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Senior AI Ethics Engineer | San Francisco, CA

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

Job Description

Join Nexus Future Labs as a Senior AI Ethics Engineer and help shape the trajectory of technology in 2026 and beyond. We are pioneering the next generation of autonomous systems and are seeking a visionary leader to ensure our technologies align with human values.

In this pivotal role, you will bridge the gap between complex algorithmic development and societal impact. You will define the ethical frameworks for our upcoming product lines, conduct rigorous bias audits, and collaborate with cross-functional teams to build responsible AI solutions.

Why Join Us?

  • Work on cutting-edge projects that define the future of work.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Develop and implement comprehensive AI ethics guidelines and compliance frameworks.
  • Conduct independent audits on machine learning models to identify and mitigate algorithmic bias.
  • Advise engineering teams on the ethical implications of new technologies and feature development.
  • Collaborate with legal and policy departments to navigate the regulatory landscape of 2026.
  • Lead workshops and training sessions to foster a culture of responsibility across the organization.
  • Monitor emerging ethical issues in AI and propose proactive solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Ethics, Philosophy, or a related technical field.
  • 5+ years of experience in AI/ML engineering, policy, or ethical auditing.
  • Deep understanding of machine learning principles, NLP, and predictive modeling.
  • Strong analytical skills with the ability to deconstruct complex systems.
  • Excellent written and verbal communication skills.
  • Experience with regulatory frameworks such as the EU AI Act or California Consumer Privacy Act.

Required Skills

Artificial Intelligence Machine Learning Ethics Python NLP Bias Mitigation Compliance

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