Total 10 PR Agent job vacancies in Education / Training category in The United States of America

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This project will focus on multi-agent exploration and navigation in unknown areas, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, or to reach a given position and discover the world to do so as rapidly as possible. Throughout this work, we will assume that robots can communicate their observations (e.g., partial map of the environment) during search, via local or global communications, so they can update their representation of the domain online. These tasks will be approach using large language models (LLMs), both to improve performance and to provide an interesting level of explainability.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)

• Literature review/summarizing skills

• Simulations abilities (e.g., AirSIM, ROS Gazebo)

• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)

• Experience publishing papers, and supervising undergraduate/master’s students

• Good writing/spoken communication skills

We are now looking for a Senior Research Scientist, Generalist Embodied Agent Research!

NVIDIA is searching for an outstanding researcher for the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. ChatGPT unifies all kinds of natural language understanding tasks in a single interface: text in, text out. What is the equivalent for an embodied agent? What does it take to build a model that actively explores the environment, plans over long horizons, acquires new skills, solves complex tasks, and bootstraps its own capabilities in simulations and the real world? You will work with an amazing and collaborative research team that consistently publishes influential works on foundation models, robotics, game AI, reinforcement learning, and simulation. Our past projects include Voyager,MineDojo, Eureka, VIMA, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our cutting-edge research projects and will help shape our products.

What you'll be doing:

• Design and implement novel techniques and methods for foundation models, robotics, and embodied agents.

• Engineer robust infrastructure and data pipelines for scaling up foundation models.

• Interface with robot hardware or simulations to deploy the algorithms.

• Work with product groups to transfer technology.

• Mentor interns.

What we need to see:

• Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent additional research experience.

• Outstanding engineering skills for rapid research prototyping, open-source release, or production development. Python is required; C++ and CUDA experiences are plus.

• Excellent knowledge and hands-on experience for training LLMs, multimodal generative models, and control policies.

• 5+ years of experience in reinforcement learning, policy learning, and robotics research

• Proficiency in designing complex software systems to support large-scale learning.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world collaborating together. Join us and be part of the groundbreaking work we are doing in developing generalist embodied agents!

The base salary range is 180,000 USD - 345,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is searching for an outstanding researcher on the topic of Foundation Models for Generalist Embodied Agent Research (GEAR). Everything that moves will eventually be autonomous. ChatGPT unifies all kinds of natural language understanding tasks in a single interface: text in, text out. What is the equivalent for an embodied Agent? What does it take to build a model that actively explores the world, ingests a multimodal sensory stream, plans over long horizons, acquires new skills, and bootstraps its own capabilities?

You will work with an amazing and collaborative research team that consistently publishes influential works on LLMs, multimodal foundation models, AI in gaming, robotics, policy learning, and simulation. Our past projects include Voyager, MineDojo, Eureka, VIMA, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our cutting-edge research projects and will help shape our products.

What you'll be doing:

• Design and implement novel techniques and methods for LLMs, multimodal models, and embodied agents.

• Engineer robust infrastructure and data pipelines for scaling up foundation models.

• Work with product groups to transfer technology.

• Mentor interns.

• Collaborate with external researchers.

What we need to see:

• Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.

• Outstanding engineering skills for rapid research prototyping, open-source release, or production development. Python is required; C++ and CUDA experiences are plus.

• Excellent knowledge and hands-on experience for training LLMs, multimodal foundation models, or large generative models.

• Experience in reinforcement learning, agent learning, and robotics are desirable.

• Knowledge of common AI frameworks, such as PyTorch.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront in developing AI Agents!

The base salary range is 160,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Counterintelligence Agent Instructor (DCAC)

Job Category: Training

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

* * *

What You’ll Get to Do:

• You are responsible for providing world-class DoD Cl Agent Course (DCAC) instruction.
• Plan, develop, and execute training certification for entry level understanding of Defense Agency CI missions and functions Instruction. The training provides the CI Agent with the basic knowledge to conduct the diverse duties of a Defense Agency CI Special Agent and emphasizes DoD CI legal issues; CI functional services; CI education briefings; detection of espionage; Cl inquiries; preserving CI operational and investigative viability and prosecutorial information; collecting and reporting CI information; and assisting other agencies in CI matters to include operations and investigations.
• Deliver classroom-based instruction and assess student performance in field exercises that frequently exceed 8-hours a day, includes weekends, and requires travel within the NCR and CONUS.
• Employ blended learning techniques to include a combination of eLearning tools, lectures, classroom discussions, team exercises, readings, case studies, role plays and demonstrations of required skills through work-related tasks.

