Description:

Vidrovr is a company that makes video useful by transforming disorganized media into structured metadata using a multi-modal machine learning platform.
The company works with important organizations, including leaders of the Federal government, to develop technologies for understanding video content.
As a Backend Software Engineer, you will develop the Vidrovr Platform’s machine learning orchestration systems.
You will collaborate with team members from frontend engineering, machine learning, and product teams.
The role requires proactive and efficient verbal and written communication skills, especially in a remote working environment.
You will be expected to learn and work with a broad range of technologies.
Within the first month, you will maintain, document, and deploy the orchestration pipelines, improve the observability of existing machine learning pipelines, and build tooling to validate individual pipeline outputs.
Within six months, you will create the next generation of orchestration pipelines, manage project priorities and deadlines, and provide guidance on best practices for reliable systems.

Requirements:

Candidates must have experience in developing machine learning orchestration systems.
Strong verbal and written communication skills are essential for effective collaboration in a remote environment.
A proactive approach to learning and working with various technologies is required.
Experience in maintaining and deploying orchestration pipelines is necessary.
Ability to manage project priorities, deadlines, and deliverables is important.
Candidates should be able to provide guidance on best practices for reliable systems.