-solving abilities, adaptability, resiliency, and the capability to collaborate effectively across global teams. A deep understanding of workflows and a proactive approach to optimizing processes to improve performance will be essential. The Manager will also embody Pixelogic’s core values and drive the success of the Data I/O team within a collaborative, global framework. Key Responsibilities: Promote and champion OneQ and the Global Data I/O Team Goals: One Queue. One Team. Any Task. Any Location. Any Time. Operational Leadership & Performance Management: • Lead Global Operations: Oversee global Data I/O operations, ensuring alignment with organizational goals, KPIs, and service standards. Ensure global success by fostering collaboration and driving consistency across locations., • Monitor & Optimize Performance: Create and track key metrics such as Productivity, First Response SLA, and Task SLA, and others, identifying areas for improvement and driving continuous performance enhancements., • Process & Workflow Optimization: Identify opportunities for process improvements to increase operational efficiency, quality, and consistency across all locations., • Delegation & Resource Allocation: Ensure effective delegation of tasks and resources, balancing business priorities and operational needs across global teams., • Escalation Management: Monitor the escalation process to ensure that issues are addressed promptly and appropriately by team leaders and supervisors. Step in for high-level or complex issues that require managerial decision-making, collaborating with relevant teams (IT, HR, etc.) for resolutions., • Time & Attendance Oversight: Approve timecards, manage attendance, and ensure proper scheduling to maintain smooth operations., • Onboarding & Integration: Oversee the onboarding of new customers, portals, and connections, ensuring seamless integration into workflows. Maintain alignment with current processes and automation., • Perform other tasks and responsibilities as assigned, and establish a weekly, bi-weekly, or monthly progress reporting, project feedback, issue and solution reporting/tracking, and operational assessments. Team Development & Performance Management: • Team Development & Professional Growth: Lead the development and maturation of a high-performing team by fostering an environment of continuous learning, mentoring, and create Professional Development Plans (PDPs) for team members., • Performance Monitoring & Feedback: Track team and individual performance against KPIs. Provide strategic guidance, coaching, and collaborate with HR and supervisors to implement Performance Improvement Plans (PIPs) when necessary., • Staffing & Resource Management: Collaborate with leadership to ensure optimal staffing and resource allocation to meet operational needs and business priorities. Training & Knowledge Management: • Training Oversight & Strategy: Ensure that all team members receive comprehensive, aligned training by developing training strategies, schedules, and materials that reflect security, company policies, and departmental best practices., • Documentation & Process Updates: Oversee the creation and maintenance of training materials, work instructions, checklists, policies, Learning Management System (LMS) content and operational documentation to ensure the team is consistently updated on security protocols, procedures, and departmental best practices., • Skill Development & Gap Analysis: Identify new skills and skill gaps then collaborate with team leaders and the Learning Team to implement targeted development initiatives, ensuring continuous team growth and alignment with departmental goals. Technology & Process Innovation: • Continuous Process Improvement: Regularly assess team performance, policies, checklists, and workflows, identifying and implementing improvements to optimize systems, tools, and processes, driving efficiency, short and long-term operational success., • Technology Integration & Workflow Optimization: Stay updated with new tools and technologies, proactively proposing and leading the integration of innovative solutions to streamline operations, enhance team capabilities, and increase productivity., • Support Automation & Innovation: Collaborate with internal teams to ideate, develop and deploy automated workflows, reducing manual intervention and enhancing overall efficiency. Global Team Collaboration: • Foster Cross-Regional Collaboration: Promote a unified, collaborative environment across global teams by ensuring clear communication, knowledge sharing, and alignment on global initiatives., • Lead Global Meetings & Communication: Coordinate regular global meetings to discuss priorities, risks, and ongoing issues, ensuring alignment on goals and maintaining communication across regions, especially during shift transitions., • Cultivate Global Team Unity: Support team members across locations, resolve conflicts locally, and escalate as needed to maintain focus on shared goals, upholding the "One Queue. One Team. Any Task. Any Location. Any Time." philosophy., • Optimize Global Performance: Collaborate with global teams to identify opportunities for improvement, streamline workflows, and implement best practices, ensuring consistent performance across locations. Requirements Qualifications: • Skills & Expertise:, • Proven ability to lead and develop multi-location teams in high-volume, fast-paced environments. Strong skills in motivating and guiding teams across multiple locations and time zones to achieve performance goals., • Excellent communication skills, with the ability to collaborate effectively with both local and global teams. Capable of working with internal and external stakeholders to optimize workflows and improve operational performance., • Advanced troubleshooting skills for data transmission systems and technical issues under pressure. Proficient in operating systems (Windows, Mac, Linux) and command-line tools., • Experienced with data transfer protocols (e.g., Aspera, FTP, Signiant, Faspex) and physical media handling (e.g., LTO, tapes, hard drives). Familiarity with digital asset management systems and metadata management., • Knowledge of network infrastructure (VPNs, firewalls, DMZs) and storage solutions (e.g., Quantum StorNext, LTO). In-depth understanding of media formats and security protocols., • Strong experience with process improvement initiatives, identifying opportunities to optimize systems, tools, and workflows to drive operational efficiency and enhance team capabilities., • Experience:, • 5+ years of experience in a data operations or IT environment., • 2+ years of experience in managing teams in a global, multi-time zone, and multi-cultural work environment., • Strong background in customer service, with a focus on improving customer experience and satisfaction., • Education:, • Bachelor’s Degree or equivalent professional experience., • A degree in Computer Science, Business Management or a related field is a plus. Attributes: • Leadership & Team Collaboration: Proven ability to lead and motivate global teams, ensuring alignment with performance goals while fostering collaboration and a positive, results-driven culture across multiple locations., • Solution-Oriented: Strong problem-solving skills with the ability to resolve complex issues quickly and effectively, independently or by escalating appropriately when needed., • Adaptability & Resilience: Comfortable working in a dynamic environment, adapting to shifting priorities and maintaining a positive attitude while managing tight turnarounds., • Customer-Focused: Dedicated to delivering exceptional service and ensuring satisfaction for both internal and external stakeholders., • Attention to Detail: Highly organized with strong multitasking abilities, able to manage multiple priorities while maintaining high standards of quality and accuracy., • Innovative & Process-Oriented: Constantly seeking opportunities for process optimization and technological advancements to improve operational efficiency and drive continuous improvement., • Positive Attitude: Resilient and enthusiastic, with a solution-focused approach to challenges.

