FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. Job Summary We are seeking a Sr Principal Scientist of Research & Optimization Sciences to lead a world-class organization of research scientists and machine learning experts focused on developing the next generation of optimization, prediction, targeting, and marketplace systems. This executive will define the scientific vision, research agenda, and technical strategy for large-scale advertising and marketing platforms, driving innovations that directly impact revenue, customer performance, and marketplace efficiency. The ideal candidate combines deep expertise in machine learning, optimization, economics, operations research, and experimentation with a proven ability to lead globally distributed research organizations. This leader will translate cutting-edge research into production systems operating at internet scale while partnering closely with Product, Engineering, Data Science, and Business leadership. Job Description Key Responsibilities: Research Leadership - Define and execute the long-term research strategy for optimization, targeting, bidding, forecasting, and marketplace systems. - Lead a global team of research scientists and applied researchers across multiple geographies. - Identify emerging opportunities in machine learning, artificial intelligence, optimization, and computational economics. - Foster a culture of scientific rigor, innovation, experimentation, and measurable business impact. Machine Learning & Optimization - Drive development of large-scale machine learning systems for prediction, recommendation, targeting, and campaign optimization. - Advance state-of-the-art approaches in: - Predictive modeling - Reinforcement learning - Causal inference - Auction theory - Multi-objective optimization - Control systems - Operations research - Oversee research from problem formulation through experimentation, deployment, and production monitoring. Marketplace & Platform Strategy - Lead innovation across demand-side platform (DSP) optimization, campaign delivery, supply optimization, and audience targeting systems. - Partner with Product and Engineering leaders to align research investments with strategic business objectives. - Develop frameworks that improve advertiser outcomes, platform efficiency, and marketplace health. Organizational Leadership - Recruit, mentor, and retain top-tier scientific talent. - Establish technical standards, research processes, and career development frameworks. - Build collaborations across research, engineering, product, and commercial organizations. - Represent the company externally through publications, patents, industry conferences, and academic partnerships. Business Impact - Translate advanced research into measurable improvements in revenue, efficiency, customer performance, and platform scalability. - Drive data-driven decision-making through experimentation and causal measurement frameworks. - Evaluate strategic technology investments and emerging opportunities. Required Qualifications - Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, Statistics, Economics, or related quantitative field. - 15+ years of experience developing machine learning and optimization systems. - 10+ years of leadership experience managing research scientists and technical organizations. - Demonstrated success deploying research innovations into production environments at scale. - Deep expertise in several of the following: - Machine Learning - Optimization - Operations Research - Control Theory - Economics and Auction Design - Statistical Modeling - Large-Scale Experimentation - Track record of publications, patents, or significant scientific contributions. - Exceptional communication and executive stakeholder management skills. - Experience leading research organizations within digital advertising, marketing technology, marketplaces, or internet-scale platforms. - Expertise in demand-side platforms (DSPs), bidding systems, targeting technologies, or advertising optimization. - Experience managing globally distributed teams. - Strong record of academic and industry thought leadership. - Consistent exercise of independent judgment and discretion in matters of significance. - Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. - Other duties and responsibilities as assigned. Success Metrics - Measurable improvements in platform performance and optimization outcomes. - Successful deployment of research innovations into production systems. - Growth and retention of scientific talent. - Patent generation and publication output. - Revenue impact attributable to optimization and machine learning initiatives. - Strategic advancement of the company's AI and optimization capabilities. Ideal Candidate Profile A recognized leader in applied machine learning and optimization research who can bridge cutting-edge science and business outcomes. This executive is equally comfortable discussing auction theory, reinforcement learning, organizational strategy, and executive-level business priorities, while building teams capable of solving some of the industry's most challenging large-scale optimization problems. Employees at all levels are expected to: - Understand our Operating Principles; make them the guidelines for how you do your job. - Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. - Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. - Win as a team make big things happen by working together and being open to new ideas. - Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. - Drive results and growth. - Support a culture of inclusion in how you work and lead. - Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment. Skills: Leadership; Mathematics Modeling; Artificial Intelligence (AI); Innovation; Business; Team-Building Salary: Primary Location Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $288,594.24 - $384,792.31 USD. Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Ph. D. Relevant Work Experience 15 Years +

