In-person Palo Alto
Skywalk is a seed-round stealth tech startup based in Palo Alto. We are pushing the boundaries of Artificial Intelligence and wearable technology, and integrating them into a new generation of computing platforms. We focus on creating wearable, audio-first devices that offer high-performance voice interaction anywhere, anytime. We are seeking a passionate and talented graduate and undergraduate-level interns from Computer Science and Electrical Engineering backgrounds to join our dynamic team in Palo Alto. You will have the opportunity to work on cutting-edge research and engineering problems, contributing to developing our next-generation computing platform.Our innovative approach is centered around a new computer interface. We are currently offering multiple roles in three main directions, each presenting open-ended research questions that we invite you to explore:
These questions are not exhaustive but serve as a starting point for your exploration and innovation.One of the unique aspects of interning at Skywalk is the opportunity to participate in the startup process and significantly impact an actual product. Our internship is quite open-ended, allowing you to explore and innovate within our focus areas. At Skywalk, we also offer a unique opportunity to work on an audio AI hardware platform ready to go. You will be part of an exciting team working to solve real-world problems. We also support academic growth and are open to publications based on your work during the internship.Preferred Qualifications:
If you are excited about the future of AI and wearable technology and want to be part of shaping it, we would love to hear from you. Please apply with your resume and a brief description of your interest in this field.
Skywalk is looking for a full- or part-time data collection coordinator to join our crew for the next 3 months (option to extend), with an immediate start date!Skywalk is a seed-stage stealth startup founded by a group of 5 Stanford graduate students. We’re building a new generation of wearable devices that let people interact with computers in brand-new and exciting ways.Our Data Collection Coordinator will work with our team to test prototype devices and ensure collection of high-quality data on a weekly basis. This may include recruiting new users, implementing and conducting experiments developed by the Data Science team in a controlled fashion, and developing data QC pipelines.This position is a fantastic opportunity to build new interaction technologies and work with a fun team of experienced researchers. We look forward to hearing from you!Responsibilities: • Develop, implement, and monitor tightly-controlled data collection experiments • Recruit new participants and assist with study design • Work closely with the Data Science team • Review collected data to ensure accuracy and completeness • Build QC pipelines for collected data to identify trends and anomalies • Report progress to the ML and Data Science teamRequired Qualifications: • Availability for in-person work at our Menlo Park office adjacent to the Stanford and Menlo College campuses • Ability to run controlled experiments with attention to detail • Strong interpersonal skills and communication • Ability to work independently and in a team environmentDetails: • $20 - 25 hourly compensation, depending on experience • Immediate start date • 3 month temporary contractor position with an emphasis on data collection • Option to extend into a software engineering role!Ideal (but 100% Optional) Preferred Qualifications: • Fluency in Python, statistical analysis, and data visualization • Experience with relational databases + SQL
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