Machine Learning Engineer

Are you ready to become your best self and deliver impact with AI?

“At Radix, we deliver AI solutions that have a positive impact on the world. We are driven, go the extra mile and we have lots of fun! We foster an open culture of collaboration and knowledge sharing where everyone has a voice. We want to improve as many people’s lives as possible and we look for people who share the same commitment. Let’s create a better future. Together.”

How will you make the difference?

With your talent, passion, and expertise, you’ll become part of an amazing team that makes the impossible possible! In this role, you’ll have the opportunity to work and learn, on impactful & rewarding challenges, including:

• Designing and implementing Machine Learning solutions using for example Transformer models, Convolutional Neural Networks, Unsupervised Learning, etc.
• Building and deploying reproducible and scalable solutions on cloud infrastructure.
• Distributing training across GPUs with data and model parallelism.
• Scaling Machine Learning models to thousands of users.

Which clients will you be working for?

All our clients are chosen with respect to our values and beliefs at Radix. Therefore, we offer you the opportunity to join one of the leading AI solution providers and work together with a breadth of industries and like-minded organizations, including GSK, Brussels Airport, Atlas Copco, Flanders Investment and Trade, VDAB, Belga, Macadam, House of HR and many more. Visit our website https://radix.ai/ for client testimonials and case studies.

What will be the recruitment process?

We love to be transparent to you about the hiring process. Then you’ll know exactly what to expect!

• Step 1 - Interview
  • We will go over your motivation, cultural fit, values, and any questions you have for us.
• Step 2 - Technical challenge:
  • This challenge will be planned on workdays so we can kick off the challenge together.
• Step 3 - Face to face interviews with your future colleagues: :
  • Technical interview: It allows you to learn more about the content of the job.
  • Business case: We will show you what it's like to work at Radix. Based on a real-life business case we would like to get to know your practical approach and how you would interact with clients. If the feedback is positive, we make you an offer to join us at Radix! :)

What will we offer you?

At Radix, you’ll be part of a passionate & experienced team. Next to that, we organize frequent happy hours and team events to never forget! Your energy, drive, and commitment will be much appreciated by means of a competitive salary with a great package of extra benefits:

• A flexible work from home policy to choose where, how, and when you want to work.
• A cool, easily reachable office in Brussels (right above the central station).
• Your own MacBook Pro, phone subscription, monitor, etc.
• Monthly fixed cost, internet allowances.
• A hospitalization & dental insurance with DKV for you and your family members.
• Group insurance.
• Meal and eco vouchers.
• Full coverage of transportation costs.
• Additional Radix holidays.

Still not convinced? Visit our website to discover why Radix will be your dream workplace: https://radix.ai/blog/2021/3/nine-reasons-why-radix-is-your-dream-workplace/

We are already looking forward to getting in touch with you!

What type of person are we looking for?

For this role, we are looking for a passionate engineer who is deeply interested in Artificial Intelligence. You are a go-getter and get motivated by working in a vibrant team on diverse projects and are determined to deliver real impact solutions:

• You have a master’s or Ph.D. in Computer Science, Mathematics or a similar field.
• You are confident in your Software Engineering skills.
• You have mastered the SciPy stack (Python, pandas, numpy, scikit-learn, …).
• You know your way around source control and reproducibility tooling (git, conda, pip, docker).
• You have experience with Deep Learning frameworks (TensorFlow, PyTorch)
• Experience with parallel computing libraries (dask, numba) is a plus.
• You have excellent communication skills in English.