About the job
About Sesame
At Sesame, we envision a future where technology transcends mere functionality to become an intuitive part of our daily lives. Our mission is to create lifelike computers capable of perceiving, understanding, and interacting with us in a natural way. We are pioneering a new generation of computing focused on integrating voice agents seamlessly into everyday routines. Our team is a blend of innovators from Oculus and Ubiquity6, alongside seasoned professionals from Meta, Google, and Apple, each bringing unparalleled expertise in hardware and software. Join us in crafting a future where computers truly come alive.
About the Role
As a Software Engineer specializing in internal tools at Sesame, you will play a key role in developing and maintaining pipelines and tools that process audio and text data. You will be responsible for producing and evaluating trained AI models for both text and voice interactions. Collaborating with machine learning engineers, researchers, and cross-functional teams, you will create tailored solutions that cater to the needs of your colleagues. The ideal candidate is not only a proficient software engineer but also possesses a keen sense of UI/UX design for custom internal tools. You will develop and sustain React-based web applications that enable teams to manipulate extensive datasets in the cloud, as well as maintain the cloud-deployed Python infrastructure that powers our innovative products. Being a dynamic startup, Sesame values adaptability; therefore, you should be comfortable exploring various technical domains, learning new tools and services, and applying best practices for robust software development and deployment.
Responsibilities:
Contribute to the enhancement of our machine learning infrastructure, internal tools, and data management systems.
Boost developer productivity and ensure application reliability through investment in developer tooling and best practices.
Required Qualifications:
Demonstrated experience in navigating ambiguous work environments independently.
Proven background in machine learning infrastructure, internal tooling, and data management.
Experience collaborating with machine learning and research teams.
Familiarity with developing consumer-oriented, scalable applications.
Knowledge of database management systems.
Bachelor's degree or higher in Computer Science or a related field.
At least 3 years of professional experience in a similar role.

