Spanish Broadcasting System jobs in Tampa, FL

Spanish Broadcasting System seeks a motivated and dynamic individual with exceptional creative skills to develop multi-platform solutions sales presentation decks. Account Executive Essential Duties and Responsibilities Maintains relationships and favorable contacts on a regular basis with current and potential advertising accounts. Prospects potential advertisers and develops sales strategies to acquire new business. Services and maintains existing accounts. Familiar with standard sales concepts, practices, and procedures within the sales field. Relies on experience and judgment to plan their sales strategy to accomplish assigned budgets. Performs a variety of tasks, such as filing, copying and printing, scanning, using the fax, using computer terminal, typewriter, and other word processors, MS PowerPoint, MS Outlook, Integrated Radio System, Tapscan, Arbitron Maximazer, and e-mail. Responsible for completing and submitting fully executed Sales contracts on a timely basis to the Local Sales Manager, with all authorized signatures and corresponding approved insertion orders from advertisers. Assures data within insertion order agrees to that of the sales contract, Provides a new and revised sales contract for revisions, changes, or cancellations. Reviews contract confirmations and assures that the account has been created/input correctly as contracted, and that changes in client data or advertising schedule changes have been updated in the Wide Orbit system. Mails contract confirmation to clients and keeps a copy as support for their records. Provides copies of production orders on a timely basis to Copywriting/ Production and Continuity. Assures that when necessary, any spots that need to be “made good” are followed up on accordingly and approved by the clients. Reviews the “Contract Verification Report” listing all bumped spots and assures each advertiser is being followed up with, so that revenues are not lost. Monitors the market stations to keep informed on what advertisers are active in the marketplace and targets those accounts as potential advertisers. Works under the general supervision of the Local Sales Manager. Essential duties and responsibilities are those most important or most frequently performed duties. Employees will be required to perform other job-related duties as required. Supervisory Responsibilities None Account Executive Minimum Requirements An Associate degree or its equivalent with 2-4 years of experience in Media Sales or in a related area with a high volume of sales. 1-3 years of media experience preferred A wide degree of creativity and latitude is expected Excellent organizational skills and discipline, as well as negotiating skills. Ability to create advertising proposals and exercise excellent presentation skills. Ample knowledge of radio broadcast sales tools, such as Arbitron rating numbers, Maximiser, Wide Orbit, and Tapscan, including the use of formulas in sales proposals and presentations. Proficiency in PowerPoint and Excel required Creative and strategic thinker Strong organizational skills, excellent command of verbal and written communication Ability to prioritize and multitask under deadline pressures Work well both independently and in a team environment Bilingual Spanish/English preferred Employment/education will be verified Applicants must be currently authorized to work in the United States on a full-time basis In addition to meeting the minimum qualifications listed above, an individual must be able to perform each of the established essential functions to perform this job successfully. Physical Requirements Work involves exerting up to 20 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs may be defined as sedentary when walking and standing are required only occasionally and all other sedentary criteria are met. SBS is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize kernel-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement compiler optimizations such as fusion, sharding, tiling, and scheduling * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative kernel optimization techniques About the team #1. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. #2. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. #3. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. #4. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. #5. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 6+ years of full software development experience - Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures - Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm - Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA - Experience developing high performance libraries for HPC applications - Proficiency in low-level performance optimization for GPUs - Experience with LLVM/MLIR backend development for GPUs - Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends - Experience with parallel programming and optimization techniques - Understanding of GPU memory hierarchies and optimization strategies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- PhD in computer science, computer engineering, or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux PREFERRED QUALIFICATIONS- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Music & Arts, we provide the tools and support for you to focus on what matters most: teaching and inspiring students. With robust benefits, a commitment to innovation, and opportunities to grow your career, you'll find a rewarding and impactful role here. We are looking for educators who are not only skilled musicians but also dedicated to empowering learners. We believe that private lessons are the building blocks to a lifelong relationship with music. Our strong commitment to music education is fundamental to our business, and we work hard to find instructors who are experts in their instrument. We take care of all the administrative work so you can do what you do best: inspire learning and creating the next generation of musicians! What You'll Do: As a Music Teacher, you will create an engaging, supportive, and safe learning environment where students thrive. You will: Teach music lessons to students of varying ages and skill levels. Build positive relationships with students and parents through regular communication, goal-setting, and progress updates. Partner with store teams to schedule lessons and encourage student retention. Share your musical expertise to inspire students and foster their growth. Minimum Requirements: Bachelor's Degree in Music Education, Music Performance, or equivalent experience. 2 years of music teaching experience. Preferred Qualifications: Advanced degrees (Master's or Doctoral) in Music. Professional teaching memberships or certifications. 8+ years of teaching experience, especially with multiple instruments (banjo, baritone, bass clarinet, bass guitar, bassoon, cello, clarinet, flute, French horn, guitar, mandolin, oboe, percussion, piano, piccolo, saxophone, string bass, trombone, trumpet, tuba, ukulele, viola, violin, and voice). About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. Why Music & Arts? Here's just some of the rewards: For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations. Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to ***************************

