Science Instructor, Machine Learning University
- Employer
- Amazon
- Location
- Washington, United States
- Salary
- Competitive Salary
- Date posted
- Sep 15, 2020
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology, Engineering, Mathematics, Other Science & Technology, Physics & Space Sciences, Statistics
- Employment Level
- Non-Tenured Track
- Employment Type
- Full Time
Do you feel passionate about democratizing machine learning through education? Do you know how to balance speed, quality, experimentation, rigor and fun? Would you like to deliver high-impact educational experiences that empower builders? If you have the creative guts to "surprise and delight" our learners, we want to talk to you. We are looking for forward thinking teammates who are ready to collaborate, innovate and help modernize the way all technologists learn ML. If you want to bring your whole self to work every day, join MLU! We have several positions open for science educators at different levels in flexible locations throughout the US.
Our mission is to make machine learning (ML) accessible to
anyone, anywhere, anytime through education. We believe strongly
that a practical knowledge of ML can be taught broadly, and is a
key skill for many builders to learn. Come join Amazon’s Machine
Learning University and help spread knowledge of ML!
We are building a team of passionate educators with the
demonstrated ability to explain ML to an audience of technical
professionals, enhance curriculum, and coordinate with other
instructors. Practical experience with machine learning is key to
ensure content is up-to-date, practical and engaging. This is a
full-time role where you will constantly be challenged to learn and
be curious about ML.
On our team, you would:
· Teach classes inside Amazon to a wide-range of students across
Amazon
· Develop open-source curriculum designed to provide a practical
knowledge of ML. This includes lectures, videos, demos, and
assignments (find an article about our latest release here:
https://www.amazon.science/latest-news/machine-learning-course-free-online-from-amazon-machine-learning-university)
· Collaborate with scientists across Amazon to continuously
understand and integrate advances in ML into the curriculum
We will consider candidates from anywhere within the US without the
requirement to relocate. Let’s bring ML to everyone and demystify
and democratize technology together!
· MS degree or equivalent in data science, computer science,
machine learning, mathematics, or related field
· Working knowledge of at least one programming language, with
demonstrable experience developing machine learning solutions in
that language
· 1 year teaching experience in a technical topic in either an
academic of business setting
· Experience teaching machine learning
· Knowledge of Python and associated ML libraries, particularly
NumPy, Pandas, Matplotlib, Scikit Learn, and a deep learning
framework (MXNet, PyTorch, Tensorflow, etc.)
Amazon is committed to a diverse and inclusive workforce. Amazon is
an equal opportunity employer and does not discriminate on the
basis of race, ethnicity, gender, gender identity, sexual
orientation, protected veteran status, disability, age, or other
legally protected status. For individuals with disabilities who
would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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