Job DescriptionSenior Full-Stack Software Engineer Job Title: Senior Full-Stack Software Engineer Location: Glendale, CA - HYBRID (in office Monday-Wednesday) Salary: $150-180k/year + FULL BENEFITS Requirements: Python, Javascript, frontend frameworks, Cloud (AWS, GCP, etc.), Javascript Featured as one of Los Angeles Business Journal's "Best Places to Work," we are a household name with a passion for bringing people together through our innovative online experiences. We're currently hiring a Senior Full-Stack Engineer to join our team in LA. In this role, you will be responsible for developing and maintaining high-quality desktop & mobile web experiences using Python, React, Javascript, and HTML/CSS. Key Responsibilities • Design, develop, and deploy scalable web applications using modern technologies, • Collaborate with product managers, designers, and other engineers to understand requirements and translate them into technical solutions, • Maintain and improve existing applications by troubleshooting and optimizing performance, • Write clean, maintainable, and efficient code while adhering to best practices and coding standards, • 5+ years of experience in software development, • Backend experience in Python & Django or Flask, • Frontend experience with JavaScript, HTML, and CSS, • Any modern frontend Javascript framework (we use React), • Knowledge of NoSQL data-stores, task queues, and common architectural components, • Unix/Linux, • Docker and general containerization, • 100% employer-paid dental & vision plans for employees and their families, • Employer-matched 401(k) plan, • Unlimited PTO, • Bereavement leave, • Paid time off to volunteer, donation matching, • 12 weeks parental leave at 100% of your salary for new births, adoptions, & foster children + an initial contribution to help cover early parenting expenses, • Mental health benefits, • FULLY STOCKED KITCHEN! TEAM LUNCHES! HAPPY HOURS! - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 10/10/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Data I/O Digital and Physical Specialist, Level I Evening shift - 11pm start time Comp range - $23 - $25/hr Company: Pixelogic Media Partners, LLC provides distribution services and technology solutions to the entertainment industry. We help studios, broadcasters and digital retailers localize and distribute their feature and episodic titles to global audiences on-time and with superior quality. Our service offerings cover end-to-end workflows including language services such as scripting, subtitling, access services, dubbing, text and metadata localization in over 50 languages. Our technical services master and prepare this content in all distribution products including digital cinema, digital media, and physical media (Ultra HD Blu-ray, Blu-ray, and DVD). To date, we service thousands of titles for iTunes, Google Play, YouTube, Netflix, Amazon, Movies Anywhere and others. We also authored thousands of Ultra HD Blu-ray, Blu-ray, and DVD discs. Our research and development team works on cutting-edge technologies such as 4K, high dynamic range (Dolby Vision, HDR10+), artificial intelligence and machine learning, software automation and our proprietary end-to-end operating platform branded as pHelix. Experience start-up at scale. Be part of building innovative solutions to service our media and entertainment clients and help us fulfill their content distribution needs. Join us if you’re passionate about entertainment, innovation, and customer service excellence! Job Title: Data I/O Digital and Physical Specialist, Level I Job Summary: The Data I/O Digital and Physical Specialist, Level I reports to the Manager, Data I/O. In this role, you will play a key part in the accurate transfer, management, and validation of both digital and physical assets. As a member of the global Data I/O team, you will master all Level I workflows and endpoints, ensuring seamless operations and coordination across all locations. This position requires exceptional attention to detail, strong communication, and a commitment to completing tasks with precision. The ideal candidate will be adaptable, resilient, and able to collaborate effectively across global teams to meet performance goals and deliver exceptional service. The Data I/O Digital and Physical Specialist, Level I will embody Pixelogic’s core values and contribute to the overall success of the team. Key Responsibilities • Promote and champion OneQ and the Global Data I/O Team Goals: One Queue. One Team. Any Task. Any Location. Any Time., • Operational Excellence: Consistently complete Data I/O tasks with accuracy and efficiency to support global objectives., • Security & Compliance: Adhere to departmental policies, ensuring compliance with security protocols and company policies., • Global Collaboration & Communication: Proactively communicate with internal teams and departments to resolve issues, ensure smooth workflows, and escalate critical issues when deadlines or asset integrity are at risk., • Process Improvement & Efficiency: Suggest improvements to workflows, processes, and documentation to enhance team productivity and efficiency., • File Transfers & Asset Management: Facilitate the secure transfer of digital assets using industry-standard protocols (e.g., Aspera, Signiant, FTP, client-specific tools), and download, ingest, and stage files to storage servers., • File Verification & Processing: Perform verification checks (e.g., Verifier++, MD5 checksums), renaming files and folders, creating proxies, using hot folders, etc., • Physical Assets: Track, barcode, log, and store physical assets as they are received, transferred, and shipped, ensuring secure tracking and timely notifications., • Disk Space Management: Collaborate with production teams to monitor and manage disk space on servers, preventing delays in file processing., • Backup & Archiving: Restore and archive digital files to LTO for backup and ensure they are posted to production servers when required., • Continuous Learning: Stay adaptable by learning new tools, procedures, and techniques to improve performance. Additional Responsibilities: Perform additional tasks as assigned to fulfill team objectives and ensure smooth operations. Requirements Qualifications Skills & Expertise: • Advanced knowledge of Windows, Mac, and Linux operating systems. Command-line a plus., • Experience with Aspera P2P, Aspera Faspex, Aspera Dropbox, Signiant, FTP, and other file transfer protocols., • Familiarity with physical media formats (e.g., drives, tapes, LTO, LTFS) and digital asset management., • Experience working with network storage and remoting into computers., • Understanding of computer networks, including DMZ, VPNs, and firewalls., • 1+ years in a data operations, IT, or media environment (preferred)., • Experience with digital asset management and file transfer protocols is a plus., • Required: Bachelor’s degree or equivalent professional experience., • Preferred: Degree in Computer Science, IT, or a related field. Attributes • Positive Attitude: Proactive, solution-oriented, and resilient when facing challenges., • Attention to Detail: Strong organizational and multitasking skills, ensuring high accuracy in a fast-paced, high-volume environment., • Adaptability: Able to quickly learn new tools, procedures, and techniques to keep up with the evolving demands of the role., • Collaboration: A team player with excellent communication skills, both written and verbal, across various platforms (e.g., email, Teams, etc.)., • Autonomy: Capable of working independently with minimal supervision while meeting deadlines and maintaining a high standard of work., • Customer-Focused: Passionate about providing quality service and ensuring customer satisfaction, both internally and externally., • Process Improvement: Open to suggesting and implementing process improvements for increased team efficiency and throughput.