Title: Life Enrichment Associate - PT Location: Asheville United States Job Description: Why join Givens? Givens Communities continues to be a positive force and advocate for older adults. We have a mission to expand the possibilities of aging by improving lives through communities, services, and outreach. Givens Communities promotes an environment of inclusion and belonging by aligning our words with actions so that everyone is welcomed and treated with dignity and respect. We continuously look for innovative approaches to achieve our sustainability goals and practices to protect our natural resources. Our collective mindset is to ensure the communities remain forward thinking and progressive as our residents seek a purpose driven life. Purpose. Passion. Possibilities. What You'll Get: - Free short-term disability, life insurance, & access to our employee assistance program - Paid time off (PTO) - Referral bonus program - 403(b) retirement plan with up to a 6% matching - Educational assistance & professional development opportunities - Flexible spending account (FSA) & access to AFLAC & Prudential Life insurance products - Fast-growing nonprofit with tons of advancement opportunities The Health Services Life Enrichment team at Givens Estates, a nonprofit continuing care retirement community, is hiring for 2 part-time Life Enrichment Associates. This is a vital role that will help facilitate and support Life Enrichment programs for our residents. The schedule for this role will be: Every Saturday and Sunday from 8:30AM to 5PM, plus one 4 hour day during the week. What you'll do: - Facilitate scheduled life enrichment programs and related activities in team and individual settings - Work collaboratively within the Life Enrichment Department across all levels of care, and collaborate with other departments as needed to support life enrichment programming. - Provides accurate and timely attendance information, participation notes, and program‑day updates to the Administrative Team Lead to support roster management, registrations, and departmental record - Supports the execution of programs and events through setup and teardown of spaces. Interacts with residents in a professional, welcoming manner to support engagement in Life Enrichment programs - Provides coverage for the reception desk as assigned, supporting front‑desk operations, resident assistance, and general departmental continuity - Operates Givens vehicles to transport residents based on assigned duties to support programs and activities both on and off campus, subject to weather and safety conditions - Perform any other duties and/or tasks that may be assigned on an as-needed basis by an authorized supervisor What you'll need: - High school diploma or equivalent required; additional education in recreation, arts, wellness, or related fields preferred but not required. - Prior experience working with older adults, in customer service, recreation, hospitality, healthcare, or service‑oriented environments preferred. - Experience supporting group activities, programs, events, or community engagement preferred. - CPR and First Aid certification preferred or ability to obtain within a reasonable timeframe, as required by assigned duties - Valid driver's license with acceptable driving record required; commercial driver's license (CDL) with passenger endorsement, or ability to obtain within a reasonable timeframe, may be required based on assigned transportation duties - Willingness and ability to work with individuals of varying physical, cognitive, and emotional ability levels Compensation is $19.00 - $21.00 per hour based on experience, plus our comprehensive benefits package! Still curious about what Givens is all about? It's kind of a long story, but at our core, we're a senior housing organization with a lot of heart and committed to providing housing to seniors of all socioeconomic backgrounds across WNC for more than 50 years. We already have five communities (three life plan communities and two affordable communities) with plans for many more in the coming years.

Description The Role: General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences. About the Organization: The Simulation team, part of the Autonomous Vehicle organization, is responsible for developing and advancing the simulation ecosystem that enables the growth and maturity of GM's autonomous driving technology. We develop scalable tools, workflows, and analysis capabilities that enable data-driven decisions across AV development, testing, and validation. Partnering with Autonomy, Systems, Safety, and other cross-functional teams, we provide the simulation foundation needed to assess system behavior, improve development velocity, and support end-to-end AV quality. We own large-scale scenario libraries, test and evaluation pipelines, and core infrastructure that support virtual testing, data analysis, model development, and validation within a unified framework. By joining this team, you will help shape GM's core simulation platforms, turn complex system behavior into actionable insights, and accelerate the development of safe, scalable autonomous vehicles. What You'll Do: - Architect large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation. - Lead cross-functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team-owned test operations and evaluation products into regular development workflows and release decision processes. - Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation test and evaluation products at scale. - Drive technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals. - Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards. - Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team. Your Skills and Abilities (Required Qualifications) - 7+ years of applied experience developing complex evaluation, simulation, or test frameworks. - Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices. - Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions. - Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders. - Bachelor's or higher degree in Computer Science, Engineering, or equivalent experience. What Will Give You a Competitive Edge (Preferred Qualifications) - Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments. - Experience working on test strategies and validation for safety-critical products. - A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies. - Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit). Hybrid/Remote: This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week. *This job may be eligible for relocation benefits if you are interested in relocating to the bay area. Compensation The salary range for this role is $160,200 - $246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

• Design, build, and deploy online machine learning models to catch evolving fraud vectors in real time. • Engineer high-frequency time-series features from over 1 trillion behavioral events, optimizing for low-latency signal extraction and pattern recognition. • Maintain and enhance our automated model training and deployment infrastructure, ensuring frictionless CI/CD of newly trained models. • Write high-performance code to minimize scoring latency at runtime, ensuring our core ML services scale seamlessly across distributed databases. • Work cross-functionally with Core Infrastructure, Product Management, and Data Science teams to translate business-level fraud patterns into robust algorithmic solutions.