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Music & Arts, we provide the tools and support for you to focus on what matters most: teaching and inspiring students. With robust benefits, a commitment to innovation, and opportunities to grow your career, you'll find a rewarding and impactful role here. We are looking for educators who are not only skilled musicians but also dedicated to empowering learners. We believe that private lessons are the building blocks to a lifelong relationship with music. Our strong commitment to music education is fundamental to our business, and we work hard to find instructors who are experts in their instrument. We take care of all the administrative work so you can do what you do best: inspire learning and creating the next generation of musicians! What You'll Do: As a Music Teacher, you will create an engaging, supportive, and safe learning environment where students thrive. You will: Teach music lessons to students of varying ages and skill levels. Build positive relationships with students and parents through regular communication, goal-setting, and progress updates. Partner with store teams to schedule lessons and encourage student retention. Share your musical expertise to inspire students and foster their growth. Minimum Requirements: Bachelor's Degree in Music Education, Music Performance, or equivalent experience. 2 years of music teaching experience. Preferred Qualifications: Advanced degrees (Master's or Doctoral) in Music. Professional teaching memberships or certifications. 8+ years of teaching experience, especially with multiple instruments (banjo, baritone, bass clarinet, bass guitar, bassoon, cello, clarinet, flute, French horn, guitar, mandolin, oboe, percussion, piano, piccolo, saxophone, string bass, trombone, trumpet, tuba, ukulele, viola, violin, and voice). About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.50/hr Non-Teaching Rate + $12-24/hr Teaching Rate depending on background and experience. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations. Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to ***************************

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of cutting edge Machine Learning products our customers demand. Key job responsibilities - Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers. - Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices. - Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment. - Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing. A day in the life The MLA Chassis Software team was formed to focus on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, and device control are our bread and butter. Some of us know what a Tensor is but really it's not what we do. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - Experience writing software for DDR/HBM controllers and PHYs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Key job responsibilities - Develop formal verification plans, implement and verify state-of-the-art IP architectures. - Work with block designers to gain deep micro-architectural understanding. - Develop checking algorithms, assertions, and FV models. - Perform state of the art formal methods and abstraction techniques. - Participate in test plan and coverage reviews. - Promote assertions to simulation and contribute to overall simulation strategy. - Communicate and work with team members across multiple disciplines. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- Bachelor's degree or above in computer science, electrical engineering, or related field - 7+ years of practical experience with formal verification as IP/Block owner, or equivalent academic experience in formal methods. - 7+ years of experience with formal verification techniques including abstraction and end-to-end checking, or equivalent academic experience in formal methods. PREFERRED QUALIFICATIONS- Experience with formal verification techniques including abstraction and end-to-end checking - Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby) - Understanding of u-arch design comprehension and debugging. - Practical experience with RTL design. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

