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Senior AI Research Scientist: 2026 Alignment Strategy

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 320.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

The future is arriving sooner than we expected. Nexus Future Systems is seeking a visionary Senior AI Research Scientist to spearhead our 2026 Alignment Initiative. In this pivotal role, you will define the safety protocols for next-generation Artificial General Intelligence (AGI) and ensure our systems remain beneficial, transparent, and robust.


We are looking for a thought leader who doesn't just build models, but architectures for a better tomorrow. If you are passionate about the intersection of advanced deep learning, cognitive science, and ethical AI governance, we want to meet you.


Why Join Us?
β€’ Shape the foundational logic of systems that will define the next decade.
β€’ Work with a world-class team of engineers and ethicists.
β€’ Competitive equity package and top-tier benefits.

Responsibilities

  • Design and implement scalable architectures for 2026-era AI models with a focus on value alignment and safety.
  • Conduct rigorous empirical research to identify and mitigate potential risks in autonomous systems.
  • Collaborate with cross-functional teams to translate theoretical AI safety concepts into practical engineering solutions.
  • Develop novel evaluation metrics and benchmarks for measuring AI reliability and interpretability.
  • Mentor junior researchers and PhD candidates in advanced machine learning methodologies.
  • Advocate for responsible AI practices within the industry and contribute to open-source safety tools.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of experience in research, software engineering, or applied machine learning.
  • Deep understanding of Transformer architectures, Reinforcement Learning from Human Feedback (RLHF), and causal inference.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR, etc.).
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Demonstrated interest in AI ethics, governance, or long-term AI safety.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch AGI AI Ethics Causal Inference Research

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