Job Description Role Overview Classic Vacations is transforming its digital backbone to deliver world-class, AI-powered experiences for both internal stakeholders and external customers. This pivotal role is responsible for stabilizing critical data flows, leading the modernization of our data architecture, and enabling scalable, intelligent systems that power our next generation of products and insights. The Data Platform & AI Enablement Engineer is not just a builder of pipelines—they are an architect of possibility. Why This Role Matters At Classic Vacations, we believe that clarity, alignment, and purpose are the foundation of a healthy, high-performing organization—and this role is central to advancing that mission. The Data Platform & AI Enablement Engineer plays a pivotal role in shaping the future of how we leverage data to support our partners, delight our customers, and empower our colleagues. This is more than a technical role; it’s a strategic opportunity to drive meaningful impact. You will empower decision-making across core departments such as Finance, Product, and Customer Experience by delivering trusted, real-time data. By modernizing our data infrastructure and migrating legacy systems to a scalable, cloud-native platform, you’ll eliminate inefficiencies and reduce technical debt. At the same time, you’ll help lay the groundwork for robust, ethical, and high-performing AI and machine learning pipelines—capabilities that will transform how we serve the travel industry. This role also offers a chance to lead through influence, sharing your expertise with others and fostering a culture of excellence, performance, and shared learning. If you thrive in a high-trust environment and are driven by the tangible outcomes of your work, you won’t just be part of Classic Vacations’ transformation—you’ll be instrumental in leading it. Key Responsibilities Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. In alignment with Classic’s commitment to building a cohesive and high-performing team, your responsibilities will include: Phase 1: Stabilize and Maintain Today’s Ecosystem • Administer and tune Microsoft SQL Server environments, supporting business-critical schemas., • Manage Tableau Server/Cloud, ensuring reliable dashboard refreshes and robust permissions., • Monitor and support Finance, Product, and CX reports with foundational data-quality checks., • Respond to ad-hoc data and performance needs from business stakeholders and developers. Phase 2: Modernize the Platform • Design schemas in Amazon Redshift or Google BigQuery, preparing for cloud-native scalability., • Build, test, and document dbt pipelines; manage them with Terraform and Git-based CI/CD., • Automate Tableau flows that align tightly with dbt and semantic layer standards., • Replace manual, error-prone feeds with validated ingestion pipelines using tools like Great Expectations. Phase 3: Enable AI at Scale • Stand up streaming architectures (e.g., Kafka, Kinesis) and manage ML feature stores., • Embed analytics into customer-facing applications via APIs and securely expose governed datasets., • Implement data observability solutions (e.g., Monte Carlo, Metaplane) to uphold SLAs and data trust., • Lead initiatives to improve data engineering culture: performance, documentation, scalability, and AI-readiness. The above is intended to describe the general content of and requirements for the performance of this position. It should not be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this position at any time. Qualifications & Skills In line with Classic’s values of continuous improvement and organizational health, we seek a leader who exemplifies both technical expertise and a collaborative spirit. Required Technical Experience: • Candidates should have a minimum of five years managing Microsoft SQL Server environments with proven expertise in performance tuning and production support. Additionally, at least three years of experience administering Tableau Server or Tableau Cloud is required, including familiarity with Tableau Prep workflows and Hyper extract pipelines. The ideal candidate will be comfortable working with Tableau's REST and Metadata APIs and managing role-based access. Required Data Engineering Skills: • Strong proficiency in Python and modern SQL is essential, along with disciplined use of Git workflows for code management. Hands-on experience with cloud data services in AWS or GCP—such as Redshift, BigQuery, S3, Glue, or Pub/Sub—is highly valued. Candidates should have production-level experience with dbt (data build tool), Terraform, and automated data validation frameworks such as Great Expectations. Required Platform & Infrastructure Expertise: • A solid understanding of CI/CD principles, infrastructure-as-code, and scalable data platform design is required. Familiarity with streaming architectures (Kafka, Kinesis) and feature stores is a plus, especially for those passionate about enabling machine learning use cases. Preferred Qualifications: Ideal candidates may also bring experience optimizing Tableau performance (including VizQL tuning and materialized views), implementing embedded analytics with row-level security, and experimenting with modern AI data patterns such as vector stores or retrieval-augmented generation (RAG) for LLM applications

