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Senior AI Alignment Engineer (2026 Vision)

FutureHorizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on the precipice of the next technological revolution. At FutureHorizon Systems, we are building the critical infrastructure for Artificial General Intelligence (AGI) that will define the year 2026 and beyond. We are seeking a visionary Senior AI Alignment Engineer to ensure our systems are not only powerful but safe, ethical, and beneficial for humanity.

As the AI landscape evolves, so does the complexity of ensuring alignment. In this high-impact role, you will work at the cutting edge of Machine Learning, Ethics, and Safety Engineering, collaborating with top-tier researchers and engineers to solve the "alignment problem" before it scales.

Responsibilities

  • Design and implement safety constraints for large-scale generative models and autonomous agents.
  • Conduct rigorous adversarial testing and red-teaming exercises to identify vulnerabilities in AI systems.
  • Collaborate with quantum computing teams to integrate alignment protocols into hybrid architectures.
  • Define ethical frameworks and guidelines for autonomous decision-making processes.
  • Lead the research and development of Reinforcement Learning from Human Feedback (RLHF) methodologies.
  • Present findings and architectural strategies to executive leadership and global technical boards.

Qualifications

  • Master’s or PhD in Computer Science, Computational Linguistics, Philosophy, or a related technical field.
  • 5+ years of experience in Machine Learning, Natural Language Processing (NLP), or AI Safety research.
  • Deep understanding of probabilistic modeling and optimization algorithms.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong grasp of cognitive science principles and human-AI interaction design.
  • Experience with Python, PyTorch, TensorFlow, and Rust.

Required Skills

AI Safety Machine Learning Natural Language Processing Python Ethics RLHF PyTorch NLP Deep Learning

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