New York, NY | Full-Time | Onsite A New York-based fashion brand is seeking a warm, passionate, and highly seasoned Executive/Personal Assistant to support two C-level executives. This role is best suited for a polished EA who thrives in a creative, fast-paced environment and has experience supporting founders or senior creative leaders. The Founders are dynamic, direct, and deeply invested in the culture of the company. The ideal candidate will be engaging, proactive, and comfortable offering ideas and perspective. This position requires someone who builds trust easily, navigates nuanced personal/professional boundaries, and can serve as a true gatekeeper. Compensation Base Salary: $100,000-$120,000 Schedule Onsite, 5 days per week Hours: 9:30am-6:00pm, with flexibility as needed About the Environment The office is relaxed yet driven and there is a strong sense of loyalty and community. A strong understanding of the fashion industry and the ability to thrive in an intense, creative atmosphere is essential. Key Responsibilities Complex calendar and scheduling management Daily correspondence and communication on behalf of the Founders Extensive domestic and international travel coordination Planning and coordinating team dinners at the Founders' home Assisting with preparation for Shabbat dinners Seasonal closet organization and wardrobe-related personal support Light administrative support for the Chief Merchant (based in LA) as needed Serving as a trusted gatekeeper and liaison across teams Who You Are An experienced EA/PA with a background supporting Founders, Creatives, or C-suite leaders Fashion industry experience required Warm, intuitive, and relationship-oriented Able to handle direct communication with confidence Comfortable blending personal and executive support Highly organized, unflappable, and adaptable Possess “fashion thick skin” and understand the rhythm, intensity, and nuance of a creative business Tech-savvy (Gsuite + Slack)

The Director of Healthcare Operations serves as a site representative at an assigned healthcare location for all administration and management matters directly related to the specific healthcare site. Responsibilities include: Executes the provision of administrative and employment services Serves as the initial point of contact for the assigned healthcare locations' leadership on administration and management issues Works with Company Departments to ensure system-wide compliance at the assigned healthcare location Serves as a project manager to administrative and clinical managers at the assigned healthcare location Works collaboratively on the local and system level, along with Company Departments, to manage expense and budgets Analyzes and develops timely responses to requests or changes from the assigned locations' leadership Communicate and partner with facility staff to improve system-wide performance Identifies local labor-management issues and serves as point of contact for labor issues in partnership with Company Labor Relations Maintains oversight of assigned healthcare location team members Participates in committees and engagements with assigned healthcare location leadership Qualifications include: Bachelor's degree, preferably in Business, Health Care Services, public administration or a similar field; a Master's degree is preferred 5 or more years of progressively responsible management experience within a health care facility or medical group practice Demonstrated competencies in the following areas: Planning, decision-making and implementation Analytical capacity (quantitative and qualitative) Financial management Organizational ability Oral and written communication Project management Ability to build trust through listening, supporting others and demonstrating integrity Proficiency in contract management Excellent client management and business literacy skills Proficient in use of Microsoft Office Suite (Outlook, Word, PowerPoint, and Excel) required High attention to detail Ability to maintain high standards despite pressing deadlines Ability to work well under pressure, adapt to unexpected events, prioritize and multi-task in a deadline driven environment Must be able to prioritize a variety of time sensitive tasks Knowledge and practical application of Federal, State, and local laws with a solid understanding of the general body of laws surrounding Finance, as well as some experience with HR Excellent interpersonal and communication skills Annual salary for this position is $120,000 - $150,000. The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining base salary and/or rate, several factors may be considered as applicable (e.g., location, years of relevant experience, education, credentials, negotiated contracts, budget, and internal equity). Equal Opportunity Employer