Job Description Manual Machinist Location: Burbank, CA Pay: $16.50 - $45.00 per hour Why Join Us? Are you a hands-on machinist who enjoys working with precision tools and creating high-quality parts? We are looking for a dedicated Manual Machinist to join our growing team! In this role, you will operate and maintain manual machines, including lathes, milling machines, and grinders, to create precision parts for aerospace applications. Responsibilities • Operate manual lathes, mills, and grinders to machine parts to specifications, • Read blueprints and use shop math to ensure accuracy, • Set up tools, fixtures, and materials correctly, • Inspect parts for quality and make adjustments as needed, • Follow safety procedures and best machining practices, • Assist in process improvements and collaborate with the team, • Experience with CNC machines is a plus but not required, • Work with Hardinge lathes, Bridgeport mills, LeBlond lathes, and drill presses (experience preferred)What We Offer, • Training & Development: On-the-job training, vocational training, and up to $1,000/year for education, • Health Benefits: 100% paid medical, dental, and vision for employees, • 401K & Profit Sharing, • Paid Time Off: 2 weeks after 1 year, 3 weeks after 5 years, • Paid Holidays: 7 major holidays per year, • Work Perks: Monthly catered lunches, work boot & safety glasses allowance, employee discounts, • Overtime OpportunitiesWhat You Need, • At least 1 year of manual machining experience or related training, • Ability to read and interpret blueprints, • Strong attention to detail and quality, • Knowledge of speeds, feeds, and tooling (a plus!)Physical Requirements, • Must be able to stand, walk, and use hands frequently Get a glimpse of our shop environment and culture by watching this video: . Apply today! For more information on our benefits, visit: 6:30 AM – 3:00 PM, Monday to Friday (with overtime opportunities)

