Software Engineer

at  California Institute of Technology

JOB SUMMARY

We are seeking a Software Engineer at Caltech to join our passionate team of researchers from Caltech, UMass, and MIT. The successful candidate will contribute to a unique and exciting project that bridges the gap between academic research and practical application. As a Software/ML Engineer on the Fish Counting Project, you will work closely with researchers to translate machine learning processes from research to production and deliver solutions that empower fishery management stakeholders. Your day-to-day responsibilities will involve a diverse and interesting set of challenges that span web development, machine learning model training and deployment, requirement gathering, and designing human-in-the-loop machine learning processes and systems.

BASIC QUALIFICATIONS

• B.S. (M.S. preferred) with a background in software development, computer science, computer engineering, data science, or a related technical discipline.
• At least 2 years of non-internship work experience in an engineering field.
• Experience with one or more general purpose programming languages including but not limited to: Python, Javascript, bash scripting.
• Ability to think critically and formulate solutions.
• Ability to communicate, collaborate, and work effectively with internal team members and with external stakeholders and customers.
• Ability to write software tests, document, and regularly check code into repositories.
• Ability to work with very little oversight.

PREFERRED QUALIFICATIONS

• Experience with cloud programming and AWS.
• Experience deploying and operationalizing machine-learning pipelines to edge devices.
• Database storage.
• Domain knowledge of sonar video.

Database Development:

• Create and maintain a cloud-based internal data repository for customer videos and associate human/machine annotations.
• Implement search functionality for content retrieval, including video attributes and annotations.
• Develop software primitives to support model training and data browsing.

Customer-Facing GUI:

• Design and develop a user-friendly web interface that allows customers to upload, search, and manage their videos.
• Provide functionalities for customers to download the results of inference.

Cloud Infrastructure:

• Build and manage cloud infrastructure for both model inference and training.
• Collaborate with scientists who will provide trained models for deployment.

Edge Application:

• Lead the development of an edge application, including selecting appropriate edge devices, creating software infrastructure to migrate cloud-trained models to the edge, installing edge devices in the field, and conducting user training in the field.

Requirement Gathering:

• Work closely with researchers and stakeholders to gather and refine project requirements, ensuring alignment with project goals.