As a Data Engineer, Machine Learning at Sesame, you are shaping the future of human-computer interaction, designing and developing the infrastructure that powers our innovative voice agents. This role is crucial in enabling our vision of creating lifelike computers that can see, hear, and collaborate with humans in a natural and intuitive way. By joining our team, you are contributing to a significant shift in the tech industry, pushing the boundaries of what is possible with machine learning and data engineering. The impact of your work will be felt across the company, influencing the development of our products and services, and driving growth and innovation. With opportunities for advancement and professional growth, you will be working alongside a talented team of experts from Oculus, Ubiquity6, Meta, Google, and Apple, in the heart of San Francisco, California, United States.

Your day-to-day responsibilities include designing, building, and maintaining large-scale data storage and infrastructure systems, leveraging tools like Airflow to manage data workflows. Key responsibilities include:

• Developing and deploying data pipelines to collect, process, and analyze large datasets


• Building and maintaining scalable data architectures to support machine learning model development


• Collaborating with cross-functional teams to identify and prioritize data engineering projects


• Designing and implementing data quality and validation checks to ensure data accuracy and reliability


• Working with data scientists to develop and deploy machine learning models


• Troubleshooting and optimizing data workflows to improve efficiency and performance


• Staying up-to-date with industry trends and emerging technologies in data engineering and machine learning. You will be working closely with our engineering teams, reporting to our technical lead, and collaborating with data scientists, product managers, and other stakeholders to drive business outcomes. Your technical expertise in storage, infrastructure, Airflow, data collection, and data engineering will be essential in driving our vision forward.

At Sesame, we believe in fostering a culture of innovation, collaboration, and continuous learning. By joining our team, you will be part of a dynamic