Early Career Machine Learning Engineer, Applied AI
Brainco · San Francisco Bay Area
About this role
## Early Career Machine Learning Engineer, Applied AI ### About Brain Co. Brain Co. builds **AI-native operating systems** for large, regulated institutions. Each system is tailored to a specific industry and powered by agents that push real workflows forward. Underneath it all is **Atlas**, our proprietary platform—**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 and a growing footprint across **government, insurance, health, and financial services**. Every project ships to production and is expected to create **measurable customer value and impact**. ### About the Role As an Early Career Machine Learning Engineer, you’ll help deploy state-of-the-art models to automate real-world problems across sectors such as **healthcare, government, and energy**. You’ll turn research breakthroughs into practical solutions and make a meaningful impact by making AI both **accessible** and **influential**. ### In This Role, You Will - **Innovate & Deploy:** Design and deploy advanced **LLM models** to automate complex, manual processes across real-world verticals. - **Optimize & Scale:** Build scalable data pipelines, optimize models for **performance and accuracy**, and prepare them for **production**. - **Monitor & Maintain:** Ensure deployed models continue delivering value across governments worldwide. - **Make a Difference:** Work on projects such as optimizing advanced energy production systems, modernizing core government workflows, and improving patient outcomes in public healthcare. - **Engage with Leaders:** Collaborate with experienced builders and interact with government officials to deliver AI-powered solutions. - **Learn & Lead:** Stay current with ML/AI developments, participate in code reviews, share knowledge, and uphold high engineering standards. ### You Might Thrive If You Have - **0–2 years** of industry experience in applied machine learning or related AI work. - A **BSc/Master’s/PhD** in Computer Science, Machine Learning, Data Science, or a related field. - Hands-on experience building **GenAI-focused applications** (e.g., agents, reasoning workflows, **RAG**) and a strong understanding of how LLMs are architected and operated. - Experience implementing models in **PyTorch, JAX, or TensorFlow**. - Strong foundations in **data structures, algorithms, and software engineering**. - Excellent problem-solving and analytical skills; proactive and collaborative. - Comfort working in a fast-paced environment and owning problems end-to-end. ### Benefits - Competitive salary - **Medical, Dental, Vision (100% coverage)** - Paid Maternity & Paternity Leave - 401(k) - Daily Lunches - Commuter Benefits - Unlimited PTO ### Why Join Us - Ship quickly and iterate with work deployed at global scale - Collaborate with industry veterans - Career growth driven by **ownership and impact** - Competitive compensation + meaningful equity - 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.*
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