Job Summary: Our client is seeking a Machine Learning Engineer to join their team! This position is located in Burbank, California. Duties: • Design, develop, debug, and deploy advanced machine learning applications using frameworks such as PyTorch and TensorFlow, • Build and implement ML models across diverse domains, including computer vision, generative AI, and optimization, • Own the full ML lifecycle, from data preparation and training to deployment, monitoring, and performance tuning, • Evaluate and benchmark academic research, ML tools, and emerging applications to identify innovative approaches, • Stay at the forefront of ML research, assessing new trends and translating them into solutions that support company needs, • Share knowledge internally and contribute to external publications when appropriate, • Facilitate technology transfer between company, external research groups, and partners, • Collaborate closely with creative and technical teams across in the company to understand challenges and deliver tailored ML solutions, • Communicate complex ML concepts clearly to both technical and non-technical stakeholders, • Maintain high engineering standards through testing, documentation, and version control, • Optimize ML models for production environments, ensuring scalability and efficiency, • Contribute to internal ML infrastructure and tooling, improving workflows for future projects Desired Skills/Experience: • Master’s degree in Computer Science or related field, • 7+ years of experience as a Machine Learning Engineer with proven tenure, • 2+ years with experience in PyTorch; TensorFlow a plus, • Strong software engineering skills in Python, • Deep understanding of ML fundamentals and experience building/deploying ML models from scratch in production, • Hands-on experience with large-scale, distributed systems and deploying ML in production environments, • Familiarity with ML Ops tools and practices, Git, Unix/Linux, Docker, and cloud platforms, • Background in applied ML areas such as computer vision, generative AI, graphics, or simulation, • Strong communication skills with the ability to explain technical concepts to varied audiences, • Prior experience in entertainment, media, or creative industries is a plus Benefits: • Medical, Dental, & Vision Insurance Plans, • Employee-Owned Profit Sharing (ESOP), • 401K offered The approximate pay range for this position is between $70.00 and $100.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms, including product engineering, media engineering, quality assurance, personalization, commerce, lifecycle, and identity. Lead Machine Learning Engineer.

