Vidrovr makes video useful. We use machine learning to turn disorganized heaps of media and tangles of live feeds into beautifully structured metadata to drive actions and business decisions for our users. We enable previously impossible applications, at previously impossible scales.
We are a small team with self-sustaining - and growing - revenues. Our notable major partners include The AP, the USAF, CNBC, the German Marshall Fund, DHS, FOX sports, and more.
Vidrovr fosters an open, supportive engineering culture emphasizing curiosity, self-teaching, and fearlessness. Engineering is a very small team with fewer than ten members, and there is ample opportunity to learn outside your domain of expertise. Our organization is fairly flat: you'll have direct access to company leadership, insight into strategic conversations, and avenues for direct involvement in major decisions.
We are fully remote. Vidrovr does not currently maintain a physical office. About half of our team is based in New York, with other members in Knoxville, Atlanta, Boston, Seattle, and Mexico City. Being fully remote, we highly value good communication skills!
Vidrovr provides unlimited PTO, and we're serious about it. We periodically require engineers to take time off if they have not recently. We value your independence: we expect quality engineering, not your soul.
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We’re building the one-person Hollywood film and music studio.
Roles:
1) Growth Growth with (some) frontend experience. Campaigns, Experiments, Discord/socials, live events, etc. 2) Backend (Rust, Actix) We want distributed systems experience. PlatEng, DevOps experience ++ 3) Graphics / Game Engine Engineer (Rust, Bevy) Animation and engine dev. We deploy Bevy to the frontend via WASM/WebGPU and headlessly to the server Get in touch with us at jobs@storyteller.aiKeywords: Rust, AI, ML, Film, Music
I'm hiring an experienced (senior, staff, + level) machine learning engineer to lead the tooling, infrastructure, and ops efforts for the ML team at LeaseQuery.
Our team is deploying ML-based services to power features across our suite of products. As we grow the scale and number of our ML-driven features, we are looking to build more robust tools, infrastructure, and ops processes to make our modelers more efficient and our model serving more robust. I'm hoping to find an experienced person that can help us make the best decisions, mentor other team members, and lead the design and implementation of new tools and processes as an IC.
LeaseQuery makes software to help companies comply with new lease accounting regulations, manage their SaaS spend (via our recent acquisition of Stackshine [YC W22]), and more generally handle accounting and spending related to recurring costs. We're based in Atlanta, but support fully remote employees in the US.
https://leasequery.com/careers/
We are also hiring for several roles in software, DevOps, and platform.