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Job Description At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Machine Learning Engineer (Recommendation Systems) Philo's recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and viewing habits. We want users to be confident that Philo will have something they want to watch every time they open the app. We are seeking a Senior Machine Learning Engineer to lead our content personalization efforts, shaping experiences that impact millions of users. In this role, you will research, design, and build advanced algorithms and large-scale systems that power Philo's recommendation engine. As a senior member of a growing team, you will tackle complex machine learning challenges and collaborate with data science, product, infrastructure, and backend engineering teams to deliver innovative, data-driven personalization solutions. Your work will directly impact content discovery, deepen user engagement, and drive long-term retention. Responsibilities: • Lead development of recommendation systems: Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization., • Drive ML innovation at scale: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across regions and product areas., • Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment., • Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set clear expectations, and deliver measurable improvements in user engagement., • Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to develop state-of-the-art recommendation models., • Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback., • ML Vision and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs., • 8+ years of experience in backend engineering and/or data science, including 4+ years focused on machine learning. Experience with recommendation systems is a big plus., • Strong coding skills in Python, as well as proficiency in using ML frameworks like PyTorch or TensorFlow., • Excellent analytical and problem-solving skills, with the ability to translate complex technical challenges into business solutions., • Proven track record of leading projects and delivering impactful machine learning solutions., • Strong communication and documentation skills; capable of explaining complex, technical concepts to non-technical stakeholders and to diligently document your work to help the team as a whole learn and move quickly. At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email and we'll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a Facebook co-founder and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: • San Francisco, New York City: $175K - $235K, • Boston, DC Metro, Los Angeles, Seattle: $165K - $225K, • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $215K, • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role As a Senior Software Engineer, Cloud Platform at Chef Robotics, you'll be responsible for designing, implementing, and maintaining the cloud infrastructure and deployment systems that power our robotics platform. You'll focus on provisioning robots for seamless deployment, enabling remote software updates to enhance performance and reliability, and developing cloud infrastructure that supports real-time robotics operations. This role requires expertise in cloud platforms, containerization, and infrastructure automation to ensure scalable and reliable deployment of our robotics systems across customer environments.Cloud Infrastructure & Deployment • Design and implement cloud infrastructure to support robotics platform deployment and operations, • Provision robots for seamless deployment across diverse customer environments, • Enable remote software updates to enhance performance and reliability of deployed systems, • Implement containerization (Docker) and orchestration (Kubernetes) for scalable deployments, • Manage cloud infrastructure across AWS, GCP, or Azure platformsSystem Reliability & Performance, • Improve the performance and reliability of cloud services supporting the Chef system, • Implement fault-tolerant design patterns to ensure reliability in production environments, • Establish performance benchmarks and optimize systems to meet latency requirements for robotics operations, • Implement comprehensive logging, monitoring, and alerting for cloud infrastructure, • Create diagnostic tools and dashboards for operational visibilityDevOps & Automation, • Implement CI/CD practices and infrastructure-as-code principles, • Develop automated deployment pipelines for robotics software and services, • Create and maintain deployment scripts and configuration management systems, • Establish version control and rollback mechanisms for system updates, • Develop tools for consistent environment provisioning and managementData Pipeline & Integration, • Maintain secure and efficient data pipelines between on-device and cloud services, • Implement systems to support real-time communication between robotics systems and cloud infrastructure, • Design cloud architecture that supports telemetry data collection and processing, • Ensure secure authentication and authorization mechanisms across cloud servicesRequired Qualifications - Technical Expertise, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • 5+ years of professional experience in cloud infrastructure and DevOps roles, • Expert knowledge of cloud infrastructure and deployment (AWS, GCP, or Azure), • Strong proficiency with containerization (Docker) and orchestration (Kubernetes) technologies, • Extensive experience with CI/CD practices and infrastructure-as-code principles, • Experience with system monitoring, logging, and performance optimization, • Understanding of secure data pipeline design and implementationDomain Knowledge, • Understanding of infrastructure requirements for robotics or automation systems, • Experience with real-time or near-real-time systems and cloud architecture, • Background in developing reliable systems with high availability requirements, • Knowledge of deployment automation and configuration management, • Familiarity with system performance optimization including latency and scalabilityPersonal Attributes, • Strong problem-solving skills with a systematic approach to infrastructure challenges, • Excellence in technical communication and documentation, • Proactive mindset in identifying potential issues and implementing solutions, • Comfort with working in a fast-paced startup environment, • Passion for robotics and automation technology, • Collaborative approach to cross-functional engineering teamsDesired Qualifications, • Experience with robotics hardware deployment and management, • Knowledge of ROS (Robot Operating System) or similar frameworks, • Experience with time-series databases for telemetry data, • Familiarity with message queue systems for distributed systems, • Background in manufacturing, food production, or industrial automation, • Experience with WebSockets for real-time communication, • Knowledge of Redis for caching and distributed system patternsKey Projects You'll Work On, • Provisioning robots for seamless deployment across customer sites, • Implementing remote software update systems for deployed robotics fleets, • Improving the performance and reliability of cloud services supporting the Chef system, • Building automated deployment pipelines for robotics software

