IndirizzoDescrizione del lavoro:
At (COMPANY NAME) we commit to making food safe and available, everywhere; and we protect what's good - protecting food, protecting people, and protecting the planet. By doing so we touch millions of people's lives every day. And we need people like you to make it happen.
Job Summary
Do you want to engineer and drive innovative (COMPANY NAME) solutions that embed Artificial Intelligence?
The Early Innovation & Partnerships in Automation and Digital within (COMPANY NAME) is now looking for an Artificial Intelligence intern to join the team. As an AI Research Intern, you will play a relevant role in advancing our manufacturing processes through cutting-edge research. You will collaborate with cross-functional teams to research on the possibility of applying multimodal solutions to enhance efficiency and quality across our production lines.
The Early Innovation & Partnership team is responsible to lead exploration activities, by scouting and consolidating new technologies available in the market that will further improve performance, quality and sustainably of current and future (COMPANY NAME) equipment.
What you will do
In this position you will have the opportunity to work with the following areas:
* Conduct research on multimodal data (e.g., visual, sensor, text) collected from manufacturing processes
* Analyze a variety of non-ml software elements involving data quality and data preparation
* Analyze and interpret data to identify patterns, anomalies and optimization opportunities.
* Experimenting with new multimodal capabilities for Machine Learning models developed for process control and defect detection.
We believe you have
* Bachelor degree, or higher qualification, in Engineering, Statistics, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field required.
* Experience with PyTorch, or at least another major deep learning framework such as TensorFlow or JAX.
* Strong Programming Skills - knowledge of programming languages like Python, and familiarity with NVIDIA GPUs and the software stacks that optimize them
* Experience or familiarity with Computer Vision, Machine Learning, & related software concepts.
* Meaningful experience with Deep Learning applications: A strong understanding of the under the hood fundamentals of deep learning (layer details, backpropagation, batch normalization etc.), and additionally the ability to read and implement related academic literature and experience in applying state of the art deep learning models for computer vision.
* Meaningful experience in GPU performance profiling. Knowledge of CUDA is preferred.
* Familiarity with HW (Hardware) architecture (ideally accelerators), numerical software, DL (Deep Learning) inference, deployment, model conversion topics (e.g. Torch Script, Torch Trace, ONNX, TensorRT/TRT)
* Fluent in English and Italian, both written and spoken
* As you will lead activities in your technical area, you have the ability to work independently and take initiative and technical decisions:
* As a person, you are innovative and motivated, with good communication and leadership skills.
* You have a structured and analytical way of thinking.
* You are a good team player who is able to manage long term relations with the ability to interact with different stakeholders at many levels.
* You are curious, committed and eager to learn and improve day after day.
We Offer You
* A variety of exciting challenges with ample opportunities for development and training in a truly global landscape
* A culture that pioneers a spirit of innovation where our industry experts drive visible results
* An equal opportunity employment experience that values diversity and inclusion
* Market competitive compensation and benefits with flexible working arrangements
Apply Now
If you are inspired to be part of our promise to protect what's good; for food, people, and the planet, apply through our careers page at https://jobs.(COMPANY NAME).com/.
This job posting expires on 27.06.2024.
Diversity, equity, and inclusion is an everyday part of how we work. We give people a place to belong and support to thrive, an environment where everyone can be comfortable being themselves and has equal opportunities to grow and succeed. We embrace difference, celebrate people for who they are, and for the diversity they bring that helps us better understand and connect with our customers and communities worldwide
