Senior Machine Learning Engineer in STAR

Weare looking for you! We’re looking for aSenior Machine Learning Engineer tojoin the ranks ofour Planning &Optimization product org. Asamachine learning engineer, you are aseasoned software engineer with experience inmachine learning. You will focus ondesigning, implementing and productionizing state-of-the-art optimization and planning algorithms, such asour budget allocation framework for digital marketing campaigns.You are anexperienced machine learning practitioner and Python programmer and have put models into production environments before.You will bejoining our Model Infrastructure team, working onautomating our Marketing Mix Modelling and attribution models used throughout the planning &optimization processes atour Agencies.Skills and experience you can bring tothis role! Qualifications &experience:5+years ofexperience designing and productionizing machine learning models and AIapplications;Fluent inPython and astrong interest ingeneral software engineering principles;Working knowledge ofcommon Python frameworks (Numpy, Pandas, etc.)— experience with deep learning frameworks like Tensorflow orPyTorch isaplus;Strong mathematical foundation and know your way around Bayesian statistics— knowledge ofeconometrics models (such asMMM) isaplus, but not required);Understanding ofdata engineering concepts, data pipelines, and ETL/ELT processes— experience with frameworks such asDagster, Airflow, orSpark isaplus;Experience with Agile development methodologies, such asScrum orKanban;Strong problem-solving and analytical thinking skills, with afocus ondelivering practical and innovative solutions; andAdaptability and willingness toembrace new technologies and challenges inafast-paced and evolving environment.Nice tohave:Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes);Familiarity with DevOps practices and tools for continuous integration and deployment;Strong knowledge ofdata engineering concepts, data pipelines, and ETL/ELT processes;Understanding ofcybersecurity, privacy, and compliance principles and best practices;Solid understanding ofsystem design principles, scalability, and performance optimization; andAtleast abasic grasp ofprobabilistic ML— experience with Pyro isabig plus.What impact you will makeImplement, test and roll out state-of-the-art automated marketing mix models, using Python asyour go-to language and your platform-as-a-service environment isAWS;Lead the development ofanew Bayesian machine learning library designed for automating MMMs;Work with our data scientists and engineers tointegrate the result into our existing product stack;Beorbecome ago-to person when itcomes toapplying state-of-the-art machine learning tothe field ofoptimization and planning;Think about budget allocation, campaign optimization, and optimizing adcopy for revenue; andHelp define and defend the roadmap for model automation.What you’ll getRegardless ofposition orrole, wehave inplace awide array ofbenefits, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) tomake iteasier for all people tothrive and succeed atStar. Ontop ofthat, weoffer anextensive reward package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.Your holistic well-being iscentral atStar. You’ll join awarm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.