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Job DescriptionPosition Overview The Rider/Performer role involves physical performance, acting, stunt work, guest interaction, and upkeep of props and costumes during live dinner shows. It requires strong fitness, teamwork, vocal talent for speaking roles, and strong horse-handling skills in a fast-paced setting. The role requires hands-on experience of entertaining and acting in front of a large audience. It involves acts with horseback riding. The Rider/Performer is a role that is played during live-action performances in front of a crowd. The Performer contributes to the overall show quality by consistently maintaining a standard of excellence in performing horseback riding, horse acts, and stunt choreography. Role Gender: Male Age Portrayed: 20 to 30 years old Key Responsibilities: • Study, rehearse, and perform lines, gestures, and fights for theatrical productions., • Portray roles on stage and provide narration as required., • Execute acts, stunts, and choreographed fights to engage audiences., • Choreograph and perform original acts; demonstrate acrobatic, aerial, and riding skills as needed., • Exhibit mastery of various weapons for stunts and contribute to the show’s vision., • Maintain safety and quality of props; handle, ride, and perform stunts with horses., • Interact with guests, sign autographs, take photos, and assist with special events., • Improvise and take on additional assigned duties as necessary.Physical Requirements, • Must be able to authentically portray a character in their 20s to mid-30s, as required by the story's core artistic vision., • Ability to lift and carry up to 50 lbs., • Physical agility, ability to perform all physical requirements of the show., • Ability to swing swords and other props and weapons overhead and strike them against other fighters., • Ability to ride and safely fall off horses., • Ability to work with and around horses., • Physical ability to stand, walk, and run for extended periods on uneven surfaces and in the sand., • Ability to communicate with Team Members and Guests. Work Environment • Shows are held in an enclosed arena where chemical fog and pyrotechnic effects are present., • The position involves working in dusty, dirty, and variable temperature conditions., • Exposure to live animals, loud noises, and backstage activity is frequent.Qualifications, • 1-2 years of Horse-Riding or Horse-Skills and experience required., • 1-2 years of acting and performance in front of large crowd is preferred., • Experience as stuntman, actor and entertainer with sword fighting and acting skills will be considered as an asset., • Must be able to authentically portray a character in their 20s to mid-30s, as required by the story's core artistic vision.

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment. What We're Looking For: • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionCompany Description Join Wynn Resorts’ Information Security Operations Center (SOC) and help protect one of the world’s premier hospitality and gaming organizations. As part of our “WE Life” culture, you’ll lead a strategic group of analysts with hands-on experience across the full incident lifecycle—detection, triage, response, and remediation—in a fast-paced, high-stakes environment. Job Description The Senior Cybersecurity Analyst is a key member of Wynn Resorts’ Information Security Operations team, responsible for advanced threat analysis, incident response, proactive threat hunting, and continuous improvement of security controls across Wynn’s global enterprise. This role provides expert technical leadership during security events, drives strategic enhancements to detection and response capabilities, and ensures the protection of sensitive systems and data. The analyst will collaborate with cross-functional teams and contribute to the development of a resilient, compliant, and security-aware organization. Key Responsibilities Threat Detection, Triage & Analysis • Perform Level-3 triage and deep-dive investigations for advanced alerts across SIEM, EDR/XDR, email security, cloud security, network telemetry, IAM platforms, and application logs., • Lead incident intake, impact analysis, triage logic development, and event correlation across multiple data sources., • Validate, tune, and improve detection rules, thresholds, and correlation logic to minimize false positives and maximize visibility., • Lead security incidents from detection through containment, eradication, and recovery., • Coordinate with IT, Network, Cloud, Database, Legal, Compliance, and leadership teams to drive timely remediation., • Produce executive-level incident summaries, detailed technical analysis reports, and lessons-learned documentation., • Conduct proactive threat-hunting exercises across endpoints, identities, network flows, and cloud activity logs., • Develop hypotheses, test scenarios, evaluate anomalous behavior, and uncover unknown or sophisticated threats., • Partner with engineering teams to enhance SIEM/EDR configurations, detection content, dashboards, and automated response playbooks., • Design and implement enterprise-wide security controls and frameworks., • Support secure development practices and architecture reviews., • Conduct risk assessments, vulnerability management, and penetration testing., • Ensure compliance with relevant frameworks (NIST, ISO 27001, PCI DSS, HIPAA) and regulatory requirements., • Develop and maintain SOC runbooks, IR playbooks, and security procedures., • Lead or support security awareness and training programs for staff., • Develop and maintain scripts and automation for security operations (Python, PowerShell, etc.)., • Support security projects, tool deployments, audits, and assessments.Qualifications Qualifications • Bachelor’s degree in information security, Computer Science, or equivalent work experience., • 5–10 years of hands-on experience in SOC operations, incident response, threat analysis, digital forensics, or similar security functions., • Deep understanding of SIEM platforms, EDR/XDR tools, identity systems, email security, network and firewall logging, and cloud security concepts., • Strong familiarity with MITRE ATT&CK, cyber kill chain, and threat-actor TTPs., • Experience with risk management, vulnerability assessment, penetration testing, and compliance frameworks (NIST, ISO 27001, PCI DSS, HIPAA)., • Proficiency in scripting and automation (Python, PowerShell)., • Excellent written and verbal communication skills, including executive-ready reporting., • Experience in hospitality, gaming, or 24/7 enterprise environments., • Certifications such as CISSP, CISM, Security+, CySA+, GCIA, GCIH, CEH, or similar., • Experience with threat intelligence platforms, YARA/Sigma detections, or automated SOAR workflows., • Familiarity with data classification, DLP controls, and data movement monitoring. You’ll join a dedicated team protecting one of the world’s premier resorts and gaming operations. This role offers a unique opportunity to build deep SOC and incident-response expertise in a dynamic, high-stakes environment, with hands-on responsibilities across the full incident lifecycle. Additional Information Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws.