Machine Learning Engineer

I’m helping Root Access find a top candidate to join their team full-time for the role of Machine Learning Engineer.

You will build intelligent, self-learning systems to revolutionize embedded AI development.

Compensation:

USD 130K - 185K/year

+ Bonuses (up to 1% of base compensation)

Location:

555 8th Avenue, New York, NY, USA

Mission of Root Access:

"Our mission is to empower engineers with AI-driven tools that optimize development, debugging, and integration in embedded systems, driving efficiency and innovation in advanced technology."

What makes you a strong candidate:

• You are proficient in PyTorch, Machine learning (ML), Agentic AI, AWS.
• You have the potential to develop in Software engineering, Python, Data scraping, Data science.
• English - Conversational

Responsibilities and more:

Role Description:

The Machine Learning Engineer is responsible for designing and developing machine learning systems, implementing suitable ML algorithms, conducting experiments, and enhancing the product. The engineer works with data to create models, perform statistical analyses, and train and retrain systems to optimize performance. The goal is to build efficient self-learning applications that provide value to customers. This position is within an early-stage company with ambitious objectives.

Qualifications:

* Proficiency in PyTorch and modern transformer-based systems.

* Experience with AWS for scalable ML service deployment.

* Knowledge of Agentic AI frameworks (e.g., Langchain, MCP, A2A) and RAG systems.

* 1-3+ years of full-time experience at a hypergrowth startup.

* Strong mathematics background.