Senior Machine Learning Engineer, 4.Screen
More information about location
Driver interaction platform
Job no longer available
Driver interaction platform
21-100 employees
Job no longer available
More information about location
21-100 employees
Company mission
To connect a fragmented world, bringing to life a network of businesses, drivers and mobility providers.
Role
Who you are
- 7-10+ 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
- Knowledge of DBT, ClickHouse (or equivalent), Spark, Dagster and Kubernetes is optional, but would be a big Plus
- 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 the job involves
- As a Senior Machine Learning Engineer, you will play a key role in strengthening data-driven decision-making processes and advancing our AI strategy
- Your main task will be to analyze existing data, develop new machine learning models, and integrate them into production environments without relying on third-party APIs. Your analyses and models will directly contribute to the company's development and innovation
- 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
Our take
4.screen is developing technology for driver interactions, with the aim of connecting drivers with businesses. Through 4.screen's Mobility Experience Cloud (MXC), drivers are provided with in-car recommendations, better on-screen content, and access to exclusive offers.
Launched in 2020, 4.screen's solution is being utilised by several leading European automakers, including Mercedes-Benz, Audi, and Skoda, with millions of road users benefiting from its technology. It also has over 60 customers pushing their wares via the platform, including McDonald's and Shell.
Backed by investors including S4S Ventures, co-pace GmbH, and Summiteer, the company is well-positioned to further develop its product offerings, and plans to take on the global market in an effort to advance its vision of improving the driving experience through innovative in-car services.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jul 2025
$21m
SERIES B
Apr 2023
$24.5m
SERIES A
Total funding: $45.5m
Company benefits
- Flexible Working Hours
- Workaction Benefit
- Team Events
- Annual Learning Curriculum
- Hybrid Office Culture
- Top-of-the-line Equipment
- EGYM
- Business Bike
- Employee Offers
Company HQ
Old Town, Munich, Germany
Leadership
Fabian Beste
(Co-Founder & CEO)Previously worked for BMW Group, initially as a Project Manager in Digital Transformation R&D then as a Product Owner/Intelligent Personal Assistant. Also an experienced Consultant, having worked at Strategy Engineers.
Christoph Mahlert
(Co-Founder & CTO)Previously worked as a Senior Software Architect at BMW Group, and as a Senior Software Engineer at MaibornWolff.
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