Machine Learning Engineer, Trust & Safety

AI Breaking Wire; San Francisco (CA); On-site; USD 160,000 - 260,000; Full time

Job summary

OpenAI is seeking a Machine Learning Engineer for the Trust & Safety team in San Francisco. You will build and deploy ML systems to detect harmful content, biases, and safety risks in our models, collaborating with research, product, and policy teams.

The role focuses on designing experiments, robust data pipelines, and applying NLP and classification methods to improve alignment with human values. Strong Python and ML framework experience are required.

Qualifications

• Bachelor's degree in Computer Science or a related field or equivalent practical experience.
• 3+ years of experience in machine learning engineering or a related role.
• Strong programming skills in Python and experience with ML frameworks (PyTorch or TensorFlow).

Responsibilities

• Develop and deploy ML models and systems for content moderation, bias detection, and safety policy enforcement.
• Design experiments to evaluate the effectiveness and fairness of safety systems.
• Collaborate with research, product, and policy teams to define and implement safety strategies.
• Build robust data pipelines and infrastructure for training and evaluating safety models.
• Stay abreast of emerging AI safety research and best practices.

Skills

Machine Learning

Content Moderation

NLP

Python

PyTorch

TensorFlow

Safety

Education

Bachelor's degree in Computer Science or related field

Master's or PhD (preferred)

Job description

# Machine Learning Engineer, Trust & SafetyOpenAI## Job DescriptionOpenAI is dedicated to ensuring that artificial general intelligence benefits all of humanity. As a Machine Learning Engineer on the Trust & Safety team, you will play a critical role in building and deploying ML systems to detect and mitigate harmful content, biases, and other safety risks in our AI models. You will work on challenging problems at the intersection of AI, ethics, and product development, developing innovative solutions to make our AI systems safer and more aligned with human values.\*\*Responsibilities:\*\*- Develop and deploy ML models and systems for content moderation, bias detection, and safety policy enforcement.- Design experiments to evaluate the effectiveness and fairness of safety systems.- Collaborate with research, product, and policy teams to define and implement safety strategies.- Build robust data pipelines and infrastructure for training and evaluating safety models.- Stay abreast of emerging AI safety research and best practices.\*\*Minimum Qualifications:\*\*- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.- 3+ years of experience in machine learning engineering or a related role.- Strong programming skills in Python.- Experience with ML frameworks such as PyTorch or TensorFlow.- Familiarity with NLP and/or classification/detection tasks.\*\*Preferred Qualifications:\*\*- Master's or PhD in a relevant field.- Experience with large-scale ML systems and distributed training.- Experience in AI ethics, safety, or responsible AI development.- Experience with data analysis and evaluation metrics for safety-critical applications.OpenAI offers a mission-driven culture, competitive compensation, and the chance to work on some of the most impactful AI technologies in the world.## Skills & Tagsmachine learningtrust and safetyai safetyresponsible aicontent moderationnlppythonpytorchtensorflow## Job DetailsFull-timeSan Francisco, California$160k – $260k USDPosted July 6, 2026Expires September 4, 2026