Job Description
Are you ready to define the ethical framework of tomorrow's artificial intelligence? Nexus Future Technologies is seeking a visionary Senior AI Safety & Ethics Engineer to join our elite team in San Francisco. We are building the foundational systems for General Artificial Intelligence (AGI) and require experts who can ensure these powerful systems remain aligned with human values.
In this pivotal role, you will bridge the gap between cutting-edge machine learning research and robust ethical governance. You will work directly with our Chief Scientists to design safety protocols, bias mitigation strategies, and transparency frameworks that will set the industry standard for 2026 and beyond.
Why join Nexus Future Technologies?
- Work on the frontier of Artificial General Intelligence (AGI).
- Competitive equity package and benefits.
- Flexible remote/hybrid work options.
- Access to state-of-the-art compute resources.
Applicants must be authorized to work in the United States. No visa sponsorship is currently available for this position.
Responsibilities
- Design and implement safety frameworks for Large Language Models (LLMs) and autonomous agents.
- Conduct rigorous auditing of algorithmic outputs to identify and mitigate biases and societal risks.
- Collaborate with cross-functional teams to integrate ethical constraints into the model training pipeline.
- Develop standardized guidelines for AI transparency and explainability.
- Stay abreast of global AI regulations and advocate for compliant, responsible innovation.
- Mentor junior engineers and researchers in best practices for safe AI development.
Qualifications
- Master’s degree or PhD in Computer Science, Philosophy, Ethics, or a related technical field.
- 5+ years of experience in Machine Learning, AI Research, or a related technical discipline.
- Deep understanding of AI safety concepts including adversarial attacks, RLHF (Reinforcement Learning from Human Feedback), and interpretability.
- Strong programming skills in Python and familiarity with PyTorch or TensorFlow.
- Demonstrated ability to think critically about the societal impact of emerging technologies.
- Excellent communication skills for translating complex technical concepts to diverse stakeholders.