AI Safety Researcher - Remote

Overview

An overview paragraph about the job

In Short

• Conduct research into AI safety, focusing on robustness, fairness, and interpretability of machine learning models used in build systems
• Develop algorithms and frameworks that ensure the safe deployment of AI-powered automation in software build, testing, and CI/CD workflows
• Work closely with engineering teams to integrate AI safety mechanisms and ensure robust error handling and fault tolerance
• Investigate and mitigate risks associated with AI-driven decision-making in distributed build systems, especially in mission-critical operations
• Contribute to the development of safety-critical AI models for optimizing performance, caching accuracy, and task coordination across various customer environments
• Conduct studies on the ethical implications of AI in software development, ensuring that algorithms used in NativeLink align with responsible AI principles
• Perform in-depth testing, model validation, and risk assessment to ensure AI systems meet reliability and safety standards
• Collaborate with product managers and engineers to translate research findings into practical tools and features for our customers

Requirements

• 3+ years of experience in AI/ML research, with a focus on safety, robustness, and interpretability
• Strong background in machine learning theory, with practical experience implementing models and algorithms
• Expertise in AI safety frameworks, fault tolerance, and risk mitigation strategies for AI systems
• Experience with reinforcement learning, adversarial training, and robustness testing of AI models
• Proficiency in programming languages such as Python, C++, or Go, with hands-on experience in AI development libraries (e.g., TensorFlow, PyTorch)
• Strong understanding of AI ethics, fairness, and the impact of machine learning algorithms in real-world applications
• Ability to identify potential safety risks in AI-driven systems and design solutions to address them
• Familiarity with distributed systems, cloud infrastructure, and build/test automation frameworks
• Excellent problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment

Benefits

• Work at the cutting edge of AI-powered build optimization and testing tools
• Contribute to the safety and reliability of AI-driven systems used by industry-leading customers
• Collaborate with a dynamic, innovative team dedicated to solving complex problems
• Opportunity to shape the future of AI safety in software development
• Competitive salary and benefits package
• Opportunities for personal and professional development