AuthenticID is solving the biggest business issue in the world today: Fraud.
Fraud losses are skyrocketing for companies because the old model of verifying identity (“something you know”) isn’t working with so many data breaches, hacks, dark web data sales and sophisticated fake ID creation.
AuthenticID uses a next-generation model of verifying identity based on combining a government-issued ID (“something you have”) with biometric data of face/voice/fingerprint (“something you are”). Our solution provides identity verification in seconds using a mobile phone and is able to defeat most fraud attempts using advanced AI capabilities.
With many new Fortune 500 clients, AuthenticID is going through a rapid growth phase and needs people who understand this type of scaling and bring a passion to help solve big problems that affect millions daily.
"Okay?" You might be asking. It's great to talk about the business of privacy, but... what exactly are these solutions you're building? …We can’t tell you quite yet.
Our job is to keep our work out of the wrong hands. But more than that, we need people on our team who believe in the mission to safeguard privacy amidst 21st century interactions. It’s more than a job, it’s a movement on the frontlines of privacy and commerce affecting tens of millions every year.
Computer Vision E2E Test & Release Manager will report to the Director of Research and will work closely with Research Managers as an assistant project manager, technical lead and direct contributor to R&D’s transformation initiative. This role is responsible for algorithm team deliverables to MLOps & Governance and has deep experience in world-class commercial software design especially including the most practical field-proven design patterns and best practices and methodology in machine learning. This role is a veteran software engineer with solid Python experience built on top of a C++ foundation proficient with Docker, AWS EC2/Lambda/S3, Sagemaker, shell scripting, advanced git (AWS CodeCommit),
Top 3 key outcomes in the first year include:
1) Manage – Plan and coordinate with the Research Managers, research leads and MLOps, track algorithmic development progress, identify risks to intended release schedule.
2) Modernize – Exemplify task ticketing, assist with project management duties, timeboxing and visual and written planning and documentation behaviors. Implement algorithmic integrity tests, unit tests, and prepare codebase for MLOps’ engineers.
3) Support – Install and update packages, build Docker containers, apply AWS Sagemaker reference architecture, monitor data generation and training jobs on ec2 instances and in Sagemaker.
LOCATION: 100% Remote. Our headquarters is in the Greater Seattle Area, WA
AuthenticID is an equal-opportunity employer and we welcome applicants from all backgrounds. If you're passionate about consumer identity privacy and a team player who wants to join a growing diverse and dynamic team, we look forward to hearing from you!