Ruben Kwant
Talent acquisition
+31 (0)40 - 26 77 100
+31 (0)40 - 26 77 100
As a Machine Learning Engineer you apply mathematics for high-tech products and machines.
In this role, you use machine learning, mathematics and physics to solve real world problems within a very large variety of markets: warehousing, automotive, machine building, semicon, agro, medical technology and more. By applying the latest scientific insights, you play a guiding role in bringing high-tech solutions to life within the Brainport region and beyond, from creating a live dance show with drones, to optimizing the garbage collection of an entire city.What excites you as a Machine Learning Engineer?
From our office in Eindhoven and sometimes at our clients' premises you like to keep yourself busy with:
- Applying mathematics, physics and in particular AI and machine learning to solve complex real-world problems
- Translating customer needs into analytical problems and practical software solutions
- Designing and developing algorithms, models and AI-driven solutions for various high-tech applications
- Following and exploring the latest technological developments in your field, e.g. in machine learning and (generative) AI
- Collaborating with multidisciplinary teams and customers to develop innovative solutions
- Presenting results to audiences with varying levels of technical expertise
- Working alongside passionate colleagues, exchanging ideas and knowledge to learn from each other, and enjoying the process together
Sounds good so far? We'd love to tell you more…
Ihr zukünftiger Arbeitsplatz
This is what you bring to the table
- Master’s degree or PhD in Mathematics, Physics, Computer Science, Engineering (e.g. Electrical, Mechanical) or another relevant field
- Strong analytical and problem-solving skills with the ability to translate complex concepts into practical solutions
- Experience with developing machine learning models through industrial or academic projects, internships, and/or personal initiatives
- Strong programming skills and familiarity with machine learning frameworks and scientific computing tools
- Experience with Generative AI, Large Language Models and Agentic AI is considered a big plus
- Curiosity and eagerness to learn new technologies and switch between a wide range of high-tech domains
- Strong communication and presentation skills, with the ability to explain technical concepts in a clear and engaging way
This is what you can expect in return from Sioux
- Flexible 32-40 hour working week, with room to work from home.
- A healthy work-life balance is very important to us. We have 28 holidays with an option to buy an additional 12 holidays.
- You will work with passionate colleagues who share your drive for technology and business success.
- By combining our expertise in software, electronics, mechanics, mechatronics, mathematics and assembly, we make the impossible possible for our customers and get to work on challenging high-tech projects.
- You get a lot of freedom and responsibility; after all, you know exactly what you are doing.
- Personal coaching and a training budget of €6000 per year, so that you can continue to develop yourself.
- We also find it important to have fun together. We organize a lot for our employees, from family festivals and sparkling Christmas parties, to inspiring knowledge sessions for the high-tech community.
- Our Sioux office is located in a prime location in the heart of the Brainport region. At our main office you can enjoy lunch, sports, making music, and sharing your knowledge with colleagues in one of our Tech Labs.
High Tech & High Fun
We can tell you all about the typical Sioux culture and the high-tech challenging projects. About how you can develop yourself, like nowhere else. But we’d rather have you hear it from our own employees.
If you want to know more about our challenging projects, please click here.
Wichtiger Hinweis:
This position requires access to controlled technology, as defined in the US Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require Sioux to proceed with candidates who are immediately eligible to access controlled technology.
This application will be closed on August 9th and applications will be processed afterwards.