1 year ago
Responsibilities
- Design and deploy advanced LLM models to automate complex manual processes across real-world verticals.
- Build scalable data pipelines and optimize models for performance and accuracy.
- Prepare models for production and monitor and maintain deployed systems.
- Develop AI solutions for energy production, government workflows, healthcare systems, and other institutional challenges.
- Interact directly with government officials and apply AI solutions to complex business problems.
- Collaborate with founders, AI researchers, software engineers, and other stakeholders.
- Stay current with machine learning and AI developments, participate in code reviews, share knowledge, and promote high-quality engineering practices.
Requirements
- Bachelor’s, master’s, or PhD degree in computer science, machine learning, data science, or a related field.
- Impactful industry experience building generative AI-focused applications using technologies such as agents, reasoning models, and RAG.
- High-level familiarity with the architecture and operation of large language models.
- Hands-on experience implementing models with PyTorch, JAX, or TensorFlow.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Excellent problem-solving and analytical skills with a proactive approach.
- Ability to collaborate with cross-functional teams and work in a fast-paced environment.
- Willingness to own problems end-to-end and acquire necessary knowledge.
Benefits
- Medical, dental, and vision coverage at 100%.
- Paid maternity and paternity leave.
- 401(k).
- Daily lunches.
- Commuter benefits.
- Unlimited paid time off.
- Meaningful equity and competitive compensation are offered, but no specific compensation figures are stated.
Tech Stack
PyTorchTensorFlow
Categories
About Brain Co.
We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/