Job Description
We are building the Artificial General Intelligence (AGI) infrastructure for the year 2026. At Apex Horizon Labs, we believe in a future where technology empowers humanity, and we need a visionary Lead AI Safety Engineer to ensure our models are aligned, robust, and beneficial.
In this pivotal role, you will lead our internal safety initiatives, bridging the gap between cutting-edge machine learning research and ethical deployment. You will work directly with our core research team to architect defenses against adversarial attacks and ensure our LLMs operate within safe boundaries.
Why Join Us?
- Work on the frontier of AI technology.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art offices in SF.
Are you ready to define the safety standards of the next decade? Apply today.
Responsibilities
- Design and implement safety protocols for Large Language Models (LLMs) and generative agents.
- Conduct rigorous red-teaming and adversarial testing to identify vulnerabilities in AI systems.
- Develop and maintain alignment frameworks that ensure AI behavior matches human values.
- Collaborate with researchers to mitigate algorithmic bias and ensure equitable AI outcomes.
- Stay ahead of emerging AI safety threats and publish findings in the field.
Qualifications
- Master’s degree or PhD in Computer Science, AI Ethics, Cognitive Science, or a related field.
- 5+ years of professional experience in Machine Learning, NLP, or AI safety.
- Deep understanding of Transformer architectures and modern LLMs.
- Proficiency in Python, PyTorch, and TensorFlow.
- Experience with alignment research methodologies and safety benchmarking.