Applied AI Scientist Architect (Auth0)

This is a hybrid role. It requires going to the local office 3 times a week.

The Auth0Lab Team 

We are a small team of engineers exploring new Auth0 products and features ideas. We take things from 0 to 1 and we look to shape the future of identity.

Our team has had a big role shaping the identity industry:

• we were all early at Auth0, which shaped how devs do authentication
• as part of Auth0Lab we incubated Auth0 FGA which redefined how authorization is done across the industry
• and we also incubated Auth0 for AI agents which defined auth for AI agents

We are currently focused on enabling builders and companies of any size to ship production grade AI agents, by helping them with identity and security. We believe data, and developing our own models will play a huge role in this.

The role

We are looking for an Applied AI Scientist Architect to take product ideas from 0 to 1 and define how we do new AI product innovation. You'll have a lot of independence: you set the technical direction for AI, and experiment fast with minimal process. With that comes real ownership: you'll be the first AI/ML person in the team, so you'll often be figuring it out without a research org behind you. This is a hands-on role. Publishing papers and open sourcing results might happen as it helps us and the industry, but is not our main goal.

We have a lot to teach you about security, auth, developer products and many other things. And we also want to learn from you. Join us to have fun learning and collaborating with a great group of people, while having the opportunity to shape a huge industry.

What you’ll be doing

We are looking for someone that both wants to be hands on and think about the industry big picture at the same time:

• Model and solve auth and security related problems using AI/ML, through deep understanding of the inner workings and customer challenges
• Lead end-to-end model development. Apply the right paradigm for the problem, e.g.: training traditional ML models from scratch, or fine-tuning and aligning small/large language models
• Create and maintain evaluation and training datasets and workflows
• Take ideas from research through prototype and product recommendation
• Evaluate outcomes across quality, security, latency, and cost

What you’ll bring to the role

• 8+ years in ML / applied research roles. A PhD is not required, we value shipping over papers
• You've led multiple 0 to 1 AI or ML projects and shipped practical ML or AI systems
• Strong Python, ML frameworks, and software engineering skills
• You love to learn and are able to do so quickly
• You know how computers work and can apply that to solve hard problems, period.
• You constantly strive to hit the right balance between simplicity and flexibility
• You have a talent to grok customer's needs and continuously iterate on your understanding of a problem space based on their feedback, industry trends and available technology
• You are able to work in a team environment, have good communication skills and understand the value of collaboration
• Nice to have: experience working on security related products

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