Job DescriptionCompany Description SquareTrade is the fastest growing company of its kind. We’re revolutionizing a $30b industry with service innovation and attention to customer satisfaction. We partner with some of the largest, most sophisticated retailers and carriers in the world (Amazon, Walmart, The Home Depot to name a few), consistently win industry awards, have received tens of thousands of 5-star reviews… and we’re just getting started. A member of the Allstate family, SquareTrade has headquarters in San Francisco and London. We are currently expanding in Europe and Asia Pacific, including Japan and Australia. Job Description Our leading-edge Agile team in the engineering group is looking for a motivated and energetic Software Engineer who is eager to learn and make big changes to our mission critical applications. This is an exciting time to join, as we continue to rapidly expand and look for new ways to improve our architecture and solution offerings to serve the millions of customers around the globe. Your opportunities for achievement are limitless with SquareTrade/Allstate. We embrace a fast-paced Agile XP environment where we practice pair programming and TDD. You’ll have the opportunity to work with the engineering leads, product and design teams, as well as other developers to deliver applications which are scalable, secure, robust and highly performing. We adopt microservices architecture, distributed technologies, latest frontend frameworks and sophisticated monitoring tools. Key responsibilities • Participates in iteration planning meetings, infusing backlogs with technical input, • Designs, develops, and maintains secure, scalable, and high-performance microservices and APIs using modern frameworks (e.g. Java, Spring Boot, Kafka, ElastiCache), • Designs, develops, and integrates Generative AI modules (e.g. ChatGPT, Gemini, RAG, Python), and fine-tunes results for specific use cases, • Performs continuous integration, continuous delivery, and continuous deployment pipelines on AWS and Microsoft Azure, • Monitors in production and improves system performance, reliability, and scalability, • Adopts XP methodology and practices paired programming and test-driven development (TDD) daily, • Participates in daily standups, code reviews and retrospectivesQualifications, • Bachelors in Computer Science or related majors is REQUIRED, • 3+ years of professional software development experience with a successful track record, • Proficiency in Python, Java, Spring Boot, Kafka and microservices framework, • Exposure to Generative AI technologies and use cases, • Hands-on experience with Test-Driven Development (TDD) and writes high-quality, testable code, • Comfortable working in a pair-programming (XP) environment, • Experience with relational databases, such as PosgreSQL, • Familiarity with code versioning tools such as Github, • Familiarity with build pipeline such as Jenkins Desirable skills • Familiarity with cloud and hybrid environments, including Azure, AWS, and on-prem systems, • Familiarity with web related technologies, such as Angular, JavaScript, CSS, • Knowledge of CI/CD pipelines, Docker, Kubernetes and DevOps practices, • Experience in the warranty, insurance, fintech, or e-commerce domains Additional Information At SquareTrade you'll have access to: • Medical, dental and vision coverage with network optionality and the ability to contribute to a savings account (HSA or FSA), • Up to 4% company match into 401(k) and contributions into your company-sponsored pension, • $75/month budget to help prioritize your physical wellbeing, • $80/month stipend to subsidize connectivity costs, • Mental health resources including free 1:1 therapy, coaching sessions and digital resources, • Supportive leave policies, • Flexible Time Off Policy in addition to 9 Company Holidays, • Tuition reimbursement up to $5,250 per year to further your personal educational advancement desires, • Hybrid work arrangements with regular investment in gatherings/offsites to spend time together as team SquareTrade estimates the possible base compensation for this role, if hired in the San Francisco Bay Area, California, to be in the range : $140K - 170K SquareTrade estimates the possible base compensation for this role, if hired in the Denver, Colorado, to be in the range : $90K - 140K The candidate(s) offered this position will be required to submit to a background investigation. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. SquareTrade is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive work environment for all employees. We celebrate diversity and encourage applications from all qualified individuals regardless of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Beware of Recruitment Fraud. For more information, please click “here”.

We have an opening for a Amazon Customer Service Representative to work collaboratively across teams and departments, assist with processing returns and exchanges, and coordinate tasks to ensure deadlines are met. Other duties include maintain accurate records and documentation, gain knowledge of co

Simple Application, Immediate Hire.All Experience Levels Encouraged to Apply.Full Time, Part Time & Seasonal Openings Available.

Start strong with Amazon Remote Customer Service Rep and support customers or operations from home.

An exciting opportunity awaits for a Amazon Customer Service Representative (Remote) to perform responsibilities as a Customer Service Representative (Remote).

Additionally, Facilities Services has a support service group which consists of Accounting, Customer Care, Fleet Services, Procurement - Contracts and Storehouse, and the Call and Business Center. Customer Service Representative (4722C), Facilities Services - 84569. Facilities Services, a department

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Customer Service Representative – Community Events. Customer Service Representatives. This role combines customer interaction with event support in a team environment.

Strong customer service and interpersonal skills. Communicate clearly regarding inventory needs, equipment issues, and service priorities. This role is ideal for someone passionate about hospitality, coffee, energized by fast-paced service, and committed to creating memorable moments for every guest

Customer Service / Remote] - Anywhere in U. Flex Schedule 7a-11p EST / Medical-Dental-Vision-Life-AD&D / 401(k) +3% / Generous PTO + Parental Leave - As a FT - Call Center Representative - Work From Home at Lap Of Love, you will: Assist clients with their end-of-life care needs by answering phone ca

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Receive inbound/ make outbound calls to clients to learn about and address their needs, complaints, or other issues with products or services; Respond efficiently and accurately to client inquiries, explain possible solutions, and ensure that clients feel supported and valued; Present a professional

DOE / Health-Dental-Vision-Life-FSA-HSA / 401(k) plan - As a Call Center Representative, you will: Assist customers with inquiries and concerns through multiple communication channels including phone, email, and chat; Provide exceptional customer service by actively listening, empathizing, and findi