Are you an AI/ML professional ready to redefine how software gets designed and built? We're on a mission to revolutionize creative AI by enabling autonomous product design-empowering teams to visually explore, iterate, and converge on the right product faster than ever. Imagine a world where design bottlenecks and heavy documentation are replaced by seamless, intuitive, and visually-driven collaboration-powered by generative AI that understands your team's unique style. Our platform is rapidly evolving into an intelligent teammate, learning from every interaction and growing smarter with each project. As our Founding AI/ML Engineer, you'll have the rare opportunity to architect and drive the innovation behind this transformation. You'll be at the technical core, working directly with founders to push the boundaries of what's possible in AI-powered product creation. What You'll Do Build and launch impactful AI/ML systems that directly delight users and redefine design workflows. Prototype, experiment, and innovate: Turn bold ideas into real features at lightning speed. Own the AI stack: Select, train, deploy, and scale best-in-class models tailored for creative and design intelligence. Collaborate closely with product and design leaders to shape our roadmap and make strategic decisions. Set engineering standards: Establish best practices in AI/ML development, and help us grow a world-class team. Push the envelope: Apply advanced generative AI, personalization, and intelligent retrieval to create magical user experiences. Our Tech Stack Python • PyTorch • Hugging Face • LangChain • Vector Databases (Pinecone, Weaviate) • AWS/GCP/Azure • Docker • Kubernetes About You 5+ years of software/ML engineering experience (with at least 2 years focused on generative AI or ML products). Expertise in Python and frameworks such as PyTorch or TensorFlow. Fluency across the AI lifecycle: from data wrangling to production deployment. Proven 0→1 builder: You thrive in fast-paced, ambiguous environments and ship impactful products. Strategic mindset: You understand how AI drives real product and business outcomes. Bonus Points Experience in retrieval, indexing, personalization, or NLP Start-up or early-stage company background Track record of mentoring or leading engineers Advanced degree (Master's/PhD) in AI or related field Experience launching products to large user bases Why Join? Massive ownership & creative freedom: Shape not just features, but the future of our product and company. Ground-floor impact: Define the technical heart of a category-defining platform. Cutting-edge challenges: Work on one of the most exciting frontiers in AI and product design. Ready to take your career to the next level and leave your mark on the future of AI-driven product creation? Apply now and let's build something unforgettable-together.

Maintenance & Refrigeration Lead Pay: $80,000 - $115,000 + Bonus + 5K Sign-on The Maintenance & Refrigeration Lead is a critical leadership role responsible for overseeing the Maintenance and Refrigeration teams to ensure the safe and efficient operation of all utilities and production equipment across the facility. This includes systems such as refrigeration (preferably ammonia), cogeneration, boilers, compressed air, and water. The Lead is accountable for daily maintenance scheduling, troubleshooting, safety oversight, team leadership, and coordination of both corrective and preventative maintenance. This role also serves as a hands-on technical expert and liaison between maintenance and production operations. What You Will Do: Team Leadership & Oversight Supervise refrigeration mechanics, coil cleaners, cogen operators, and maintenance technicians. Lead passdown meetings and ensure alignment across shifts. Assign, coordinate, and follow up on daily work schedules and emergency repairs. Monitor team compliance with lunch/breaks and shift safety procedures. Support evaluations and development plans for maintenance team members. Reallocate technicians as needed to meet changing priorities. Maintenance & Utilities Operations Perform and assign preventive and corrective maintenance on all utilities systems: refrigeration, steam, water, air compressors, and cogeneration equipment. Diagnose mechanical and electrical issues, troubleshoot systems, and execute repairs or upgrades. Ensure uptime of critical equipment by implementing lifecycle management best practices. Pull and report data for regulatory agencies (e.g., SCAQMD). Maintain wrench time at 95% or above; ensure accurate and timely entry in CMMS. Planning, Scheduling & Documentation Work with planners to scope, kit, and assign work orders. Prioritize safety and regulatory compliance tasks. Manage parts procurement, quotes, and inventory tracking. Support planning calendars and ensure labor and parts readiness for future jobs. Review and verify work orders for completeness, accuracy, and timeliness. Ensure full utilization of CMMS systems for maintenance tracking and metrics reporting. Facilities & General Maintenance Support facility services and minor building moves or repairs. Assign and coordinate vendor or contractor work for high-complexity tasks. Perform general building upkeep: electrical, plumbing, pneumatic, machining. Assist with inspections and internal/external audits. Safety, Compliance & Training Enforce GMP, PPE, HACCP, sanitation, and plant safety protocols. Conduct lock-out/tag-out procedures and routine safety inspections. Train and develop technicians to support food safety and OSHA compliance. Ensure all personnel complete required technical and safety training. Minimum Qualifications: High school diploma or GED Physically able to lift 40 pounds repeatedly +10 years of refrigeration maintenance experience (preferably ammonia-based) Strong understanding of utilities equipment including cogen systems Experience with team leadership and technical supervision Willingness to work overtime and weekends as required

