Remote ML Engineer (New Grad) — LLM Safety & Moderation

Jobgether; United States; Remote; USD 107,000 - 153,000; Full time

Benefits offered by this job

Remote-first

Equity awards

Healthcare

Paid time off

Remote-work reimbursement

Professional development

Job summary

Jobgether is seeking a New Grad Machine Learning Engineer to join a Quora-based partner project in the United States. You will design, build, and deploy LLM-powered agents to detect and address harmful content and automate moderation workflows.

Collaborate with experienced ML engineers to develop scalable AI systems, evaluate model performance, and iterate from development to production. Remote-first role with opportunities to contribute to content safety on a global platform.

Qualifications

• Bachelor's or higher in CS/Engineering or related field.
• Strong Python programming skills.
• Experience with LLMs, transformers, NLP.
• Familiarity with ML frameworks (PyTorch, TensorFlow).
• Experience building or evaluating LLM-powered agents.
• Availability to start early 2027.
• Ability to collaborate across teams.
• Remote-ready or US-based.

Responsibilities

• Design, build, deploy LLM-powered agents for content safety.
• Develop agentic workflows to automate moderation.
• Build ML models for evolving abuse patterns.
• Evaluate model performance using offline and online testing.
• Investigate failures and refine approaches.
• Collaborate with ML engineers and cross-functional teams.
• Own projects through lifecycle.
• Contribute to learning and knowledge sharing.
• Help develop scalable AI systems.

Skills

Python

Analytical thinking

Collaboration

Curiosity for AI

Model evaluation

Education

BSc/MSc/PhD in CS/Engineering

Tools

PyTorch

TensorFlow

Spark

Kubernetes

Job description

Jobgether is seeking a New Grad Machine Learning Engineer to join a Quora-based partner project in the United States. You will design, build, and deploy LLM-powered agents to detect and address harmful content and automate moderation workflows.

Collaborate with experienced ML engineers to develop scalable AI systems, evaluate model performance, and iterate from development to production. Remote-first role with opportunities to contribute to content safety on a global platform.