MLabs

Founding Engineer

New York, New York, United States · Full-time

No sponsorship$150k-$350kDetected 23 days ago

PythonReactNode.jsFull-Stack DevelopmentAWSGCPMachine Learning

About the role

By moving beyond traditional "LeetCode" style evaluations, our client has developed a fundamentally better way for companies to identify talent, combat fraud, and market top-tier candidates to Fortune 500 organizations.
The organization is currently at an ideal inflection point: they have moved past product-market fit and are entering a rapid scaling phase.
Backed by a $3.1M seed round from premier investors-including GSV Ventures, BoxGroup, and angels from OpenAI, SpaceX, and Retool-the company has already surpassed seven figures in revenue.

Innovation in Evaluation: Define and build the new standard for technical interviewing, creating systems that retire outdated evaluation methods and provide high-fidelity talent assessments.
System Architecture: Design, develop, and maintain critical full-stack systems from the ground up, ensuring high performance and scalability.
End-to-End Ownership: Manage features and systems through the entire lifecycle-from initial concept and architectural design to deployment and monitoring.
Build the Future: Join at the ground floor and play a pivotal role in shaping both the product and the company culture while solving complex, industry-wide problems.
Your data may be shared only with clients and trusted partners where necessary for recruitment purposes.

4+ years of experience in modern full-stack development.
Advanced proficiency in React, Node.js, and Python (or similar frameworks) is expected.
Demonstrated ability to thrive in a fast-moving, high-performance startup environment where ambiguity is common.
If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion.
Technical Proficiency: 4+ years of experience in modern full-stack development.

$150K - $350K Our client is a high-growth, venture-backed startup on a mission to reinvent technical interviewing and transform the global $600B+ staffing industry.
By moving beyond traditional "LeetCode" style evaluations, our client has developed a fundamentally better way for companies to identify talent, combat fraud, and market top-tier candidates to Fortune 500 organizations.
The organization is currently at an ideal inflection point: they have moved past product-market fit and are entering a rapid scaling phase.
Backed by a $3.1M seed round from premier investors-including GSV Ventures, BoxGroup, and angels from OpenAI, SpaceX, and Retool-the company has already surpassed seven figures in revenue.
Their customer base includes dozens of enterprise staffing firms, including the largest staffing firm in the world.
Our client is seeking a Founding Engineer to join a talent-dense team of seven hailing from institutions and companies such as Stanford, Penn, Waterloo, Retool, and MongoDB.

At MLabs, we are committed to offer equal opportunities to all candidates.
We ensure no discrimination, accessible job adverts, and providing information in accessible formats.
Our goal is to foster a diverse, inclusive workplace with equal opportunities for all.
If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only.
You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates.
Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates.

Our client is open to candidates who will relocate and will consider visa sponsorship.

This listing is sourced directly from MLabs's careers page and normalized into a canonical job model.