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In this internship, you will work with our Computer Vision and Machine Learning software engineering team for 3 months. The CVML team builds and maintains a world-class image processing pipeline that does autonomous object detection, OCR, counting, product recognition, 3D reconstruction, virtual tour creation, and much more. These images are collected by our autonomous robot called Tally(™) in retail stores. We are laser-focused on finding out what information contained in this data makes the lives of our customers easier and then delivering accurate data to them in a timely fashion.
Responsibilities
- Maintaining and extending Simbe’s computer vision stack -- you will work on at least one major project during the internship period that will be presented to the entire organization at the end of the program
- Testing computer vision algorithms to solve new customer requirements and integrating them using sound software engineering practices into a production pipeline that processes hundreds of thousands of images daily.
- Thoroughly testing new code by writing new tests as well as maintaining old ones
- Strengthening our data collection and model training pipeline.
- Improving various aspects of the computer vision pipeline code.
Required Qualifications
- Currently in university for BS, MS, or PhD in Computer Science or related field - candidates closer to graduation are given preference.
- Proficient in Python programming with knowledge of common data structures, algorithms, and software patterns core to the language.
- Understanding of C++ is a welcome bonus but not required.
- Experience working with well-structured Python projects (not just Untitled (1).ipynb)
- Understanding of when (always) and how to use version control (e.g. git)
- Candidates with existing code portfolios, personal coding projects outside of school, past internship experience, and/or outstanding academic performance tend to be given preference.
- Understanding of shell scripting (e.g. bash) is recommended but not required.
- Rudimentary experience working with Ubuntu or other Linux distributions.
- Respectful, strong opinions about text editors are always welcome.
Relocation and Time Frame
- The internship requires relocation to the San Francisco Bay Area for the duration of the position and being present at our HQ in person daily, Monday through Friday.
- Start date and end date are flexible as long as candidates can commit to a minimum of 3 contiguous months. However, we prefer the standard Fall (September-December), Spring (January-May), and Summer (June-August) periods to align with university semesters so that all interns start roughly at the same time as a "class".
Simbe Values: R. E. T. A. I. L.
Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback.
Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs.
Innovative - We are bold and innovative, with an intense focus on product design and user experience.
Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.
Simbe Robotics South San Francisco, California, USA Office
385 Oyster Point Blvd, STE #2, South San Francisco, CA, United States, 94080
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
