Intern or thesis student – Machine Learning for Power Tools (m/f/x)

Key Skills

Analytical and Problem solving, Data Analytics, Effective communication skills, Github, Machine learning techniques, Python Programming, PyTorch, Scikit-learn

Job Description

WHAT'S THE ROLE?

You will join our international team in Corporate Research & Technology to develop innovative algorithms for data-driven solutions. You will have access to large datasets to test state-of-the-art Machine Learning approaches for real-world applications supporting the development of future products and services.

Start date is flexible to the student's availability, duration for at least 6 months

WHO IS HILTI?

For the sixth time in the past 11 years, Hilti has been named one of the best employers by Great Place to Work.

What began as a family business in 1941, founded by brothers Eugene and Martin Hilti, has become a leading industry player with over 120 locations worldwide and a workforce of more than 32,000 colleagues. Our incredible journey, from humble beginnings to a global powerhouse, is a shining example of the rewards of a hard-working and dedicated team.

At Hilti, we provide leading-edge tools, technologies, software, and services for the global construction industry and beyond. Our purpose is making construction better based on a passionate and inclusive global team and a caring and performance-oriented culture.

We invest a substantial amount of our annual profit to the Hilti Foundation, which focuses on initiatives that empower people to live independently and autonomously, contribute to building stronger societies, and create networks of competent partners to achieve sustainable and scalable impact.

WHAT DOES THE ROLE INVOLVE?

As an intern in our department you will be part of

Machine Learning team which is part of Cooperate Research and Development at Hilti.

We are seeking a talented and motivated Machine Learning Intern to join our team. You will work closely with experts from different fields to develop and test innovative approaches using data analytics and machine learning techniques. Your key responsibilities will be analysing large datasets from power tools, data pre-processing, feature engineering and model evaluation.

INNOVATION - This is the cutting edge of corporate innovation, where the pace is fast, fun, energetic and inspiring.

WHAT DO WE OFFER?

Join over 2200 colleagues from over 70 nationalities at one of our Headquarter locations in Schaan, Nendeln (Liechtenstein), or Buchs SG (Switzerland) is more than a career move. It’s your opportunity to enjoy the energizing, alpine lifestyle - where Liechtenstein, Austria, and Switzerland seamlessly meet. It’s an unforgettable life change.

We’ll give you the tools you need to excel in your internship, including one-to-one coaching. You’ll enjoy a rare combination of autonomy and camaraderie, as you’ll manage your own project while being part of a friendly team.

You’ll not just be another pair of hands but a fully integrated team member with lots of self-responsibility. From there, we’ll trust you to do whatever it takes to deliver outstanding results. Go the extra mile and we’ll reward you with strategic development discussions and career opportunities.

We’ll support you even before you start with us through relocation and integration support. With the international interns community at Hilti you’ll never be bored. Further, the snow-draped mountains, crystal-clear lakes and marvelous landscapes in the Happy Valley invite for lots of outdoor activities.

WHAT YOU NEED IS:

• Enrollment in a Bachelor's or Master's program in Computer Science, Physics, Electrical Engineering, Mechanical Engineering, or a related field for the whole internship period.
• Strong foundation in machine learning, statistics, and data analytics.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as PyTorch and scikit-learn.
• Strong problem-solving and critical-thinking skills, with the ability to learn quickly and work independently.
• Excellent communication and collaboration skills.
• If available: a GitHub link showcasing any relevant projects or courseworks.

WHY SHOULD YOU APPLY?

We have an excellent mix of people, which we believe makes for a more vibrant, more innovative, more productive team. So, if you have no knowledge of construction, that’s fine with us. We’re more interested in your ability, commitment and drive to succeed.