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Open nowPosted 367 days ago

3D reconstruction/CV developer

Augrade2 open roles

Where
San Francisco, CA
Work mode
On site
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Your applicationOpen now3D reconstruction/CV developerAugrade · San Francisco, CA

  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 Augrade's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 367 days ago

The posting

About the role

Augrade is on a mission to enable Humans to build infrastructure on Earth & Beyond. Augmenting human capabilities & civilization by empowering the technical & non-technical users to design, predict costs & schedules of construction projects.

You will be working directly on all our 3D reconstruction efforts such as real-time procedural 3D generations, CV models. You will be working closely with the platforms team & the founders.

If you resonate with the mission & are passionate about this, that’s all we are looking for, people who want to solve the hard problems relentlessly & aren’t afraid to try the bold ideas & fail (most of the times).

What you’ll do

  • Develop and adapt advanced computer vision and state-of-the-art deep learning techniques for object detection/ classification/ segmentation.
  • Research and prototype techniques and algorithms for procedural 3D reconstruction based on 2D raster/vector inputs.
  • Plan and execute cutting-edge research to advance machine perception technology and image context understanding.
  • Develop novel real-time 3D scene understanding techniques.

About you (Qualifications etc)

  • 5+ yrs experience OR technically challenging projects in CV + 3D generation/design world.
  • Proficiency in programming languages such as Python/C++ and experience with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch).
  • Knowledge in image analysis, machine learning, information theory, and 3D geometry.
  • Understanding of 3D tools & architectures.
  • Strong expertise in deep learning frameworks and architectures, including experience with GNN & RNNs.
  • Skills in data preprocessing, augmentation, and annotation for computer vision tasks.
  • Experience with deploying computer vision systems in production environments.
  • Above all else, genuine passion for the 3D world & being a Fast learner.

Good to have

  • Background in or experience with Structural, Architectural, Mechanical or Electrical engineering field.
  • Experience working with NERFs, BIM, 3D reconstruction.
  • Experience solving challenges related to 3D scene and object reconstruction & object detection.
  • Experience with parametric/procedural mesh generation
  • Experience with diffusion models, CV or Neural networks.

Benefits

  • Unlimited PTO/sick leave.
  • ESOPs (For select candidates).
  • Visa sponsorship (For select few candidates).
  • Health Insurance amongst others.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Augrade's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

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

  3. We apply on Augrade's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Augrade's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • 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

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

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Before you press

Straight answers

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

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