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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Futura Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Futura Labs at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We're seeking an innovative AI Ethics Research Lead to architect frameworks that balance technological advancement with human-centric values. You'll collaborate with cross-functional teams to embed ethical safeguards into autonomous systems, ensuring alignment with global regulatory standards while driving breakthrough innovations.

This role offers the unique opportunity to influence industry-wide ethical standards through research publications, policy advocacy, and thought leadership. Our dynamic startup environment provides competitive equity packages and resources to publish cutting-edge research.

Responsibilities

  • Design and implement ethical governance frameworks for next-generation AI systems
  • Lead cross-functional working groups to identify bias mitigation strategies in machine learning pipelines
  • Conduct proactive risk assessments for autonomous decision-making systems
  • Develop industry-wide ethical standards through white papers and policy recommendations
  • Collaborate with legal teams to ensure compliance with evolving AI regulations
  • Mentor junior researchers in applied ethics methodologies
  • Represent the company at global AI ethics summits and conferences

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Proven track record of publishing in top-tier ethics/ML journals (NeurIPS, Ethics & Information Technology)
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Advanced understanding of algorithmic bias detection and mitigation techniques
  • Experience with participatory design methodologies for stakeholder engagement
  • Demonstrated ability to translate complex ethical concepts into technical requirements
  • Strong background in quantitative research methodologies and statistical analysis

Required Skills

AI Ethics Machine Learning Governance Frameworks Regulatory Compliance Risk Assessment Participatory Design Policy Development Bias Mitigation

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