Senior Machine Learning Engineer (f/m/x)

You contribute to our success by:

• Developing and implementing machine learning models: You design and execute machine learning models tailored to enhance various business operations, ensuring they align with company objectives and drive efficiency.
• Analyzing large datasets to identify patterns and trends: You will utilize advanced analytical techniques to sift through extensive datasets, uncovering insights that inform strategic decision-making and identify opportunities for improvement.
• Collaborating to develop data-driven solutions: You will work closely with cross-functional teams to create innovative, data-driven solutions that address complex business challenges.
• Conducting experiments to optimize models: You design and execute experiments to refine machine learning models, systematically testing hypotheses to enhance accuracy and performance.
• Applying statistical analyses and algorithms: You will validate the results of your analyses by employing a range of statistical methods and algorithms.
• Deploying models in production environments: You are responsible for deployment of machine learning models into production, prioritizing scalability and operational efficiency to ensure they function seamlessly within existing systems.
• Promoting a data-driven culture within the company: You will advocate for and foster a culture that prioritizes data-driven decision-making, providing training and resources to empower colleagues to leverage data effectively in their roles.

What makes you stand out:

• 5+ years of experience in Data Science, Machine Learning or a similar position.
• Master's degree in a STEM field, or equivalent. A background in mathematical modeling or stochastic processes would be a Plus.
• Senior-level practical experience in in building and implementing complex machine learning models; experience with reinforcement or deep learning would be a Plus.
• Strong knowledge of Python and common ML frameworks like TensorFlow or PyTorch.
• Expertise in statistical methods and algorithms for data analysis.
• Good communication skills to convey technical concepts clearly.
• Fluency in English.
• You are willing to visit our Munich office a few times a year for workshops or events - and are of course always welcome between these.

What we offer:

• Have an impact on an international and collaborative team of talented people who love what they do.
• Enjoy an open-minded culture with room for growth while working across teams and bringing in your own ideas.
• Use modern tech (MacBook or Lenovo ThinkPad) and equipment in your daily work.
• Relax with during your 30 days of annual leave (+ public holidays).
• Enjoy our Workation benefit, allowing you to visit your loved ones abroad or experience new places while staying connected.
• Take care of your well-being with the support of our Egym Wellpass membership.
• Get to work with our bike leasing through BusinessBike.
• Enjoy our flexible working hours policy in our open office in Munich’s vibrant Schwabing district, meet up with colleagues in our co-working spaces in Berlin or Paris or use our work-from-home policy.
• Have fun and enjoy the great team spirit at regular Team Events & Offsites, Quarterly Team Challenges, Pizza Nights, Game Nights, etc.