Senior Machine Learning Research Engineer (m/f/d)

Often rooted in organized crime, bad actors constantly attempt to abuse our platform to receive goods without paying or receive payments without rendering promised services. Would you like to outsmart these fraudsters who will try to outsmart you in turn?

As a Senior Machine Learning Research Engineer (m/f/d) you will be at the helm of our efforts to identify suspicious activities and patterns in the millions of transactions that are processed by our systems every month to stop these fraudsters in their tracks. You will work at the intersection of Data Science, Machine Learning and Engineering to protect the heart of our business!
 
 THE ROLE

1. State-of-the-Art Fraud Prevention Systems: Utilize advanced feature engineering and all the other techniques from your data science and machine learning toolkit to continuously improve our fraud prevention systems. Come up with new ideas and strategies to stay ahead of fraudsters.
2. Machine Learning Platform: Collaborate with cross-functional teams to design, build and optimize our ML workflows. Help set up a feature store and build research as well as deployment pipelines.
3. Data-Driven Applications: Develop non-machine learning data products such as feedback collection tools, fraud detection rule generators and risk steering interfaces. Assume responsibility for all the tooling surrounding the team's applications.
4. End-to-End Project Ownership: Drive projects from the initial ideation stage through proof of concept (PoC) and deployment into production. Ensure that projects align with business goals and deliver tangible results. Take responsibility for successful deployments and operational performance.
5. Mentorship and Knowledge Sharing: Share your expertise and best practices with junior team members. Provide guidance on data science methodologies, coding standards, fostering a culture of continuous learning within the team.

• A degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics or a related field with +5 years of professional experience in the fields of Machine Learning and Engineering.
• Expert knowledge of Data Science and Machine Learning and its practical application to solve real-world problems.
• Strong programming skills in Python and the drive to write elegant, well-tested and clean code.
• Proficiency in deploying machine learning systems in a scalable, reliable and low-response-time production environment.
• Bonus: Experience with AWS and Infrastructure as Code (IaC).

• Flexible working hours and hybrid working options to balance work and family life
• Surrounded by entrepreneurial people with plenty of room for creativity and new ideas
• A stable working environment
• Room for personal growth and professional development
• Trustful interaction in a welcoming team with flat hierarchies
• A highly diverse and culturally ambitious business with 40+ nationalities
• A challenging job in a rapidly growing industry
• The opportunity to work within a fast-moving industry leader combining modern technology and standards

BENEFITS:

• Company and team events, knowledge exchange and the opportunity to contribute your ideas
• Generous private pension scheme - Ratepay matches 100% of your contribution up to 100 Euros per month
• The chance to get involved in social projects as part of our sustainability initiative
• Become a digital nomad: Work with Ratepay from any country within the EU for up to 3 months per year
• Personalized benefits – you can choose on a monthly basis between mobility, fitness, food, training and many more
• Monthly Internet Support
• Equipment support allowance
• Seasonal vaccinations, health checks and eye exams
• 28 days vacation
• Employee Bereavement plan
• "Community Connect", where employees can take a day off to contribute to a community initiative
• Access to a corporate benefits platform where employees can get great discounts and offers for a range of online shops and activities
• Free language learning through Babbel as well as group live classes for those who want to improve their English or German
• Access to learning platforms like Udemy for teams can attend conferences and, if included in their P&D goals, can attend additional training sessions.

We value our diversity and welcome everyone to our team, regardless of ethnic and social background, religious beliefs, worldview, gender, sexual orientation, physical and mental limitations, age, marital status, educational background and nationality.
With over 250 employees and 40+ different nationalities, we take our values seriously. These include; ownership, growth, integrity, collaboration, customer centricity and inclusion (4/6 of our C-Level Board members are female).