Job Description
Join InnovateX Labs at the forefront of responsible AI development as we pioneer ethical frameworks for the 2026 digital landscape. We're seeking a visionary AI Ethics Research Lead to shape the future of human-centered technology. This role combines cutting-edge machine learning research with profound ethical considerations to build AI systems that align with human values.
In this position, you'll collaborate with interdisciplinary teams to develop bias mitigation protocols, audit AI decision-making systems, and establish industry standards for transparent AI deployment. You'll publish groundbreaking research and present findings at global conferences while mentoring the next generation of ethical AI practitioners.
Our competitive compensation package includes equity, flexible remote work options, and a dedicated innovation budget for your research initiatives. Help us build an AI future that's both revolutionary and responsible.
Responsibilities
- Design and implement bias detection algorithms for large-scale AI systems
- Develop ethical frameworks for autonomous decision-making in healthcare and finance
- Lead cross-functional teams in auditing AI models for fairness and transparency
- Author peer-reviewed research on AI ethics and publish in top-tier journals
- Create certification protocols for responsible AI deployment in regulated industries
- Mentor junior researchers and organize ethics-focused hackathons
- Advocate for ethical AI standards at industry conferences and policy summits
Qualifications
- PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years experience
- Proven track record of publishing in AI ethics or responsible AI domains
- Expertise in fairness metrics, interpretability methods, and bias mitigation techniques
- Experience with regulatory frameworks (GDPR, EU AI Act, US AI Bill of Rights)
- Strong programming skills in Python with ML frameworks (TensorFlow, PyTorch)
- Exceptional communication skills for presenting complex ethical concepts to diverse stakeholders
- Demonstrated leadership in interdisciplinary AI ethics projects
- Portfolio of implemented bias reduction tools or ethical AI frameworks