Job Description
Join Synapse Global, a pioneer in next-generation artificial intelligence, as we architect the safety protocols for the year 2026. The line between human intent and machine execution is blurring, and we need visionaries to ensure our systems remain aligned with human values as we approach the AGI threshold.
In this pivotal role, you will define the ethical boundaries and technical safeguards for our flagship models. You will work at the intersection of philosophy, computer science, and cognitive psychology to build the trust layer of tomorrow's digital infrastructure.
Why join us?
- Work on the frontier of AI safety before the 2026 mainstream adoption.
- Competitive compensation package with equity options.
- Collaborate with world-class researchers and ethicists.
If you are passionate about the future of technology and the responsibility that comes with it, we want to hear from you.
Responsibilities
- Define Safety Protocols: Establish and maintain the core alignment frameworks that prevent unintended behaviors in large language models and neural networks.
- Adversarial Testing: Lead red-teaming exercises and stress-tests to identify vulnerabilities in model reasoning before deployment.
- Policy Development: Create and document ethical guidelines for AI decision-making processes in high-stakes environments.
- Human Feedback Loops: Design and implement Reinforcement Learning from Human Feedback (RLHF) pipelines to fine-tune model outputs.
- Research Integration: Stay at the cutting edge of AI safety research, integrating the latest academic findings into our production systems.
Qualifications
- Education: Advanced degree (PhD or Master's) in Computer Science, Computational Linguistics, Philosophy, or a related field.
- Experience: 5+ years of experience in Machine Learning, NLP, or AI Safety research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and familiarity with causal inference and game theory.
- Analytical Mindset: Strong ability to reason about complex systems and anticipate edge-case scenarios.
- Communication: Excellent written and verbal skills to articulate technical risks to non-technical stakeholders.