You’ll Bring These Qualifications:

• TS/SCI and CI polygraph or ability to obtain poly.
• Five (5) years of demonstrated experience conducting CI inquiries and/or full scope investigations.
• Knowledge of the Cl missions and functions required.
• Possess expert knowledge in CI activities in support of the five CI functions: investigations, collection, operations, functional services, and analysis and production which was gained through experience.
• Graduate from an accredited CI Special Agent credentialing school, must be a graduate of JClTA NSlC, ACIIC and/or the AFCITC, or an IC school equivalent.

What We Can Offer You:

• We’ve been named a Best Place to Work by the Washington Post.

• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

• We offer competitive benefits and learning and development opportunities.

• We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.

• For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.

Company Overview:

CACI is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here

The proposed salary range for this position is:

$64,400 - $135,100

Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.

 

Ready to explore a career path? Start your journey.

Are you ready to start your exciting career in Travel Management? No previous industry experience required!

 

If you have experience in call centers, contact centers, customer service, sales or hospitality, and have always wanted to work in travel, you may be perfect for our program.

 

Our Travel Academy is an 8-week-long paid training program. We’ll give you a comprehensive course in all things travel and prepare you with everything you need to be successful as a full-time Travel Counselor assisting our client through phone.

 

Travel Counselors are the heart of our organization at Amex GBT, providing world class service to our corporate travel clients. You’ll learn how to use industry standard booking systems (Global Distribution Systems / GDS), resolve customer inquiries for all types of travel via phone, and much more.

This position is virtual - Training will be Monday thru Friday 9:00am-5:30pm CST.  Our Traveler Care unit is a 24/7 operation, so we’re looking for people who are excited about working some non-traditional hours, for this position we are looking for a variety of shifts Monday to Friday between the hours of 8am-8pm EST

 

Learn more about our teams, culture, and this position below. We hope to welcome you to #TeamGBT!

What You’ll Do

• Participate in our travel school’s newly designed travel curriculum, where you’ll learn everything you need to know about corporate travel and our industry
• Learn about our products and services GBT provides, including our end-to-end booking process
• Experience our hands-on practice environment
• At the end of the paid training program, we’ll help you transition to your full-time role as a Travel Counselor.

What We’re Looking For

• Highly proficient in computer skills including basic trouble shooting and confident in navigating new software platforms.
• Experience in customer service, sales, call centers, or hospitality (3+ years) with extensive customer interaction.
• Strong interpersonal communication, full proficiency in English language with exceptional listening, speaking, and problem-solving skills.
• Passionate about world-class customer service (empathetic, calm, and courteous)
• Must have a quiet, secure home office space, free from noise and interruption.  Must have reliable (hard wired) high speed internet service at your address.

     

Location

Mexico - Virtual Location

     

The #TeamGBT Experience

Work and life: Find your happy medium at Amex GBT.

• Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more.

• Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.

• Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.

• We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.

• Wellbeing resources to support mental and emotional health for you and your immediate family.

• And much more!

All qualified applicants will receive equal consideration for employment without regard to age, gender identity (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, race, color, religion, creed, national origin, disability, veteran status, citizenship or marital status. It is our policy to maintain an equal-opportunity environment free from intimidation, harassment or bias for our candidates, colleagues, clients and suppliers.

We are committed to providing reasonable accommodation to individuals with disabilities. Please, let your recruiter know if you need an accommodation at any point during the hiring process. For more details, please consult GBT Recruitment Privacy Statement.

What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for!

Counterintelligence Agent Instructor (DCAC)

Job Category: Training

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

* * *

What You’ll Get to Do:

• You are responsible for providing world-class DoD Cl Agent Course (DCAC) instruction.
• Plan, develop, and execute training certification for entry level understanding of Defense Agency CI missions and functions Instruction. The training provides the CI Agent with the basic knowledge to conduct the diverse duties of a Defense Agency CI Special Agent and emphasizes DoD CI legal issues; CI functional services; CI education briefings; detection of espionage; Cl inquiries; preserving CI operational and investigative viability and prosecutorial information; collecting and reporting CI information; and assisting other agencies in CI matters to include operations and investigations.
• Deliver classroom-based instruction and assess student performance in field exercises that frequently exceed 8-hours a day, includes weekends, and requires travel within the NCR and CONUS.
• Employ blended learning techniques to include a combination of eLearning tools, lectures, classroom discussions, team exercises, readings, case studies, role plays and demonstrations of required skills through work-related tasks.

