BrainCo
Early Career Machine Learning Engineer, Applied AI
About this role
Brain Co. is seeking an early-career AI/ML engineer to deploy cutting-edge language models and automation solutions for governments, healthcare systems, and critical industries. You'll work on high-impact projects that directly improve institutional workflows and affect millions of people, collaborating with experienced AI researchers and leaders.
What you'll do
- Design and deploy advanced LLM models to automate complex manual processes across government, healthcare, and energy sectors
- Build scalable data pipelines and optimize models for production performance and accuracy
- Monitor and maintain deployed models in production environments across multiple countries
- Interact directly with government officials and institutional stakeholders to understand challenges and deliver solutions
- Participate in code reviews and maintain high-quality engineering standards across the team
- Own problems end-to-end from research breakthrough to real-world deployment
What they're looking for
- Generative AI application development (agents, reasoning workflows, RAG systems)
- Large language model architecture and operations
- ML frameworks (PyTorch, JAX, or TensorFlow)
- Data structures, algorithms, and software engineering principles
- Problem-solving and analytical thinking
- Cross-functional collaboration
- Scalable system design and data pipelines
- Adaptability in fast-paced, dynamic environments
Benefits
- Competitive salary
- Medical, dental, and vision coverage (100%)
- Paid maternity and paternity leave
- 401(k)
- Daily lunches and commuter benefits
- Unlimited PTO
Opens the official application on the employer’s site. No login required.
BrainCo
BrainCo builds and deploys cutting-edge AI and language model solutions for governments, healthcare systems, and critical infrastructure organizations. The company is hiring AI/ML engineers, backend platform engineers, AI platform engineers, and sales engineers to develop scalable infrastructure, production AI systems, and secure government contracts.
View all jobs at BrainCoLikely interview questions
- Walk us through a GenAI application you've built from scratch—what was the architecture, what frameworks did you use, and what was the biggest challenge you faced in getting it to production?
- Describe your experience optimizing LLM performance or accuracy. What metrics did you track, and how did you balance performance gains against latency or cost constraints?