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Summary/objective

Interpret client / sales needs to produce a presentable AV package (BOM, labor hours, scope of work and system functional sketch).

Essential functions

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

• Design a functioning Audio/Visual system per a project template from Sales Team.
  • Complex conference and training rooms.
  • Complex audio designs including stadiums, auditoriums and soundmasking.
  • Understand video and audio conferencing systems including but not limited to, LifeSize, Polycom, Tandberg, and Microsoft Lync (and other USB/PC based conferencing solutions).
• Conceptualize and sketch designs prior to handing off to Sales Team.
• Be flexible and creative when designing A/V systems to match customer needs and budget.
• Apply standards in place into all designs, and work with inventory team to keep costs low.
• Assist Sales Team with the overall sales process to ensure sales is successful.
• Assist Sales Team with pre-design job-site walks when required.
• Enter design related time into NetSuite.

• The Role
  • At Taiwan Semiconductor Manufacturing Company (TSMC), We Develop the Technologies that Shape the Future and Change the World! We are seeking an enthusiastic individual looking for challenges to join our support center team at TSMC Arizona Fab. You bring vast technical knowledge and customer service skills to complete an array of tasks, requests, and maintenance duties. TSMC offers an industry-leading competitive total compensation package. Let’s unleash innovation together, come join us.
• Responsibilities
  • Be able to communicate technical information in an accessible manner to non-technical employees.
  • Ensure uninterrupted operations of business-critical systems such as Fab systems and applications.
  • Assist colleagues across the organization, including remote employees, with IT difficulties.
  • Be responsible to cases tracing and follow-up from user or system alarm notifications.
• Requirements
  • Associate degree or equivalent work experiences.
  • Prior experience working on a Helpdesk, in IT, or similar technical function is a plus.
  • Be willing to take the challenges and changes.
  • Strong customer service and communication skills.
  • Have excellent problem-solving and troubleshooting skills.
  • Able to work on a compressed work week schedule including night shift if clearly communicated and committed during the hiring process.
  • Typical shift is 12 hours long, alternating between three and four days every other week
  • Must be able to speak and read both English and Mandarin with a high degree of proficiency

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer, Machine Learning Responsibilities:

• Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
• Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
• Leading a team from a technical perspective to develop ML best practices and influence engineering culture
• Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
• Suggest, collect and synthesize requirements and create effective feature roadmap
• Code deliverables in tandem with the engineering team
  

What You’ll Do Here:

• Limited time events (seasons) with unique and fun gameplay
• Quests and other daily activities that drive user retention
• Social experiences that make every moment better with others
• Design, write, debug and refine networked gameplay systems and features
• Iterate quickly in response to testing feedback and iterations
• Provide technical insight and ideas regarding game design
• Work closely with designers and back-end engineers on both real-time and asynchronous features

The IT Support Specialist provides technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. As the face of IT for all users in the company, this role requires a persistent and dependable work ethic with strong customer service skills.

This is a position in a highly collaborative environment working with other skilled professionals. The role offers competitive pay and vast opportunities for growth within the organization.

Are you inspired by invention? Is problem-solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture?
Answer yes to any of these, and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply leading-edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

We are seeking a Marketing Technologist to enhance and automate marketing processes, optimize email marketing performance, and drive data-driven decision-making. This role bridges the gap between marketing and technology, focusing on automation, content generation, audience segmentation, and analytics. The ideal candidate is a tech-savvy marketer with experience in marketing automation platforms, email marketing, and performance tracking.

We are searching for a senior designer with a passion for creating compelling yet simple gameplay. You're driven by accessibility and simplicity. You have experience in design at creating playable characters and player abilities. You have the knowledge to create memorable heroes that are unique in their identity and gameplay. You can drive your design from creation to implementation and balance, as well as bug fixing. You adapt and align with the project fantasy and think of the user experience in everything you do. You are passionate about video games, knowledgeable about Overwatch, and are excited to contribute to the overall success of the game!

DAS Technology is on the lookout for a meticulous and self-motivated Digital Content Editor who thrives in an independent work environment. This full-time, onsite position ensures the accuracy and completion of various departmental tasks through carefully auditing contracted services. If you take pride in your attention to detail and prefer a role with clear tasks and minimal oversight, we’d love to hear from you!

Join the Affirm team as a Machine Learning Engineer and contribute to the success of our ML Underwriting team. We are the driving force behind Affirm's core value proposition, leveraging cutting-edge machine learning to assess creditworthiness throughout the life cycle of loan applications. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you!