We're a tight-knit team with three core strengths:
Computer Vision Experts: These leaders in computer vision use advanced technology to solve intricate problems like image recognition and object tracking in videos, which makes it all the more challenging
Medical Data Scientists: Our team consistently produces papers, case studies and abstracts to keep demonstrating our clinical value-add in ways that are meaningful and measurable to IVF experts.
Serverless & Progressive Web Pioneers: We excel in serverless infrastructure, crafting scalable, cost-effective solutions with exceptional reliability.
Our Approach: we embrace modern tech, fearlessly tackle challenges, and learn continuously.
Computer Vision Science
Releases so far
unit test python coverage
Average lambda function execution
Technologies and tools
We use Notion as a driver for all things writing inside and outside of the tech team. In addition to serving as our central hub for documentation, specification, backlog reorganization, and sprint tracking, Notion plays a pivotal role in fostering collaboration and communication within our team. Its versatile features allow us to create custom databases, manage tasks, deadlines & sprints, and facilitate seamless knowledge sharing.
Github is where the magic happens. We use github as our central repository system but also use github actions as a main driver for our CI & CD pipelines.
Our product lives in AWS as a cloud native entity. We leverage the latest AWS cloud technologies (DynamoDB, SNS, SQS, and S3) both for building and assembling, as well as for shipping and serving our product.
Organization and methodologies
ImVitro encourages agile development, working in biweekly sprints that are aligned with our team and company-wide OKRs which are set quarterly, and revised at the middle of the quarter. Our release cycle is tightly coupled with the idea of having a release per sprint - shipping what we’ve built to get user feedback as quickly as possible. When we are pre-planning a sprint, we groom the stories together, align on the details and put a rough estimate. Once mature, a feature is broken down into stories which are added to our sprint dashboard on Notion. Every morning, the AI and Engineering team each have their dailies to share ongoing tasks and progress with the VP.
Initial Phone Call (30 minutes): The first step is a brief call with the VP AI & Engineering to help us understand your background and interests.
Technical Interview (1 hour): The second round involves an in-depth technical interview with the relevant team lead & members.It involves live problem-solving, technical questions, and acting out scenarios.
Culture Fit Interview (30 min): This stage is about communicating ImVitro's and your own core values, as well as your work style. Here, we determine if we are aligned to help ensure a harmonious work environment. We might ask for some references with former managers to get to know your past experiences in more depth.
No openings for now; please check back in a few days!