Job summary We are seeking a highly skilled and experienced Machine Learning Engineer to join our Search & personalization Team. In this critical role, you will be responsible for building the machine learning models that will serve relevant and personal content to millions of customers every month across all our businesses and markets. Responsibilities - Develop and optimize algorithms to serve relevant and personal content to millions of customers every month across all our businesses and markets. - Collaborate with a cross-functional team of engineers, data scientists, and product managers to develop, test, and deploy machine learning models for personalization across Rappi's customer app. - Perform feature engineering and selection to improve the overall effectiveness of our personalization systems. - Work closely with the data infrastructure team to ensure seamless integration of machine learning models with our existing systems and data pipelines. - Continuously monitor and analyze personalization performance, identifying opportunities for improvement and implementing necessary changes. - Stay up-to-date with the latest industry trends and technologies to ensure our personalization capabilities remain competitive and cutting-edge. - Mentor junior team members and contribute to the growth of the team's overall expertise in machine learning and personalization. Requirements - BSc or MSc in Computer Science, Engineering, or a related field with a focus on machine learning; - PhD is a plus. - 4+ years of experience in machine learning engineering/data scientist, preferably in personalization, recommendation, or ranking systems with demonstrable customer and business results. - Strong proficiency in Python, with experience in ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Familiarity with data processing and ETL tools such as Airflow, Snowflake, Postgres, Kafka, and Redis. - Proven experience with large-scale, complex systems and the ability to adapt to a fast-paced, rapidly evolving environment. - Excellent problem-solving and analytical skills, with a passion for optimizing algorithms and models for high performance. - Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team. - Fluency in Spanish (written and spoken) is required; proficiency in English is strongly preferred. - Preference will be given to candidates in Latin America. Globally-located candidates are possible in the right circumstances. What We Offer - The opportunity to be part of a fast-growing, innovative tech startup with a global reach and a diverse, talented team. - Competitive salary and equity package, with a flexible work environment that supports remote or in-person collaboration. - Comprehensive benefits, including health, dental, and vision insurance, as well as a generous vacation policy. - A strong commitment to personal and professional growth, with access to ongoing learning and development opportunities. - The chance to make a meaningful impact on millions of lives in Latin America by shaping the future of on-demand delivery services. Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. Duis dolor est, consectetur ut sapien lacinia, tempor condimentum purus. Obtén acceso completo Accede a todos los puestos de alto nivel y consigue el trabajo de tus sueños. Inscríbete ahora