---
title: 'Early Career Machine Learning Engineer, Applied AI at Brain Co.'
canonical: 'https://feeny.ai/job/early-career-machine-learning-engineer-applied-ai-brain-co-san-francisco-ejh8j1y7dw27'
type: 'job'
last_seen: '2026-09-09'
---

# Early Career Machine Learning Engineer, Applied AI at Brain Co.

- **Company:** Brain Co.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-01-21
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/brainco/bb6e555b-8bb1-4cd7-9813-4f82a5ebe839/application

**Skills:** GenAI, Large Language Models, PyTorch, Jax, TensorFlow, Data Structures, Algorithms, Software Engineering

> Design and deploy advanced LLM models to automate real-world problems in healthcare, government, and energy sectors. Collaborate with leaders to implement AI solutions, build scalable data pipelines, and optimize models for production while engaging directly with government officials.

## Job description

## OUR MISSION

Rebuild how the world works, to make institutions work better for the people they serve.

ABOUT BRAIN CO.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

## WHY NOW

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

## ABOUT THE ROLE

As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.

## IN THIS ROLE, YOU WILL:

- Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
- Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
- Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
- Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
- Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.

YOU MIGHT THRIVE IN THIS ROLE IF YOU:

- Have 0-2 years of industry experience in applied machine learning or related AI work.
- Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Have hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
- Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
- Possess a strong foundation in data structures, algorithms, and software engineering principles.
- Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Can work collaboratively with cross-functional teams.
- Thrive in fast-paced environments where priorities or deadlines may compete.
- Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.

## BENEFITS

- Competitive salary
- Medical, Dental, and Vision (100% Coverage)
- Paid Maternity and Paternity Leave
- 401(k)
- Daily Lunches
- Commuter Benefits
- Unlimited PTO

## WHY JOIN US

- Ship quickly, iterate constantly and see your work deployed at global scale
- Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
- Accelerate your career with ownership based on impact, not tenure
- Earn competitive compensation + meaningful equity in a high-growth company
- Thrive in a culture built on speed, curiosity, and impact

If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.

## About Brain Co.

## Company Overview
- **One-liner**: Brain Co. builds applied AI platforms and applications that automate complex, manual workflows for the world’s most important institutions, turning permitting, insurance, supply chain, and patient-care processes from months-long bottlenecks into minutes-long transactions.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States (also offices in the United Arab Emirates, United Kingdom, and Spain)
- **Founded**: 2024 (founding conversation in February 2024; public launch in 2025)
- **Founders**: Jared Kushner, Dan Ashton (CEO), Elad Gil, Dr. Luis Videgaray, Eric Wu, Mircea Pasoi, Revant Kapoor

## Core Business
- **Primary industries**: Artificial intelligence, government technology, healthcare, insurance, energy, hospitality, supply chain logistics
- **Target customers**: Global 2000 enterprises, federal/state governments, large healthcare systems, insurance carriers (B2B / Enterprise)
- **Mission or purpose statement**: “Empower the world’s most important institutions to create an abundant AI future” and “reinvent the broken processes that hold governments and institutions back.”

## Products & Services
- **Permitting**: Automates construction and other permitting workflows, cutting the process from months to minutes (claims 99% faster, $375M+ unlocked annually). SaaS / AI workflow platform.
- **Specialty Insurance**: Cuts complex underwriting and adjusting workflows from hours to minutes. AI-powered decision engine.
- **Supply Chain**: Optimizes end-to-end supply chain operations, delivering 30% lower cost, 99% reliability, and mitigating $100M+ in lost revenue. Integrated AI platform.
- **Patient Pathways**: Automates patient care-path management, returning patients to optimal care faster. Healthcare AI application.
- **General AI Platform**: An underlying platform that automatically incorporates advances in foundation models, enabling applications to stay current without traditional re-development.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company; Series A at $30M raised)
- **Key Metric**: $30 million total funding (Series A, led by Elad Gil and Affinity Partners, announced October 2025)
- **Notable Investors/Partners**:
  - Lead investors: Elad Gil (Gil Capital), Affinity Partners
  - Strategic partner: OpenAI
  - Angel investors include Ali Ghodsi (CEO Databricks), Andrej Karpathy, Aravind Srinivas (CEO Perplexity), Brian Armstrong (CEO Coinbase), Kevin Weil (CPO OpenAI), Reid Hoffman, Patrick Collison (CEO Stripe), Sarah Guo (Conviction), and many more.
- **Growth Signals**:
  - Headcount: 73 employees (LinkedIn, June 2026), monthly growth of +20.2%, quarterly job posting growth +47.4%
  - 10+ Global 2000 customers and multiple government engagements
  - $375M+ annual value unlocked in permitting alone; $100M+ supply chain revenue loss mitigated
  - Strategic partnership with OpenAI for model access and co-innovation
  - Engineering talent sourced from Stripe, Palantir, Amazon, Adobe, Roblox, and Alchemy

