About the job
Join Sofarocean as a Machine Learning Intern, where you will collaborate with a dynamic team of engineers and scientists on cutting-edge Data Science, Machine Learning, and AI initiatives. Your primary focus will be on enhancing physical sensing systems within the Spotter platform and its broader sensing ecosystem.
Internship Duration: Summer 2026, from June 29 to August 21. A commitment of at least 10 weeks is required.
Note for international applicants: If your work authorization is via CPT, please consult your academic institution prior to applying. You must be available to work 40 hours per week.
Potential Projects:
Design, train, and validate Edge Intelligence models.
Conduct modeling and analysis to guide product development and engineering strategies.
Engage in simulations and modeling for advanced research projects.
And more! We have a variety of impactful projects lined up and are eager to hear about your interests!
Key Responsibilities:
Develop and refine prototype models and features under the mentorship of senior engineers and scientists.
Perform analyses and translate insights into clear digital communications for diverse audiences.
Maintain accuracy and organization of data and metadata.
Gain exposure to a wide array of disciplines including hardware engineering, software, operations, manufacturing, design, physical sciences, and data sciences.
Minimum Qualifications:
Completion of graduate-level coursework in Computer Science, Data Science, and/or AI/ML fields.
Proven ability to independently lead and complete projects involving development, testing, and iteration.
Demonstrated self-starting and proactive approach.
Preferred Qualifications:
Experience in sensing technologies and robotics.
Prior internships or professional experience in related fields.
A strong passion for or connection to oceanic environments!

