AI/ML Engineer

Brain Co.

📍
Posted May 21, 2026

Job Overview

Position

AI/ML Engineer

Company

Brain Co.

Location

Work Type

On-site

Job ID

li-4275844846

Job Description

About Brain Co.
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy.

We are building AI applications for the world’s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries.

Our Progress So Far

  • Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value

  • Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses

  • Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work

Company Momentum

  • Raised a $55M Series A from leading investors

  • Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks

At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate.

We are looking for leaders who want to help bring new technology into institutions that impact millions of people.

About The Role
As an AI/ML 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

  • Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.

  • Have impactful industry experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.

  • Have at least a high level familiarity with the architecture and operation of large language models.

  • 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.*

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you design a RAG architecture to automate complex government construction permitting, ensuring high reliability and minimizing hallucinations in regulatory interpretations?
  • 2.Walk me through your process for optimizing and scaling an LLM for a high-throughput production environment, such as streamlining hospital patient care data.
  • 3.Given your experience with Agents and reasoning models, how would you approach building an AI agent to optimize supply chain logistics for an energy company?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to wear multiple hats—like software building, product management, or sales—to successfully deliver an AI project.
  • 2.Describe a situation where you had to translate a complex machine learning concept or model limitation to a non-technical stakeholder, such as a government official or healthcare administrator.
  • 3.Give an example of a time you worked in a fast-paced environment with shifting priorities. How did you ensure your ML project still delivered value?
🧩Situational Questions (2)
  • 1.You are deploying an LLM to modernize a core government workflow, and the model begins to drift, producing inaccurate outputs that could cause compliance issues. How do you handle this?
  • 2.You are tasked with optimizing an energy production system, but the existing data pipelines are messy, siloed, and unreliable. The client expects a deployed model in four weeks. What is your approach?

Resume Keywords

Make sure these keywords appear on your resume

LLMRAGAgentsPyTorchProduction DeploymentData PipelinesModel OptimizationGenAICross-functionalReasoning ModelsScalable ML

Interested in this position? Apply directly on LinkedIn.

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