At Music & Arts, we provide the tools and support for you to focus on what matters most: teaching and inspiring students. With robust benefits, a commitment to innovation, and opportunities to grow your career, you'll find a rewarding and impactful role here. We are looking for educators who are not only skilled musicians but also dedicated to empowering learners. We believe that private lessons are the building blocks to a lifelong relationship with music. Our strong commitment to music education is fundamental to our business, and we work hard to find instructors who are experts in their instrument. We take care of all the administrative work so you can do what you do best: inspire learning and creating the next generation of musicians! What You'll Do: As a Music Teacher, you will create an engaging, supportive, and safe learning environment where students thrive. You will: Teach music lessons to students of varying ages and skill levels. Build positive relationships with students and parents through regular communication, goal-setting, and progress updates. Partner with store teams to schedule lessons and encourage student retention. Share your musical expertise to inspire students and foster their growth. Minimum Requirements: Bachelor's Degree in Music Education, Music Performance, or equivalent experience. 2 years of music teaching experience. Preferred Qualifications: Advanced degrees (Master's or Doctoral) in Music. Professional teaching memberships or certifications. 8+ years of teaching experience, especially with multiple instruments (banjo, baritone, bass clarinet, bass guitar, bassoon, cello, clarinet, flute, French horn, guitar, mandolin, oboe, percussion, piano, piccolo, saxophone, string bass, trombone, trumpet, tuba, ukulele, viola, violin, and voice). About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. Why Music & Arts? Here's just some of the rewards: Pay Rate: $16.50/hr Non-Teaching Rate + $10.50-22/hr Teaching Rate depending on background and experience. For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks, including 401K plus company match, employee discount program, and more. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations. Additional Information: Music & Arts is an Equal Opportunity Employer and provides fair and equal employment opportunity to all employees and applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State, or local laws. All employment decisions are based on valid job? related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to ***************************

Skill required: React 18+, TypeScript, React Query, Redux, CSS/CSS3, CSS Modules, Tailwind or CSS-in-JS (Emotion/Styled-Components); HTML, JavaScript, Responsive Design, API Integrations (REST/GraphQL), Accessibility Key Responsibilities: Lead end-to-end front-end development with React 18+, TypeScript, modern state management (Redux Toolkit) and data-fetching (TanStack Query/React Query). Translate product requirements and UX designs into responsive, accessible interfaces; enforce design-system usage (Storybook), component reusability, and clean code standards. Define front-end architecture patterns (module federation/micro-frontends where applicable), build pipelines (Webpack/Vite), and CI/CD integration. Optimize performance (bundle size, code-splitting, memoization, virtualization) Integrate REST and GraphQL APIs; collaborate with back-end teams on contract-first development, versioning, and reliability.

