Your professor is too slow, and you want to deliver real-world value while learning from doing? Are you looking to jumpstart your career and learn how to be an independent, self-driven solutions engineer?
Then we are looking for you! We want to help you to develop your system thinking and intuition about data. We will teach you how to make smart assumptions and dive into solving problems instead of overanalyzing a situation. All you need to bring to the table is your personal, honest ambition to deliver something great to our customers.
What you will be helping us with, among other things:
- Improve our automated campaign steering driving home every flight, on target, on time.
- Build a mean hybrid interest signals data machine with us.
- Understand our rich internal Recommendations-ML-Engine. Work on classical (non-)linear optimization problems through tabular modeling, forecasting, normalization, and NLP.
- Extract every ounce of entertainment intelligence from our recommendation system based on massive user and item data.
- Draw from years of data engineering excellence and a treasure trove of outstanding quality data you can model on from day one.
- Iterate with boring technology to keep solutions simple. Snowflake, Python, Pytorch, Scipy, XGBoost.
- Build prototypes based on smart assumptions in three days to outperform the SoTA in three months.
- Steal liberally from basic research instead of attempting it yourself.
- Currently enrolled in a Bachelor's or Master's program in Computer Science, Statistics, Mathematics, or a related field.
- You will stay enrolled at a German university for at least one year.
- Excellent problem-solving and critical-thinking skills.
- Ability to work independently and in a team environment.
- Excellent communication and interpersonal skills.
- An exciting and challenging work environment where you can learn and grow.
- The chance to collaborate with a team of experienced machine learning and data science professionals.
- A flexible schedule that works with your academic commitments.
While a solid technical background is crucial, we are looking for someone who is not just a scientist or nerd. If you have the personality, and skills we are looking for, and if you are genuinely excited about the opportunity to drive business growth through machine learning and data science, we want to hear from you!
JustWatch takes diversity and equal opportunity seriously. We commit to being inclusive. Our goal is to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace our entrepreneurial responsibilities. Through our 6-figure environmental and social impact budget, we offset every employee's carbon footprint, give back to the community, support causes that matter, and have recently implemented a wellbeing and mental health program.
How to apply
Show your interest in any way that works for you; we simplified the application process - send us whatever you have or just your Linkedin and a brief message explaining why you are an excellent fit for this role.
This is the process:
Cultural interview (45 min)
Do we fit together? Let's understand who we are and what drives us forward. We will dive into company culture and the question you have about JustWatch.
Technical interview (60 min)
You will meet our CTO, Dom. He will evaluate your technical understanding. This meeting is also your chance to figure out more about our technology.
Technical task (60 min)
After the technical interview, we will provide you with a small take-home task, which Dom will discuss afterward.
This job is already closed and no longer accepting applicants, sorry.