Level

Persona

Research Scientist

Persona is hiring a Research Scientist for a remote role open to applicants in United States. It pays $150k-$200k a year and Level rates it ; you can apply on Level.

AI in this role

openai
computer-vision

About Persona

Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder — but more important — than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly.

We’ve built Persona to support practically every use case and industry — that’s why we’re able to serve a wide range of leading companies. For example, Reddit relies on Persona for age assurance and verification to comply with online safety regulations, protecting younger users while maintaining a seamless experience. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world’s most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live.

We’re growing rapidly and looking for exceptional people to join us!

About the role

Proving who someone is online has never been harder or more important. You'll research how to detect fraud and verify identities more accurately. Your work will include detecting AI-generated and manipulated images, understanding how models perform across populations, and finding patterns in how attackers behave.

You bring depth in at least one of computer vision, mathematics and statistics, or identity verification and fraud prevention. You test ideas with focused experiments and follow what the results show. You'll work with our ML and engineering teams to turn your findings into defenses for real customers, and you'll get to publish your work.

What you’ll do at Persona

  • Lead research on open problems in identity verification and fraud prevention, using focused experiments to test new ideas quickly.

  • Develop methods to detect manipulated documents, AI-generated images and emerging fraud attacks.

  • Evaluate how reliably our models perform across different populations

  • Uncover the patterns in verification data that reveal fraud, and prove they're real signal and not noise.

  • Calibrate model confidence and measure fraud events with limited labeled data.

  • Partner with ML and engineering to turn research prototypes into production models.

  • Publish at top venues such as CVPR, NeurIPS and USENIX Security, and stay active in the research community.

What you’ll bring to Persona

  • Deep expertise in one of the following:

    • Computer vision: research in image forensics, face analysis, generative models or representation learning.

    • Mathematics and statistics: strong foundation in areas such as probability, statistical inference, optimization, or applied mathematics, with experience applying it to empirical research.

    • Identity or fraud prevention: Experience researching identity verification, biometrics, fraud detection, out-of-distribution detection, adversarial behavior, or closely related security problems.

  • A PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related technical field is strongly preferred. We will also consider candidates with an MS and an exceptional research record.

  • A demonstrated record of peer-reviewed publications in relevant conferences or journals, with substantive contributions to the research.

  • Independently lead research, design rigorous experiments, and use results including negative or unexpected findings to guide next steps.

  • Clear communication, including the ability to explain experimental design, findings, and limitations to technical and non-technical audiences.

Nice to haves

  • Research on deepfakes, presentation attacks or adversarial robustness.

  • Experience with noisy, imbalanced real-world data.

  • Experience shipping ML research to production.

Benefits and Perks

For full-time US-based employees (excluding internship and contractor opportunities), Persona offers a wide range of benefits, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipend, wellness benefits, among others.


For full-time UK employees, Persona offers a wide range of benefits, including private medical insurance, dental insurance, a 6% employer pension contribution, unlimited PTO, a monthly wellness stipend, professional development stipend, co-working stipend, and more.


As part of our interview process, all candidates will be asked to verify their identity with Persona. This step is used solely to confirm that candidates are who they say they are, and will have no impact on hiring decisions.

How we rate this

Research Scientist at Persona rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionOpenAI

Also common in research scientist jobs at this level

Pay

This job starts at
$150k
Typical research scientist job
$190k

This posting starts 21% below the typical research scientist job. See research scientist jobs

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Walk me through how you've used OpenAI in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Computer vision and OpenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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