MANGO is a multinational fashion company that designs, manufactures and markets clothing and accessories. At MANGO, we inspire and unite through our passion for style and culture. We are in 118 countries and our online presence extends to more than 85 countries. Our team is made up of people of 112 nationalities. In our team, we are proactive and dynamic, with communication skills and we are always open to new challenges. We are a young and multicultural team, we love the good vibes we have and we work together to achieve results. We are informed of trends and current events in the retail world. Job Details: For our MANGO store located at the Roosevelt Field Mall in Garden City, New York we are currently recruiting for a Key Holder to join our team! Key Responsibilities: Guarantee the best customer experience within the store providing all the support that customers might need. To achieve this, it will be key to possess good product and fashion knowledge, positive attitude and the will to make customers feel at home. Ensure that the standards of the shopfloor are spotless: product well replenished and that the store clean, tidy and merchandised in an attractive way in order to maximize sales and offer the experience that our customers deserve. In terms of security standards, either in fitting rooms, stockrooms, shopfloor, or cash desk, they must be adhered to. While working at the cash desk, Key Holder are expected to process all register transactions in a smooth, efficient, and accurate way to ensure that the last part of the experience in the store is enjoyable and satisfactory for the customer while ensuring that all the policies and procedures are followed strictly. When working in the stockrooms, Key Holder are expected to participate in all objectives related with operations of the back areas including: delivery, replenishment, transfers in & out, maintenance of the standards of the stockroom, inventories and keeping the area clean, tidy and organized. Key Holder Responsibilities: Open and close the store, ensuring all security procedures are followed. Handle cash management responsibilities, including deposits and safe counts. Lead by example in customer service, sales, and store operations, fostering a positive and productive work environment. Act as the Manager on Duty (MOD), taking charge of store operations, team support, and customer experience during assigned shifts. Drive personal sales performance while actively contributing to team selling and overall store goals. Requirements: Preferred 1+ years prior work experience in a retail sales environment Customer service oriented Independent work ethic, time management skills Self-motivated with a desire to achieve results and excel individually, and as a team High energy, enthusiastic, passionate, and upbeat attitude Fosters genuine connection through compassion, empathy, integrity and building trusting relationships Strong communication skills Ability to adapt - energy and speed Computer skills to operate point of sale system is a plus What makes us special? As a member of the Mango team, you'll get a 40% discount on all our lines, so that you'll always be wearing the latest! Insurance Benefit: You only pay a % of the value! Pet Insurance - Partnering with MetLife, covering up to 90% of veterinary expenses. 401(K) Pension Plan Holidays + Wellness Days Vacation Days Commuter Benefits Bonus and/or Commission paid monthly At Mango, we invest in your personal and professional development. Access a wide range of training courses, personalized mentoring, continuous development programs and internal promotion opportunities that will drive you toward success. Think big! Mango offers you international opportunities in over 120 markets for you to broaden your horizons and grow with us globally. The pay rate for this position at commencement of employment is expected to be $16.50-18.50/hourly; however, base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. The Company reserves the right to modify this pay rate at any time. You got it? We like you

Job DescriptionCore Responsibility: The Media Consultant position puts you face to face with local business owners and advertising agency representatives, from cold calling to closing the sale. You'll be responsible for building relationships and selling all BBGI assets as marketing solutions to help your clients meet their key business challenges. Requirements Motivated, enthusiastic self-starter that can work effectively in a team environment and independently as needed. Possess a great attitude, have excellent oral and written communication skills, be effective with time management, be a strong negotiator, and be detail oriented. Be able to professionally present, strategically consult, sell, and service both potential and existing clients. Essential Duties: Presenting and Selling Maintain existing business relationships while striving to increase billing and market share. Attain new business accounts and sponsorships for our company. Develop and maintain ongoing relationships with corporate, advertising, and public relations communities. Create and present marketing programs to local businesses, corporations, and advertising agencies. Solicit client investment for broadcast and non-broadcast projects, experiential marketing, streaming audio and other projects as assigned by management. Maintain an organized format on each sales call, covering all important topics: client marketing analysis, target consumer needs, benefits sought, assignments and follow-up. Identify, contact, develop and sell new accounts in keeping with individual sales goals. Planning Prepare for each sales call-in advance. Know the relevant business reason for seeing the client. Know the customers' target consumer and previous years' investment. Research the industry to have basic knowledge of important trends and changes. Achieve Budget Goals Achieve or exceed monthly, quarterly, and annual revenue goals by category as assigned by management. Service Customers Communicate regularly with top Key and Target accounts regarding their marketing campaigns, event sponsorships, etc. Act as primary liaison between Beasley Media Group and customer to assure superior customer service, quick resolution to problems, and access to additional marketing opportunities. Develop mutually beneficial relationships with key client stakeholders, leadership, and ownership. Product Knowledge of Key and Target Accounts Leverage knowledge of BBGI products, benefits, pricing, competitive, qualitative, and quantitative information to the benefit of your clients Continually update and expand your expertise with advertising/marketing, promotions, events, digital, audio, and video campaigns. Be familiar with features, benefits, strengths, and weaknesses of competitors. Administrative Duties Consistently plan and organize work efficiently, i.e., schedules, working appointments in advance Maintain updated account and sales records by effectively using company CRM. Provide organized and well thought out reports as requested by management. Coordination and Communication Regularly communicate with direct supervisor to discuss progress, specific needs, sales rates, etc. Consistently provide weekly accomplishment updates to management through CRM Be available to work on all client promotions and experiential marketing activities when requested. Powered by JazzHR A5I8sAW7XI

