NI Israel looking for a Machine Learning Engineer Student to join her awesome DS team!

NI’s Optimal+ platform is playing in the field of Industrial IoT and is the only Big Data analytics platform that provides an end-to-end product analytics solution for automotive, semiconductors and electronics companies.

The data science group of NI is managed from the Israel R&D site. This group is responsible for both customer engagement and company level machine learning strategy, infrastructure, and roadmap.

As leaders in the field, we have an important role in bringing the full AI potential to manufacturing, we are working closely with our customers delivering the right platform for machine learning together with the right solutions, infrastructures, and methodologies to handle the full life cycle of machine learning in production.

 

In this Role, Your Responsibilities Will Be:

As leaders in the Big Data analytics in Industrial IoT, our goal is to provide various solutions for the industry of semiconductors and electronics on production process as part of the AI ​​revolution for industrial IoT.

The role will include working in both tabular data and computer vision domains. You’ll Contribute to explore usages of machine learning in the Semiconductor & Automotive/Electronics manufacturing industries through hands-on involvement on the entire ML pipeline, from data preparation through model building and evaluation.  You’ll help design and implement infrastructures for robust and scalable machine learning life cycle support.  You’ll design and implement automated classification and prediction solutions using big data analytics and machine learning techniques.

 

Who You Are:

If challenges motivate you and want to experience and learn as much as possible backed by a team of champions – this team is the right place for you.

 

For This Role, You Will Need:

Strong “Can do” attitude and real passion for technology and data science. Studying for M.Sc/B.Sc in Computer Science or related technical discipline( M.Sc is a big advantage) Fluent in python. Experience in machine learning in either of tabular data/computer vision domains (either academical or independently). Experience/knowledge working with common deep learning frameworks (Pytorch, TensorFlow). Availability for 3-4 working days a week. Remaining studies of at least one and a half years. Please attach grade sheet to the CV.

 

Preferred Qualifications that Set You Apart:

Work Experience as a software engineer or machine learning engineer. Experience in the semiconductor or electronics industry.  Experience in Image Processing/Computer Vision & optimizations. Experience in development and deployment in Big Data systems.

 

Our Offer To You:

Cafeteria including multiple selectable options

Hybrid work mode. Opportunities for growth in a fast-paced and technically challenging field. Opportunities to maintain health (use of corporate gym, weekly fruit day, farmers market, medical screening - when we are working on site) Supportive atmosphere, team buildings and other company events Discounts (e.g.: gyms, book stores, restaurants) Yearly Appreciation week, including fun, educational and health-related programs

At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspire innovation and brings the best solutions to our customers. We’re emphasizing a culture of togetherness – one that builds community, prioritizes collaboration and continuous improvement. 

The philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place. Learn more about our Culture & Values and about Diversity, Equity, & Inclusion at Emerson.

Moreover, our global volunteer employee resource groups will empower you to connect with peers that share the same interest, promote diversity and inclusion and positively contribute to communities around us.

We understand the importance of work-life balance and are dedicated to supporting our employees' personal and professional needs. From competitive benefits plans and comprehensive medical care to equitable opportunities for growth and development we strive to create a workplace that is supportive and rewarding. Our work schedule aims at creating new levels of growth, build a stronger community and provide greater professional development for our employees.

Make this great opportunity yours!