Machine Learning Engineer

Root Access; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A cutting-edge AI company in New York is looking for a Machine Learning Engineer to design and develop machine learning systems. The ideal candidate will have strong proficiency in PyTorch and experience with AWS. Responsibilities include conducting experiments, performing statistical analysis, and improving product performance. The company prides itself on its ambitious goals and seeks individuals with a strong sense of ownership and adaptability. This is an exciting opportunity for someone ready to contribute to impactful AI solutions.

Qualifications

• 1-3+ years of full-time experience at a hypergrowth startup.
• Experience with recommender systems and foundation models.
• Reliable Python coding skills and understanding of infra basics.

Responsibilities

• Design and develop machine learning systems and algorithms.
• Conduct experiments and improve product performance.
• Work with data to create models and perform statistical analysis.

Skills

Proficiency in PyTorch

Experience with AWS

Experience with Agentic AI frameworks

Strong ML Foundations

Production Mindset

Data Agility

Frontend Awareness

High Ownership DNA

1-of-1 Energy

Job description

Company Overview

Root Access is an applied AI company helping develop mankind’s most important machines.

Role Description

The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product. They work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning applications that will delight customers. This is an early-stage company with ambitious goals.

You might be a good fit if you have:

• 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
• Have 1-3+ years of full-time experience at a hypergrowth startup

What We’re Looking For

• Strong ML Foundations - Experience with recommender systems, embeddings, foundation models. You understand when to use the fancy stuff—and when to keep it simple.
• Production Mindset - You’ve shipped ML systems that run in the real world. You write reliable Python, know your way around infra basics, and care about performance.
• Data Agility - You’ve worked with messy data—scraping, parsing, cleaning, and transforming it into something your models can learn from.
• Frontend Awareness - You’re not expected to be a frontend engineer, but you know how to make ML feel native in a modern React-based product.
• High Ownership DNA - You see the problem, spec the solution, and ship. You don’t need permission—you need a challenge.
• 1-of-1 Energy - You’ve been underestimated, or boxed in. You're ready to work somewhere that lets you fully show what you're capable of.