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Open nowPosted 7 hours agoWe saw it 110 min after it went up

Member of Technical Staff

Clera255 open roles

Where
New York
Work mode
Remote
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Your applicationOpen nowMember of Technical StaffClera · New York

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Clera's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

14.0% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted 7 hours ago

Clera median: 6 days open

The posting

ABOUT THE ROLE

Join a team building detection models and products for fraud, identity, and trust-and-safety challenges. You will own technical problems end to end, from analyzing evidence to delivering tools that help fraud teams make informed decisions.

WHAT YOU'LL DO

- Build and ship detection models and the systems around them.

- Evaluate model and system performance honestly, including documenting failure modes.

- Work with trust and fraud teams to turn evidence into decisions and usable workflows.

- Adapt systems as adversaries change their tactics.

WHAT WE'RE LOOKING FOR

- Technical experience in at least one relevant area: computer vision or image forensics, speech or audio modeling, video or temporal analysis, ML infrastructure, evaluation or calibration, fraud, identity, trust and safety, or full-stack product engineering.

- Experience owning a technical problem end to end and building and shipping detection models, supporting systems, or product experiences.

- Ability to measure performance, identify failure modes, and iterate as conditions change.

- Experience working with trust and fraud teams to translate evidence into decisions and product workflows.

LOCATION

Work arrangement was not specified. Primary location: New York, United States.

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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Clera's form

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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