6,722 Learning jobs in the United States

Design, develop, train, evaluate and deploy systems using various Deep Learning and Machine Learning Algorithms The design of interfaces between your code and other components in the complete system Create detailed documentation including design concept, flowcharts, layouts, diagrams and charts Project management as needed Must Have Skillsets: 0-2 years of work or educational experience in Computer Vision / Deep Learning or Machine Learning Strong software skills in Python & C/C++ Experience withOpenCVor other computer vision libraries Experience with common Machine Learning methods Experience in using a machine learning framework such as TensorFlow, Scikit-learn, OpenCV, Keras, Torch and Caffe MS/BS degree in Computer Science, Computer Vision, Machine Learning, or related technical field Experience with Natural Language Processing (NLP) is a plus Experience in UI is a plus Ability to easily adapt to new technologies Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr

Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously. Responsibilities Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications. Design and conduct experiments to train RL models and conduct real-world tests. Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training. Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment. Analyze and interpret experimental results, iterating on model design to achieve desired performance. Stay up-to-date with the latest research and advancements in reinforcement learning. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). Strong background in algorithms, data structures, and software engineering principles. Experience with physics simulation engines and tools for training RL. Deep understanding of state-of-the-art machine learning techniques and models. Extensive industry experience with reinforcement learning and robotic systems. Base Salary Range $100,000 — $300,000 USD #J-18808-Ljbffr

• Oversee a portfolio of departments by partnering with subject matter experts, stakeholders and corporate and store Associates to assess training needs and align learning solutions with department goals and objectives
• Manage projects through the design life cycle from scoping, research and analysis, design, development and launch, providing clear timelines through all phases of development and selecting appropriate measurement for implementation
• Design and develop onboarding and ongoing training programs for Associates incorporating self-paced, on-the-job, and classroom training
• Build and manage instructional materials (e-Learning, job aides, tutorials, storyboards, audio and video materials, knowledge checks etc.) for trainers and trainees in your portfolio of departments
• Ensure every learning experience is aligned with best practices in adult learning theory, and that experiences are relevant, practical and learner-centered
• Create engaging and effective learning solutions for in-person and virtual delivery using platforms such as Vyond, Articulate 360, Canva, Camtasia, Adobe Creative Suite, Microsoft Suite
• Facilitate both in-person and virtual training sessions, as well as coach facilitators on best practices to ensure high levels of participant engagement and retention
• Organize, maintain and update training content and learning libraries in the Learning Management System (LMS), ensuring accuracy and accessibility for Associates
• Implement methods to measure the effectiveness of learning programs (e.g., surveys, assessments, and performance data) and use insights to continuously improve learning materials and delivery methods
• Stay up to date with best practices, trends and innovations in the learning and development field to ensure training solutions remain current and effective

• Bachelor's degree in Education, Instructional Design, Human Resources, Psychology or a related field (or equivalent experience).
• 2+ years of experience in learning and development, instructional design, or a related field.
• Proficiency in eLearning development tools (e.g., Articulate 360, Vyond, Camtasia) and Microsoft Office Suite.
• Proficiency in facilitating trainings (virtually/in-person)
• Has a knack for project management, is able to move projects forward despite ambiguity, and can effectively prioritize activities with little direction and in a fast-paced organization
• Proven ability to measure training programs through evaluations and appropriate data
• Embodies a growth-mindset and has ability to be flexible and resilient in an ever-changing and dynamic environment
• Experience managing content in a Learning Management System (LMS).
• Strong instructional design skills, including creating interactive, learner-centered content.
• Excellent communication and interpersonal skills to build relationships across all levels of the organization.

• Health and retirement benefits including medical, dental, short-term and long-term disability, 401(k) with company match, FSA, and life insurance
• Weekly pay
• Paid time off provided, including sick days
• Employee Assistance Program for you and your family to assist in many of life's challenges, from short-term counseling, legal questions to financial guidance
• Associate-only savings, free products, bonus points, sweepstakes and more - being a part of our team has its perks with Dierbergs Rewards
• Wellness initiatives and volunteer opportunities to keep you healthy, engaged and involved
• Rewards, recognition and appreciation programs and events to spotlight you AND your exceptional talents
• Opportunity to Grow Every Day by building knowledge, supporting growth and creating connections -Let's GROW!