Imagine accessing the web to make an online purchase, read the latest news, or schedule a doctor’s appointment, only to discover the information you need … isn’t accessible. Fifteen percent of our population has a disability preventing them from accessing information housed on millions of websites. At AudioEye, we believe equal access to digital content is the right of every individual and the responsibility of every entity. And we’re doing something about it. We have created cloud-based, software-as-a-service (SaaS) digital accessibility technology solutions for businesses that expand website access for individuals with disabilities while maintaining conformance with ADA-related requirements. Simply put, we make digital content more accessible and more usable, for more people.
If you have a passion for equal access for all and a sincere desire to make a difference in the lives of millions, join the fast-growing, dynamic team at AudioEye.
Learn more: https://www.audioeye.com/about-us/
The Machine Learning Engineer will focus on machine learning solutions. The Machine Learning Engineer will be part of the data science and machine learning initiatives to optimize ongoing efforts to drive improvements to the digital accessibility platform by applying knowledge and experience to solve real-world problems with AI/ML team, using machine learning and artificial intelligence to make the web more accessible.
Reasonable Accommodations Statement
To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodations may be made to help enable qualified individuals with disabilities to perform the essential functions.
ESSENTIAL FUNCTIONS STATEMENT(S)
Education: Master’s Degree
Experience: 1-3 years’ experience in a machine learning role
Computer Skills: Python: NumPy, Pandas, SciPy, SciKit-Learn, PyTorch, and CondaSQL, PostgreSQL, NoSQL, MongoDB
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