Brain Co.

AI/ML Engineer

Reposted 2 Days Ago

7 Locations

In-Office

Mid level

Artificial Intelligence • Information Technology • Software

The Role

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

Summary Generated by Built In

About Brain Co.

Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.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
Raised a $30M Series A from top investors
Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks

At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.

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 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