Root Access is an applied AI company helping develop mankind’s most important machines. The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product.
Requirements
- Proficiency in PyTorch and modern-transformer based systems
- Experience with AWS for scalable ML service deployment
- Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, MCP, A2A) and RAG systems
- Experience with recommender systems, embeddings, foundation models
- You write reliable Python
- know your way around infra basics
- care about performance
Responsibilities
- designing and developing machine learning systems
- implementing appropriate ML algorithms
- conducting experiments
- improving the product
- create models
- perform statistical analysis
- train and retrain systems to optimize performance
Other
- US Citizens and Permanent Resident (green card holders) only.
- Have 1-3+ years of full-time experience at a hypergrowth startup
- You understand when to use the fancy stuff—and when to keep it simple.
- You’ve shipped ML systems that run in the real world.
- You’ve worked with messy data—scraping, parsing, cleaning, and transforming it into something your models can learn from.
