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.


The Lead ML Engineer reports to the ML Engineering Manager and will be part of the Research and Development team. This role leads the development of highly scalable production ML models and workflows. By leveraging cloud native technologies and MLOps best practices this role helps transition prototypes from the Research team to high performance ML workflow services in production. The role is a key contributor to the development of our AutoML strategy that will be used for training, development, deployment, and maintenance of our models. This role also works closely with the Lead Data Scientist to ensure accurate delivery of ML models and to provide the architecture required to advance the research.

Top 3 key outcomes in the first year include:

  1. Technical delivery – Develop production-grade deployable artifacts from model prototypes. Facilitate model development life cycle and production delivery using Amazon SageMaker ecosystem to create a repeatable and automated process for training, evaluating, and deploying ML models.
  2. Speed increase – Employ managed services to reduce the time to value for on-demand releases of new models as well as for systematic updates to the existing models using a feedback loop.
  3. Technical leadership – Advocate best practices in ML engineering and operations. Provide technical mentorship to junior team members, and contribute to the design of the ML platform architecture.


  • Proficiency in designing and implementing scalable production ML workflows in the cloud
  • Experience with at least one ML framework such as Pytorch, TensorFlow, or Scikit-learn
  • Knowledge of machine learning and computer vision fundamental concepts
  • Excellent software engineering skills and the ability to provide technical mentorship and guidance
  • Track record of success as a Tech Lead
  • $100M and upward company scale up experience
  • AuthenticID company values and culture fit
  • STEM Master’s Degree or equivalent
  • Background check and drug screen required


  • 6+ years of experience in design and development of scalable systems used for running ML workloads, distributed model training, hyperparameter tuning, and real-time inference
  • 8+ years of Software Engineering experience
  • 3+ years of cloud experience, preferably AWS SageMaker ecosystem


  • Competitive salary and option grants
  • Flexible hours and recovery days
  • Medical & Dental Insurance, and Life
  • Once-in-a-lifetime experience taking a startup into scale mode, working directly with experienced founders and a diverse, fun-loving and hardworking team

LOCATION: Seattle, WA region or United States Remote

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!