Pinterest Visual Search / Applied Computer Vision | San Francisco / Palo Alto for internships, REMOTE option for contractors | Applied ML Internships / full stack ML infrastructure engineering contracting roles
The Visual Search team works on all aspects of applied computer vision at Pinterest and is offering summer 2020 internship opportunities, along with contracting roles for industry veterans who are looking for a flexible arrangement. This is a full stack team, ultimately driven to ship user-facing products, like Pinterest Lens and Pinterest AR. We do this by building state of the art computer vision signals, such as fine-grained embeddings, high-throughput detection models, generative adversarial models for image composition, and many others.  These models and computer vision features power product experiences on Pinterest for hundreds of millions of users.
Pinterest Visual Search team runs on PyTorch, C++, and lots of Python, among with many other technologies. We encourage publication of all of our work (CVPR, KDD, etc.), and have a highly collaborative and flexible work environment. We’re broadly looking for two intern/eng. contractor categories: generalists and computer vision domain experts. If you’re passionate about product or computer vision infrastructure, such as building label-to-deployed-model toolchains via active learning, reach out to us about a generalist role. If you’ve had experience with interesting CV challenges, or are looking for a highly applied ML work, reach out regarding the CV domain role. You can contact me directly by pinging REDACTED_EMAIL with the tag [VISUAL SEARCH HN] in the title. Please highlight a CV project or an interesting product you've worked on to help our team figure out what role to consider you for. Any ML infra or tools that you are interested in are a big plus.
Due to the COVID-19 situation, we are unsure about the remote vs. onsite nature of the role, and currently all roles are interviews and onboarded through a remote process. Under normal circumstances, internships are onsite, while eng. contracting roles have the option to work remotely after an orientation period.