Machine learning • austin tx
Come build scalable, authentic learning experiences that will shape the next generation of engineers and project managers across Amazon Robotics (AR).We are looking for a Learning Experience Design... Show more
Manager of Colocation Machine Learning leads a team of individual contributors across AMER responsible for developing and scaling AWS' Machine Learning infrastructure through strategic colocation p... Show more
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Learning And Career Development Specialist.The Texas Permanent School Fund (PSF) is a constitutionally established education endowment with a 150+ year history of supporting Texas public schools.To... Show more
We are currently seeking Shop Assistants experienced in various machine shop skills to work for a manufacturing company in the Austin, Texas area.There are Day and Swing shifts available.Monday thr... Show more
Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline.Works with data and software engineering team to integrate ... Show more
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Job Position: Machine Operator.Location: Travis County, TX 78664.We are seeking a reliable and detail-oriented.The Machine Operator is responsible for setting up, operating, monitoring, and maintai... Show more
Sets up and operates a variety of automatic or semi-automatic machines including robotic assembly equipment used in the production of the company's product.Responsible for the overall operation of ... Show more
Machine Learning Engineer/Software Developer.We are seeking a highly skilled and experienced Machine Learning engineer/software developer with a strong background in data science.The ideal candidat... Show more
Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers? Join Amazon Infrastructure Engineering's AI/ML team to design and d... Show more
Hello Professionals,</p> <p>Hope you are doing well!!</p> <p>Kindly go through below JD and let me know your Interest along with an updated resume and LinkedIn URL</p>... Show more
The average salary range is between $ 131,269 and $ 215,000 year , with the average salary hovering around $ 165,600 year .
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
Come build scalable, authentic learning experiences that will shape the next generation of engineers and project managers across Amazon Robotics (AR). We are looking for a Learning Experience Designer (continuous learning & development) to join the Learning Experience and Technology (LExT) team. The Learning Experience Designer will be responsible for designing and developing engaging and immersive learning experiences that meet the needs of our clients and learners. The successful candidate will have a passion for learning design, a creative mindset, and a deep understanding of adult learning principles. He or she will have a minimum of 5 years experience in instructional design or a related field, with a strong track record of creating impactful learning experiences.
Key job responsibilities:
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
Amazon Robotics - Learning Experience and Technology (AR-LExT) team serves Amazon Robotics, RME, and Operations organizations by creating product and safety focused learning experiences that positively impact organizational performance. Through a data-driven approach, we strive relentlessly to prioritize safety and to promote continuous learning, personal development, diversity, inclusion, and high levels of employee engagement.
