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24/7 Machine Learning Engineer employees

Jarmin.ai is your 24/7 ML eng employee that you hire. Just talk to Jarmin like any other employee and Jarmin handles your AI/ML work from there. Completely hand over full initiatives or individual tasks. Jarmin’s founding team is from Meta SuperIntelligence Labs (Staff Engineers), Apple (Machine Learning Engineer), AWS (scaling infra), Lockheed-Martin (Research), and JPMorganChase (SWE) with experience building AI/ML and automating complex work of Researchers, Data Scientists, ML Engineers with AI.
Active Founders
Chalmers Brown
Chalmers Brown
Co-Founder & CEO
Co-Founder & CEO @ Jarmin.ai Ex-Meta SuperIntelligence Labs, Staff Engineer | Ex-Techstars Founder | Ex-JPMorganChase SWE | Team USA Athlete Using experience automating the work of Researchers, Data Scientists, Machine Learning Engineers to bring Jarmin to life. Education: - Stanford Engineering Everywhere program - Harvard Business School Online - Rutgers University (Computer Science & Pre-Med)
Shir Halder
Shir Halder
Co-Founder & Head of ML
Prev: - ML/GenAI research at Apple - Research for Lockheed Martin - Research at INRIA, Universite Laval, Indian Statistical Institute - Published ML/CV papers at CVPR (best paper), ICCV, ACCV, IJCV, etc Education: - CS/Robotics at Carnegie Mellon - CS at IIT Roorkee
Zack Leman
Zack Leman
Co-Founder & CTO
Co-Founder & CTO at Jarmin.ai Previously - Staff Engineer at Meta Superintelligence Labs - SWE at Amazon Web Services (AWS) - CTO & co-founder of (catch) health - Founding SWE at Artera Education: Business Bridge Program @ The Tuck School of Business at Dartmouth Bowdoin College (Neuroscience & CS double major)
Company Launches
Jarmin.ai - You can now hire 24/7 Machine Learning Engineer employees
See original launch post

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TLDR
Jarmin is an autonomous ML engineer that ships production AI/ML features. Assign projects or individual tasks, and Jarmin handles the end-to-end workflow for models, pipelines, testing, and improvements.

https://youtu.be/HjWlOLEn2JI

Our Team is impressive with the right experience
Chalmers and Zack were Staff Engineers at Meta Super Intelligence labs building LLM training infrastructure and agents to assist ML Engineers. Before Meta, Zack built scalable real-time infra at AWS. Shir is similarly entrenched in the ML world, as a Research ML Engineer at Apple shipping production ML to billions of users and a Researcher at Lockheed Martin.

The Problem
Prompt engineering using Claude Code/Cursor isn’t enough to handle production ML workflows such as domain-specific feature engineering, model selection under constraints, hyperparameter optimization, and many more nuanced decisions that make it nearly impossible to move fast without dedicated ML engineering resources.

Hiring ML engineers can take 3-6+ months at $200K+ annually with costs skyrocketing for top talent. The barrier is even higher for SMBs: you need to build infrastructure, hire specialized engineers, and compete with tech giants, so your data sits unused. Companies with ML teams aren't much better off. Engineers spend most of their time on operational overhead (data wrangling, pipeline debugging, infrastructure maintenance) instead of innovation.

How Jarmin Works
Talk to Jarmin about what you want to build via our chat UI. Jarmin understands your ML goals, connects to your data sources, experiments with approaches, and deploys production pipelines. Under the hood, Jarmin is a system of proprietary agents, models, automations that each handle portions of the ML lifecycle. This system enables Jarmin to execute on the hundreds of micro-decisions ML Engineers typically have to handle in the ML development lifecycle.

You choose your level of involvement: full autonomy or approval at key decision points.

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Our Vision
We're not replacing people. We are giving them superpowers. We will enable the competitive advantage that used to belong only to companies with top-tier AI/ML teams to be accessible to everyone.

Our vision is for every company to have a top-tier AI/ML team.

A Jarmin For Every Industry
Jarmin can be used in any industry that could be improved with custom AI. We’ve seen Jarmin be helpful for: semiconductor manufacturers catching defects, biotech companies analyzing microbes, AI marketing platforms, social media apps and marketplaces building recommendation systems. Different industries, same story. They've got big ideas and now they finally have the ML horsepower to pull them off.

Get Started
Contact us at chalmers@jarmin.ai to hire Jarmin.

YC Photos
Jarmin
Founded:2025
Batch:Fall 2025
Status:
Active
Location:San Francisco
Primary Partner:Nicolas Dessaigne