You’ll Bring These Qualifications:

• TS/SCI and CI polygraph or ability to obtain poly.
• Five (5) years of demonstrated experience conducting CI inquiries and/or full scope investigations.
• Knowledge of the Cl missions and functions required.
• Possess expert knowledge in CI activities in support of the five CI functions: investigations, collection, operations, functional services, and analysis and production which was gained through experience.
• Graduate from an accredited CI Special Agent credentialing school, must be a graduate of JClTA NSlC, ACIIC and/or the AFCITC, or an IC school equivalent.

What We Can Offer You:

• We’ve been named a Best Place to Work by the Washington Post.

• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

• We offer competitive benefits and learning and development opportunities.

• We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.

• For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.

Company Overview:

CACI is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here

The proposed salary range for this position is:

$64,400 - $135,100

The Continental-NTU Corp Lab invites applications for the position of Research Fellow.

Key Responsibilities:

• Develop optimization, control, learning, coordination, and/or management solutions to support multi-robot coordination and fleet management
• Programming and testing of the developed models, algorithms, and methods
• Write the research results into publication manuscripts and project reports
• Contribute to project reporting and demonstration

Job Requirements:

• PhD in Electrical Engineering, or Automation, or Computer Science and Engineering, or related disciplines from a prestigious university
• Have at least 1 first-author publication in top-tier journal
• Knowledge in at least one of the following topics: multi-robot coordination, fleet management, optimization, control, and learning, or robotics
• Good simulation and programming skills
• Good interpersonal skills
• Good communication and writing in English

We regret that only shortlisted candidates will be notified.

The Continental-NTU Corp Lab invites applications for the position of Research Fellow.

Key Responsibilities: 

• Develop optimization, control, learning, coordination, and/or management solutions to support multi-robot coordination and fleet management

• Programming and testing of the developed models, algorithms, and methods

• Write the research results into publication manuscripts and project reports

• Contribute to project reporting and demonstration

Job Requirements:

• PhD in Electrical Engineering, or Automation, or Computer Science and Engineering, or related disciplines from a prestigious university

• Have at least 1 first-author publication in top-tier journal

• Knowledge in at least one of the following topics: multi-robot coordination, fleet management, optimization, control, and learning, or robotics

• Good simulation and programming skills

• Good interpersonal skills

• Good communication and writing in English

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Job Description

The Continental-NTU Corporate Lab invites applications for the position of Research Fellow.

Continental-NTU Corporate Lab is a S$50 million joint corporate laboratory between NTU and Continental that focuses on developing technologically advanced solutions in the areas such as autonomous robotics, navigation, artificial intelligence (AI), cybersecurity, smart materials, sensing, communication, and cloud technologies for future urban mobility applications. We aim to accelerate innovation in Singapore’s automotive industry and translate research outcomes into practical and viable urban mobility solutions for the future.

Key Responsibilities:

• Develop multi-agent control optimization or learning methods for multi-robot coordination and fleet management.
• Conduct simulation assessment and demo of the developed methods.
• Write the research results into publication manuscripts, patents, and/or project reports.

Job Requirements:

• PhD in Optimization and game theory, or Control, or AI, or Robotics.
• Have at least 1 first-author publication in top-tier journals in related areas.
• Good interpersonal skills.
• Good communication and writing in English.
• Good teamwork awareness.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This project will focus on the multi-agent search problem, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, to locate given targets of interest trying to evade detection. The number of targets is unknown, and their initial position is not known as well. There might be obstacles in the domain, and their location might or might not be known. Throughout this work, we will assume that robots can communicate their observations (presence/absence of targets) during search, via local or global communications, so they can update their representation of the domain and likely location(s) of targets (more details about this representation in the next Section). Our goal is to allow robots to plan efficient search paths to cover the domain and localise the targets as quickly as possible, while relying on local sensing and on distributed intelligence rather than on centralised planning, which would represent a vulnerable bottleneck and would not scale well to large agent teams.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)
• Literature review/summarizing skills
• Simulations abilities (e.g., AirSIM, ROS Gazebo)
• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)
• Experience publishing papers, and supervising undergraduate/master’s students