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Member of Technical Staff, Software

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Full Remote
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Offer summary

Qualifications:

2 to 5 years of industry experience in full stack and deep learning., Prior experience working at a startup., Experience in end-to-end ML application development, including data engineering, model tuning, and model serving., Deep learning expertise in computer vision, with knowledge of diffusion as a bonus..

Key responsabilities:

  • Work closely with the founder to build the core product and scale the platform.
  • Contribute to the architectural roadmap for the Advex platform.
  • Lead projects and make decisions with limited information.
  • Rapidly deliver complex projects within tight deadlines.

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Pear VC Private Equity & Venture Capital Startup https://www.pear.vc/
11 - 50 Employees
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Job description

Job Overview

At Advex, we're working on solving the hardest problem in all of deep learning – data collection. In order to train a reliable AI model, you need access to the right training data. The inability to gather the right data has been the primary obstacle in global adoption of computer vision in mission critical industries like manufacturing and industrial automation.

At Advex, we've reimagined a new way to develop AI models by transforming generative models into data agents. Our technology improves model performance by 300%+ for our Fortune 500 customers in just a few hours!

About Us

Advex is a seed stage tech startup backed by Construct Capital, PearVC, and the founders of Dropbox and Gradient Ventures.

Our team comes with over a decade of industry and research experience from top organizations and labs like CMU, Berkeley AI Research Lab, Google Brain, and Qualcomm.

Role Description

As an MTS at Advex, you will play a pivotal role in shaping the company's technical direction. Your hands-on involvement will include working with the founder to (1) build our core product and scale our platform into the hands of some of the largest companies in the world (2) contribute heavily to the architectural roadmap, laying out the foundation for the Advex platform.

Tech Stack:

  1. Next.js + Tailwind + FastAPI

  2. Pytorch + Python

We are looking for individuals who can lead, are autonomous, and can make decisions with limited information.

About You

We are seeking a candidate who embodies the following qualifications and characteristics:

  • 2 to 5 years of industry experience in full stack and deep learning

  • Prior experience working at a startup

  • Experiences in end to end ML application development, including data engineering, model tuning, and model serving

  • Deep Learning expertise includes:

    • Computer vision

    • Diffusion (bonus)

  • Proven track record of rapidly delivering complex project within tight deadlines


Our Values

  • Extreme Ownership – Own your piece to an unreasonable level – if that piece succeeds or fails, for whatever reason, the buck stops with you.

  • Fierce Velocity – Rome was not built in a day, but they were laying bricks every hour.

  • The Best Part is No Part – Simplicity over complexity.

  • Be Epsilon Greedy – Greatness cannot always be planned; be willing to explore novel ideas even if things don’t work out.

  • Customer Obsessed – Our customers are the backbone of humanity. It is our duty to improve and make them better in order to exponentially improve the lives of billions of people.

  • Feedback is the breakfast of champions – Embrace feedback. A healthy team is one where constructive feedback is welcomed and expected.

  • Argmax (team) – The only way to win is together; One Team. One dream

Note: we are a company founded by immigrants, and we are committed to providing support to immigrant workers throughout their journey. This includes offering assistance to international students and workers with various types of visas, such as OPT, H1, EB, and more.

Required profile

Experience

Industry :
Private Equity & Venture Capital
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Decision Making
  • Time Management

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