Job Description Technical Project Manager Full time / Day Shift / Exempt Salary range: $90-145K Company: Pixelogic Media Partners, LLC provides distribution services and technology solutions to the entertainment industry. We help studios, broadcasters and digital retailers localize and distribute their feature and episodic titles to global audiences on-time and with superior quality. Our service offerings cover end-to-end workflows including language services such as scripting, subtitling, access services, dubbing, text and metadata localization in over 50 languages. Our technical services master and prepare this content in all distribution products including digital cinema, digital media and physical media (Ultra HD Blu-ray, Blu-ray and DVD). To date, we have serviced thousands of titles for iTunes, Google Play, YouTube, Netflix, Amazon, Movies Anywhere and others. We also authored thousands of Ultra HD Blu-ray, Blu-ray and DVD discs. Our research and development team works on cutting-edge technologies such as 4K, high dynamic range (Dolby Vision, HDR10+), artificial intelligence and machine learning, software automation and our proprietary end-to-end operating platform branded as pHelix. Experience start-up at scale. Be part of building innovative solutions to service our media and entertainment clients and help us fulfill their content distribution needs. Join us if you’re passionate about entertainment, innovation and customer service excellence! Responsibilities: Candidate will work with the engineering teams, end users, and engineering management to ensure the successful development and rollout of internally developed software solutions within the pHelix ecosystem. A successful candidate for this role must be able to navigate multiple complex initiatives while dealing with competing priorities, and diverse teams. The candidate must have strong interpersonal skills and be able to drive aggressive schedules while maintaining effective working relationships. The candidate must have good outward facing skills, and have the discretion needed to interact with customers and end users. In the end, this job does not have a strict job description. A strong candidate for this role will be focused on getting results and helping in whatever manner, consistent with a senior-level position and with the values of the company, will achieve those results. Although this role is initially focused on specific applications within the pHelix ecosystem, the job may evolve to include technical project management in other areas of Pixelogic systems development. A few examples of topics where the candidate may be involved include the following: • Coordinate and track development, testing and deployment schedules across technology group, as it applies to integration., • Coordinate, track and communicate development and deployment schedules across internal customers and upper management., • Manage regular internal and external communications including meetings and materials (e.g., product one-sheets, presentation decks and other marketing materials across technology group)., • Help drive continuous improvement cycle across all development, deployment, and support processes., • Ensuring technology infrastructure is available. This ranges from participating in vendor negotiations to coordinating with other organizations, such as IT and Support, to deploy and maintain., • Help ensure engineering practices are defined and consistently enforced., • Manage project resource allocations. Requirements Requirements: • Bachelor’s degree in technical discipline or business. M.S. or M.B.A. preferred., • 5+ years experience working with software development teams., • Ability to work remotely and coordinate resources in multiple time zones., • Strong experience with Atlassian products (Jira and Confluence)., • Ability to juggle multiple competing priorities., • Experience with software development processes. Experience with Agile development is required., • Experience working with senior management., • Strong consistency and attention to detail., • Strong interpersonal skills with proven ability to collaborate and self-manage., • Understanding of digital media, preferably professional film and television.

