Remote ML Engineer – AI Safety & Responsible ML

Ladders; United States; À distance; USD 124 000 - 242 000; Plein temps

Avantages offerts par ce poste

Equity opportunities

Comprehensive benefits package

Résumé du poste

Ladders is seeking a Machine Learning Engineer, AI Safety to join our client’s team in the telecommunications and hardware space. This role focuses on building and evaluating ML systems for content safety, model robustness, and responsible AI, partnering with engineers, data scientists, and researchers to strengthen behavior and safety metrics.

The position offers remote work for US-based candidates and a compensation range of $124,000 to $241,500 annually, with equity opportunities and a

Qualifications

• Master’s or PhD in computer science, electrical engineering, or related field, or equivalent experience.
• 2+ years of experience deploying machine learning models in production.
• Strong understanding of machine learning principles and algorithms.
• Hands-on programming in Python and ML frameworks such as PyTorch or Keras.
• 1+ year of experience in content safety, ML fairness, robustness, or related fields.

Responsabilités

• Develop datasets and models for training and evaluating LLMs for content safety, product security, robustness, and ML fairness.
• Research bias detection and mitigation techniques in LLMs and related systems.
• Define and track metrics for responsible LLM behavior and usage.
• Adhere to MLOps best practices in automation, monitoring, scale, and safety.
• Contribute to the MLOps platform and develop tools for ML team effectiveness.
• Collaborate with engineers, data scientists, and researchers on content safety and ML fairness solutions.

Connaissances

Python

ML fundamentals

MLOps

Content safety

Formation

Master’s or PhD in CS/EE or related

Outils

PyTorch

Keras

Description du poste

Ladders is seeking a Machine Learning Engineer, AI Safety to join our client’s team in the telecommunications and hardware space. This role focuses on building and evaluating ML systems for content safety, model robustness, and responsible AI, partnering with engineers, data scientists, and researchers to strengthen behavior and safety metrics.

The position offers remote work for US-based candidates and a compensation range of $124,000 to $241,500 annually, with equity opportunities and a