## Competitive Advantages
- **Outcome-based pricing**: Revenue model tied to client results, not software licenses – clients pay based on value delivered.
- **Production deployment, not pilots**: Every engagement begins with a value case; solutions go straight into production.
- **Domain-expertise embedded**: Subject matter experts in each vertical (government, insurance, healthcare) work alongside AI engineers to build around specific rules, regulations, and workflows.
- **Future-proof AI**: Applications automatically incorporate new capabilities from foundation models as they are released, avoiding obsolescence.
- **Enterprise-grade security**: SOC 2 and HIPAA-ready infrastructure with hallucination controls and guardrails.

## Strategic Focus
- Scale the platform across additional government and enterprise verticals (e.g., energy, hospitality)
- Deepen the partnership with OpenAI to rapidly leverage newest model capabilities
- Expand headcount (28 active job postings, especially in AI engineering, infrastructure, security, and deployment)
- Extend presence in the Middle East (Qatar, UAE) and Europe (UK, Spain)
- Continue building a new software-development paradigm where applications auto-update with AI advances

## Why Work Here
- **Culture**: “World-class talent built to deliver applied AI in production.” The team includes engineers from Tesla, NVIDIA, DeepMind, and top tech companies. Emphasis on solving hard, high-impact problems for the largest institutions.
- **Remote/hybrid/office**: Not explicitly stated, but headquarters in San Francisco with distributed teams in UAE, UK, and Spain. Likely a hybrid or office-first model given the nature of client engagements.
- **Notable perks or engineering culture**:
  - Outcome-driven work: every project tied to measurable value cases
  - Direct partnership with OpenAI and access to cutting-edge models
  - High-caliber co-founders (Kushner, Gil, Videgaray, Wu) and leadership (Marne Levine, former COO Instagram/Meta)
  - Rapidly growing (~73 people, +20% monthly headcount growth) – offers early-stage ownership
  - Roles span AI platform engineering, agentic systems, infrastructure, security, and deployment consulting

## Sources
1. [brain.co](https://brain.co/) – Main site overview
2. [brain.co](https://brain.co/blog/introducing-brain-co-9gk9a) – Introducing Brain Co. blog post (funding, founders, investors, customers)
3. [braincompany.ai](https://braincompany.ai/about) – About page (team, approach, security)
4. [linkedin.com](https://www.linkedin.com/company/brainco-ai/jobs) – LinkedIn company page (headcount, growth, job postings, talent sources)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/brainco/) – Careers page (open positions)

## Other roles at Brain Co.

- [Product Manager, Financial Services](https://feeny.ai/job/product-manager-financial-services-brain-co-san-francisco-3fa24156j0vd) — San Francisco, CA
- [Private Equity Engagement Lead](https://feeny.ai/job/private-equity-engagement-lead-brain-co-san-francisco-dsr10m5g52v2) — San Francisco, CA
- [Specialty Insurance Underwriter/Coverage Attorney/Consultant/Professional (Contract)](https://feeny.ai/job/specialty-insurance-underwriter-coverage-attorney-consultant-professional-qwspr442emtg)
- [Commercial/Transactional Lawyer](https://feeny.ai/job/commercial-transactional-lawyer-brain-co-remote-4aeem8qsj0cn)
- [Machine Learning Engineer, Platform](https://feeny.ai/job/machine-learning-engineer-platform-brain-co-san-francisco-3b4v2yrmrnjd) — San Francisco, CA
- [Full Cycle Technical Recruiter](https://feeny.ai/job/full-cycle-technical-recruiter-brain-co-san-francisco-wwne111bgb3d) — San Francisco, CA
- [Machine Learning Engineer, Applied AI - Deployed](https://feeny.ai/job/machine-learning-engineer-applied-ai-deployed-brain-co-london-8n2mv9qr9d3v) — London, United Kingdom
- [AI Product Engineer, Deployed](https://feeny.ai/job/ai-product-engineer-deployed-brain-co-london-wknmh7b52szs) — London, United Kingdom
- [AI Deployment Lead](https://feeny.ai/job/ai-deployment-lead-brain-co-abu-dhabi-dyvjtkbpcb7h) — Abu Dhabi, United Arab Emirates
- [AI Platform & Infrastructure Engineer, Deployed](https://feeny.ai/job/ai-platform-infrastructure-engineer-deployed-brain-co-abu-dhabi-w9efm94wfs0s) — Abu Dhabi, United Arab Emirates