Job Description Tri Star Sports and Entertainment Group is a renowned business management firm serving high net-worth clients in the sports and entertainment industry. Tri Star provides comprehensive financial and advisory services including accounting, tax, tour management and wealth preservation strategy. We foster a culture of professionals who are committed to super serving our clients and their trusted advisors. Tri Star seeks to employ innovative methods to provide the highest level of accounting and business management services. We create a financial foundation and path to sustain growth and stability which allows our clients to focus on their fullest professional and personal goals. Position Summary As an AI specialist, you will develop and implement AI models and algorithms to address complex business challenges. You will also design, implement, and optimize AI systems to solve existing problems and enhance business operations. The ideal candidate is a skilled and innovative professional passionate about artificial intelligence and machine learning who has previous professional experience in developing AI solutions and driving technological advancements. Job Essentials, Responsibilities, Duties • Design, develop, and implement AI models and algorithms to address business challenges and improve processes., • Collaborate with cross-functional teams and stakeholders to understand obstacles, needs, and goals and translate them into AI solutions., • Optimize and fine-tune existing AI models to enhance their accuracy, efficiency, and performance., • Deploy AI solutions and ensuring their integration with existing systems., • Monitor and evaluate the performance of AI systems, making adjustments as necessary to improve outcomes., • Provide technical expertise and guidance on AI-related projects and initiatives., • Analyze large datasets to extract meaningful insights and patterns that can inform AI model development., • Develop and implement machine learning algorithms, neural networks, and other AI techniques., • Train and validate AI models using diverse datasets to ensure robustness and generalizability., • Collaborate with IT and external resources to preprocess and clean data for AI models., • Create and maintain documentation for AI models, algorithms, and workflows., • Conduct experiments to test and compare the effectiveness of different AI approaches., • Troubleshoot and resolve issues related to AI systems., • Present findings and recommendations to stakeholders, including technical and non-technical audiences., • Strong understanding of artificial intelligence, machine learning algorithms, neural networks, and deep learning techniques., • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams., • Excellent problem-solving and analytical skills, with the ability to work with complex datasets., • Proficiency in programming languages such as Python, R, or Java., • Strong knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Peras, AWS, Azure)., • Experience with natural language processing (NLP), computer vision, or reinforcement learning., • Understanding of data engineering and data warehousing concepts., • Ability and willingness to manage, lead, and drive results independently with all AI projects from concept to deployment Qualifications: • Ability to reliably commute and report to the Tri Star office., • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field., • 5 years of experience as an AI Specialist, Data Scientist, Machine Learning Engineer, or similar role in AI development., • Relevant certification in AI or machine learning (AWS Certified Machine Learning, Google AI Certification)., • Knowledge of cloud platforms for AI deployment (AWS, Azure, Google Cloud)., • Familiarity with big data technologies and tools (e.g., Hadoop, Spark). Tri Star Core Values PERFORMANCE: We provide clients with excellent reporting and service HONEST & INTEGRITY: We are transparent and accountable, always being truthful to staff and clients TEAMWORK: We actively participate in group discussions, tasks, and projects COMMITMENT: We are dedicated to our roles within Tri Star, the core values of the firm and the clients TECHNOLOGY: We seek to capitalize on innovative technologies and contribute to positive change in the firm

Our client is seeking a Machine Learning Engineer to join their team! This position is located in Burbank, California. Design, develop, debug, and deploy advanced machine learning applications using frameworks such as PyTorch and TensorFlow. Machine Learning Engineer with proven tenure.

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Engineering Manager - Model Development, Machine Learning Platform.

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Our Mission Is To Power An Interoperable Identity Layer For The Internet's Future.

We’re looking for a Machine Learning Engineer to join Snap Inc.

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Tixr's on a mission to transform the ticket buying experience with a modern approach to a legacy business.Born from a fan-focused frame of mind, we empower large-scale events, music venues, and sports properties with modern, innovative solutions to their highly-complex ticketing and e-commerce needs

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We're shaping the future of mental health care with AI-enabled experiences that enhance, not replace, the human connection at the core of therapy.Our north star is clinically-grounded and responsible AI designed to bring greater transparency, personalization, and continuous support across the therap

Principal Product Manager, Ai Evaluation Tools.It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work.Fast forward to today ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to ove

Grow your career at Cedars-Sinai!.Cedars-Sinai offers a culture of happiness, passion, and dedication.This is one of the many reasons why we rank as one of the top hospitals in California and in the nation by U.The primary focus of the Butte Laboratory is translational research in the field of bio-p

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