4screen
Overview
Senior Machine Learning Engineer (f/m/x) at 4screen. Join to apply for the role and contribute to shaping the intelligence layer of our platform using billions of mobility and location data points. Your mission: As a Senior Machine Learning Engineer, you will design, implement, and deploy advanced machine learning models that uncover patterns such as commuting behavior, traffic flows, and real-world consumer journeys. You will own end-to-end ML projects—from prototyping new algorithms to deploying production-grade models—collaborating with data engineers, backend developers, product owners, and domain experts to ensure models deliver high accuracy and scale reliably within production systems. Responsibilities
Turning data into insights: analyze large-scale mobility and behavioral datasets to identify patterns, validate hypotheses, and build predictive models that shape product decisions. Developing production-ready models: design, train, and deploy ML models with a focus on scalability, robustness, and maintainability across the full lifecycle. Drive innovation in mobility AI: explore advanced algorithms and statistical approaches to solve challenges such as driver segmentation, demand forecasting, and geospatial modeling. Building ML pipelines: work with MLOps best practices (e.g. MLflow, Kubeflow, Docker, Kubernetes) for seamless deployment, monitoring, and continuous improvement of models. Collaborating across teams: partner with data engineers, backend teams, and product teams to translate business needs into actionable AI solutions. Promoting a data-driven culture: mentor colleagues, share knowledge about algorithms and best practices, and help establish ML standards within the company. What makes you stand out
Degree in Computer Science, Data Science, Mathematics, or a related field – or equivalent practical experience. 5+ years of professional experience in Machine Learning, Data Science, or Applied Research, including deploying models into production environments. Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch. Solid understanding of algorithms, statistics, and model evaluation techniques, including handling imbalanced datasets and high-dimensional data. Experience with large-scale data processing (e.g. Spark, Databricks) and working with SQL and NoSQL databases. Hands-on experience with MLOps tools and cloud environments (Azure, GCP or AWS), including containerization and orchestration. Ability to balance research-driven exploration with pragmatic, production-ready solutions. Strong communication skills to explain complex technical concepts to non-technical stakeholders. A proactive mindset with a passion for exploring new algorithms, methods, and real-world applications of AI. Fluency in English (German is a plus). What we offer you
Impactful, international and collaborative team. Open-minded culture with room for growth. Broad learning opportunities across teams and high-profile projects. Modern tech and equipment in daily work. 30 days of annual leave plus public holidays. Workation benefit to visit loved ones abroad or explore new places while staying connected. Egym Wellpass membership for well-being. Bike leasing through BusinessBike. Flexible working hours with options to work in Munich (Schwabing), Berlin, Paris, or from home. Regular Team Events & Offsites, social activities, etc. We stand for equal opportunity for everyone and value diversity. We encourage an open and inclusive work environment where you can be exactly who you are. We truly believe that individual strengths and personalities make a great contribution to our success. If you don’t fulfill all points but believe you could be a great addition to the team, we encourage you to apply. About Us
4screen is the world’s first Driver Interaction Platform, connecting brands and businesses with on-the-go customers in real time – directly through the car screen. By operating within the vehicle’s native digital interface, 4screen leverages dynamic car data to enhance the mobility experience, while maintaining high safety and privacy standards. 4screen is integrated into the operating systems of 16 leading automotive brands and is used by more than 100 brands across 12 countries to reach drivers in meaningful, high‑intent moments. Our team blends young talents with industry veterans from companies like BMW, Google, and BCG. We are building a highly innovative, dynamic and exciting environment for you to join. Are you ready to join the ride and shape the future of mobility? Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development Referrals increase your chances of interviewing at 4screen. Get notified about new Machine Learning Engineer jobs in Germany.
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Senior Machine Learning Engineer (f/m/x) at 4screen. Join to apply for the role and contribute to shaping the intelligence layer of our platform using billions of mobility and location data points. Your mission: As a Senior Machine Learning Engineer, you will design, implement, and deploy advanced machine learning models that uncover patterns such as commuting behavior, traffic flows, and real-world consumer journeys. You will own end-to-end ML projects—from prototyping new algorithms to deploying production-grade models—collaborating with data engineers, backend developers, product owners, and domain experts to ensure models deliver high accuracy and scale reliably within production systems. Responsibilities
Turning data into insights: analyze large-scale mobility and behavioral datasets to identify patterns, validate hypotheses, and build predictive models that shape product decisions. Developing production-ready models: design, train, and deploy ML models with a focus on scalability, robustness, and maintainability across the full lifecycle. Drive innovation in mobility AI: explore advanced algorithms and statistical approaches to solve challenges such as driver segmentation, demand forecasting, and geospatial modeling. Building ML pipelines: work with MLOps best practices (e.g. MLflow, Kubeflow, Docker, Kubernetes) for seamless deployment, monitoring, and continuous improvement of models. Collaborating across teams: partner with data engineers, backend teams, and product teams to translate business needs into actionable AI solutions. Promoting a data-driven culture: mentor colleagues, share knowledge about algorithms and best practices, and help establish ML standards within the company. What makes you stand out
Degree in Computer Science, Data Science, Mathematics, or a related field – or equivalent practical experience. 5+ years of professional experience in Machine Learning, Data Science, or Applied Research, including deploying models into production environments. Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch. Solid understanding of algorithms, statistics, and model evaluation techniques, including handling imbalanced datasets and high-dimensional data. Experience with large-scale data processing (e.g. Spark, Databricks) and working with SQL and NoSQL databases. Hands-on experience with MLOps tools and cloud environments (Azure, GCP or AWS), including containerization and orchestration. Ability to balance research-driven exploration with pragmatic, production-ready solutions. Strong communication skills to explain complex technical concepts to non-technical stakeholders. A proactive mindset with a passion for exploring new algorithms, methods, and real-world applications of AI. Fluency in English (German is a plus). What we offer you
Impactful, international and collaborative team. Open-minded culture with room for growth. Broad learning opportunities across teams and high-profile projects. Modern tech and equipment in daily work. 30 days of annual leave plus public holidays. Workation benefit to visit loved ones abroad or explore new places while staying connected. Egym Wellpass membership for well-being. Bike leasing through BusinessBike. Flexible working hours with options to work in Munich (Schwabing), Berlin, Paris, or from home. Regular Team Events & Offsites, social activities, etc. We stand for equal opportunity for everyone and value diversity. We encourage an open and inclusive work environment where you can be exactly who you are. We truly believe that individual strengths and personalities make a great contribution to our success. If you don’t fulfill all points but believe you could be a great addition to the team, we encourage you to apply. About Us
4screen is the world’s first Driver Interaction Platform, connecting brands and businesses with on-the-go customers in real time – directly through the car screen. By operating within the vehicle’s native digital interface, 4screen leverages dynamic car data to enhance the mobility experience, while maintaining high safety and privacy standards. 4screen is integrated into the operating systems of 16 leading automotive brands and is used by more than 100 brands across 12 countries to reach drivers in meaningful, high‑intent moments. Our team blends young talents with industry veterans from companies like BMW, Google, and BCG. We are building a highly innovative, dynamic and exciting environment for you to join. Are you ready to join the ride and shape the future of mobility? Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development Referrals increase your chances of interviewing at 4screen. Get notified about new Machine Learning Engineer jobs in Germany.
#J-18808-Ljbffr