Job Description
Job Description
Salary :
Calling all motivated students eager to learn and grow in our Machine Learning Team !
If you are passionate about working in a challenging and continuously learning environment, keep reading
We are WIRIS , a software development company headquartered in Barcelona , with an office in Long Beach, California . Our mission is to make peoples STEM work more meaningful .
We develop tools for the education, scientific, and publishing communities, working with the biggest players like Google Workspace, Moodle, Blackboard, Canvas, and Microsoft Office. You can find us everywhere!
Follow us on Instagram @lifeatwiris to get a sneak peek into our vibrant company culture!
Don't miss this exciting opportunity to contribute as a Machine Learning Assistant and help shape the future of WIRIS.
WHAT WILL YOU DO?
Assist senior engineers in ongoing R&D projects and the maintenance of existing ML-based solutions by conducting data analysis and preparing datasets.
Learn about and experiment with various deep learning model architectures (e.g., ANNs, CNNs, RNNs, Transformers) and common Python libraries, applying theoretical knowledge to practical examples under supervision.
Support the development, training, and evaluation of deep learning algorithms by contributing to code implementation and running experiments.
Document project progress and technical findings, and assist in preparing communications for both technical and non-technical stakeholders.
Gain exposure to and learn about the processes of deploying and actively monitoring machine learning models in a production environment.
WHAT IS MANDATORY FOR JOINING THE PROGRAM?
WHAT DO WE OFFER YOU?
WHAT DO WE CARE ABOUT?
Wiris, where everyone matters, work is fun, and growth never ends.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant from underrepresented minorities, persons with disabilities, sexual minority groups, and other candidates who may contribute to the diversification and enrichment of ideas and perspectives.
Machine Learning • Ewan, NJ, US