(Senior) Machine Learning Engineer

<p style="text-align: center;"><strong><em>Location</em></strong><em><span style="font-weight: 400;">: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona.&nbsp;</span></em></p> <p>Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.</p> <p>The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&amp;Risk.</p> <p>In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.</p> <p>Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.&nbsp; Are you ready for your next ride?</p> <p><strong>YOUR DAILY ADVENTURES WILL INCLUDE:</strong></p> <ul> <li>Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency</li> <li>Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.</li> <li>Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market</li> <li>Enhancing our MLOps platform capabilities to support AI state of the art</li> <li>Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers</li> <li>Contributing to the evolution of our MLOps stack and practices.</li> </ul> <p><strong>Our Techstack</strong>: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS &amp; <a href="https://stackshare.io/free-now">more</a></p> <p><strong>TO BE SUCCESSFUL IN THIS ROLE:</strong></p> <ul> <li>M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field</li> <li>3+ years of professional experience deploying, scaling and monitoring ML models in production environment&nbsp;</li> <li>Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable</li> <li>Proven experience with large-scale data processing systems and modern data warehousing&nbsp;</li> <li>Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization</li> <li>Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.</li> <li>Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.</li> <li>Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.</li> <li>Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.</li> </ul> <hr> <h2><strong>BENEFITS &amp; PERKS IN A NUTSHELL:</strong></h2> <table> <tbody> <tr style="text-align: left;"> <td> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Flexible working arrangements</span></li> </ul> </td> <td> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">LinkedIn Learning</span></li> </ul> </td> </tr> <tr style="text-align: left;"> <td> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Sabbatical &amp; special leave policies</span></li> </ul> </td> <td> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">WeRoad partnership</span></li> </ul> </td> </tr> <tr style="text-align: left;"> <td> <ul> <li style="font-weight: 400;">Birthday, 24th + 31st December off</li> </ul> </td> <td> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Short term EU work policy</span></li> </ul> </td> </tr> <tr style="text-align: left;"> <td> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Mobility Credit</span></li> </ul> </td> <td> <ul> <li style="font-weight: 400;">Health insurance</li> </ul> </td> </tr> <tr> <td style="text-align: left;"> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Employee assistance program</span></li> </ul> </td> <td> <p>&nbsp;</p> </td> </tr> </tbody> </table> <table> <tbody> <tr> <td> <p><strong>Plus more local benefits depending on your work location!</strong></p> </td> </tr> </tbody> </table> <p>&nbsp;</p> <hr> <h2><strong>DIVERSITY, EQUITY &amp; INCLUSION:</strong></h2> <p><span style="font-weight: 400;">Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. <br></span><span style="font-weight: 400;">We want you to grow and evolve, </span><a href="https://www.youtube.com/watch?v=dOUL_n8pSGQ"><span style="font-weight: 400;">bring your true self to work</span></a><span style="font-weight: 400;">.&nbsp;<br></span></p> <hr> <h2><strong>ABOUT US:</strong></h2> <p>Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.&nbsp;</p> <p>In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?</p> <hr> <p style="text-align: center;">&nbsp;</p>