In this role you will be responsible for leading a technical team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization. Key job responsibilities * Provide technical leadership to the Compute Sanitization team * Work closely with the hardware and firmware design teams. * Collect requirements from various other teams including training, inference and runtime. * Collaborate with the runtime team to ensure timely release of the pre-check tools. * Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. BASIC QUALIFICATIONS- 10+ years of engineering experience - 10+ years of planning, designing, developing and delivering consumer software experience - Experience partnering with product or program management teams - Experience as a tech lead of a large group of engineers PREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications - Experience with ML hardware/Software Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Core Responsibility: The Sports / Experiential Partnerships Director (Hereinafter "Director") position puts you face to face with local, regional and national business owners, advertising agency representatives, and corporate marketing personnel to create sponsorships and partnerships for Beasley Media Tampa Bay (Hereinafter "Beasley"). You'll be responsible for building relationships, planning, executing, and selling all Beasley Sports and Experiential assets as marketing solutions to help your clients meet their key business challenges. You will also manage the operations of all Experiential Events current and future. Requirements * Motivated, enthusiastic, self-starter that can work effectively in a team environment and independently as needed. * Possess a great attitude, have excellent oral and written communication skills, be effective with time management, be a strong negotiator, and be detail oriented. * Be able to professionally present, strategically consult, sell, and service both potential and existing clients. * Assisting local media consultants with opportunities to monetize Sports and Experiential assets. Essential Duties: * Presenting and Selling * Maintain existing business relationships while striving to increase billing and market share. * Develop new partnership and sponsorship accounts and sponsorships for our company. * Create and maintain ongoing relationships with corporate, advertising, and public relations communities. * Present sports and experiential marketing programs to local businesses, corporations, and advertising agencies. * Collaborate with local Beasley Tampa Media Consultants to assist in the presentation and sales of Sports and Experiential assets. * Planning * Create "Run of Show" presentations for all Sports and Experiential assets * Develop all relevant sales collateral in collaboration with Beasley Director of Sales including pricing, asset allocation, inventory usage, and sponsorship categories * Plan and execute all experiential events in a profitable and professional manner * Achieve Budget Goals * Achieve or exceed monthly, quarterly, and annual revenue goals for all events as assigned by management. * Service Customers * Communicate regularly with top Key and Target sponsor partners regarding their event sponsorships, etc. * Act as primary liaison between Beasley Media Group and all relevant sponsors to assure superior customer service, quick resolution to problems, and access to additional marketing opportunities. * Develop mutually beneficial relationships with key client stakeholders, leadership, and ownership. * Product Knowledge of Key and Target Accounts * Leverage knowledge of BBGI products, benefits, pricing, competitive, qualitative, and quantitative information to the benefit of your clients * Continually update and expand your expertise with partnership marketing, promotions, events, as well as digital, audio, and video support campaigns. * Be familiar with features, benefits, strengths, and weaknesses of competitors. * Administrative Duties * Consistently plan and organize work efficiently, including the creation of event schedules, event timelines (buildout, load in, teardown), etc. * Maintain updated account and sales records by effectively using company CRM. * Provide organized and informative event revenue and expense reports as requested by management. * Coordination and Communication * Regularly communicate with direct supervisor to discuss progress, specific needs, sales rates, etc. * Consistently provide weekly accomplishment updates to management through CRM * Be available to work on all client promotions and experiential marketing activities when requested.

Are you interested in joining a Global Investment Management Firm? Our client is looking for a dynamic individual ready to join our team as a Service Desk Engineer . We will be building out a new environment with state of the art technology. Your key responsibilities include: Act as a first point of contact for users striving towards first call resolution but able to escalate when needed. Deliver advanced hands-on and remote support for critical end-user computing tasks, such as telephony (Cisco and dealer voice), mobile devices (iOS and Android), and video conferencing systems (Zoom). Engage in collaborative efforts with second and third level technology teams, both domestically and internationally, to resolve complex or urgent issues. Create and manage detailed logs of incidents and requests, identifying trends. Handle user requests and incidents through multiple channels including walk-ups, chats, email, MS Teams, and ticketing systems. Building and deploying PCs and laptops.