Full Stack AI Engineer, Security
About the job
Full Stack AI Engineer - Security
Arrivia
Remote-US · Full-time
Paste this url into your browser to view the full job description and apply directly provn.co:
Job Context
Arrivia powers the travel behind many of the world's membership and loyalty brands. Its private travel marketplace gives members access to deeply discounted cruises, resorts, and hotels, and its platform runs the booking, servicing, and rewards underneath those programs. The engineering teams build and scale that platform across a distributed, cloud-native architecture.
As a Full Stack AI Engineer on the security team, you design, build, and deploy the AI systems that protect Arrivia's platforms, members, and data. You sit where machine learning meets cybersecurity, building models that catch fraud, abuse, intrusion, and data leakage, and owning the pipelines behind them from data ingestion through training, evaluation, and deployment into production. You integrate what you build with the reliability and low latency the platform demands, and you keep the defenses sharp as threats and adversarial techniques evolve. This role reports to the Security Ops Lead and is Remote-US (open to most states, with a few exceptions listed on the role page).
You fit if you have shipped machine learning to production and you pair that with a solid grounding in security, from threat modeling to authentication. You work fluently in Python and frameworks like PyTorch, TensorFlow, or scikit-learn, and you are comfortable with large-scale data and MLOps practices like monitoring and model lifecycle management on the cloud. A background in fraud detection, trust and safety, adversarial ML, or SIEM and SOAR tooling is a strong plus. The full requirements live on the role page at provn.co.
How hiring works here
Applying with Provn is designed to get more interviews for the best candidates coming in without a referral. The challenge is the first step of the application, and it carries as much weight as anything else you submit. Instead of sending a cold resume into an ATS and waiting, you complete a challenge built by Arrivia: you build the work, then record a short video walking through how you approached it. You'll use AI the way you would on the job, and you'll show the thinking behind what you built.
Both the artifact and the video are required to complete your application, and only complete applications are considered for this role. You'll take on a threat-detection problem shaped like the work you'd actually do here and show how you scoped it, where you made the trade-offs, and why.
Why that works in your favor:
- You show how you actually build and ship AI systems against real security problems, instead of hoping a resume gets it across.
- Your judgment with AI and ML becomes visible, which no "experience with PyTorch and anomaly detection" resume bullet can prove.
- One challenge puts you in front of the security team, scored on the work, with no referral required to get there.
The hiring manager reviews every completed submission, and the strongest candidates go straight to an interview round. No referral needed. Performance over pedigree. Proof over polish.
What's in it for you
Compensation for this role is $130,000-$170,000. Salary is competitive and will be discussed during interviews. You also get access to the private travel marketplace with deeply discounted cruises, resorts, and hotels, comprehensive medical, dental, and vision coverage, and a 401k with company match. Beyond the package, you build AI-driven defenses that protect members worldwide, with the freedom to research emerging threats and put real models into production against them.
Apply by completing the challenge at provn.co, where the full role details live. Applications are open through August 28.
Paste this url into your browser to view the full job description and apply directly provn.co:
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