Remote AI Fairness & Bias Mitigation Lead

Placements24; Queenstown; Hybride; NZD 180 000 - 260 000; Plein temps

Avantages offerts par ce poste

Fully remote

Competitive salary

Health insurance

Paid time off

Résumé du poste

Placements24 is seeking a Remote AI Fairness & Bias Mitigation Lead to champion fairness in AI systems. You will identify and address biases, develop metrics, and guide product and engineering teams on ethical implications. This role offers global remote collaboration and the autonomy to shape responsible AI practices.

You will work with data scientists, engineers, and stakeholders to implement robust fairness solutions and stay ahead of evolving standards in AI governance.

Qualifications

• Ph.D. or Master’s degree in a quantitative field with focus on AI fairness.
• Minimum 5 years in AI/ML with at least 2+ years in AI fairness/bias mitigation.
• Strong theoretical and practical understanding of bias in ML and fairness metrics.
• Proficiency in Python and ML libraries (pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with statistical analysis and experimental design.

Responsabilités

• Lead strategy for identifying, measuring, and mitigating bias in AI models.
• Develop quantitative fairness metrics and evaluation methodologies.
• Collaborate with data science/engineering to integrate bias mitigation in ML lifecycle.
• Conduct fairness audits and provide actionable recommendations.
• Educate and train teams on AI fairness principles and practices.
• Advise on ethical implications of AI systems and biases.
• Develop governance policies related to fairness and bias.

Connaissances

Python

Data analysis

Machine Learning

Pandas

scikit-learn

TensorFlow

PyTorch

Formation

PhD or Master’s in CS/Statistics/Math/Ethics or related field

Outils

Pandas

scikit-learn

TensorFlow

PyTorch

Description du poste

About the Role

Our client is committed to building AI systems that are equitable, unbiased, and trustworthy, and is seeking a pioneering Remote AI Fairness & Bias Mitigation Lead to join their globally distributed team. This fully remote role is pivotal in establishing and championing best practices for ensuring fairness and mitigating bias in our client's AI models and algorithms. You will lead efforts to identify, measure, and address potential biases, working collaboratively with data scientists, engineers, and product teams to develop and implement robust solutions. The ideal candidate possesses a deep understanding of AI/ML, ethical AI principles, and quantitative methods for assessing fairness. This is a unique opportunity to make a significant impact on the responsible development of AI, shaping policies and driving technical implementations that promote equity and inclusion. We are fostering a culture of innovation and responsibility, providing you with the autonomy and resources to excel in this critical domain. Embrace the opportunity to lead the charge in creating fair and unbiased AI solutions from anywhere in the world.

Key Responsibilities

• Lead the strategy and execution for identifying, measuring, and mitigating bias in AI models and algorithms.
• Develop and implement quantitative fairness metrics and evaluation methodologies.
• Collaborate with data science and engineering teams to integrate bias mitigation techniques into the ML development lifecycle.
• Conduct fairness audits and provide actionable recommendations to improve model equity.
• Stay abreast of the latest research and best practices in AI fairness, accountability, transparency, and ethics (FATE).
• Develop internal tools, frameworks, and guidelines for ensuring AI fairness.
• Educate and train teams on AI fairness principles and practices.
• Advise product and engineering teams on the ethical implications of AI systems and potential biases.
• Contribute to the development of AI governance policies related to fairness and bias.
• Communicate complex fairness concepts and findings to technical and non-technical stakeholders.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Ethics, or a related quantitative field with a focus on AI fairness.
• Minimum of 5 years of experience in AI/ML, with a significant focus (2+ years) on AI fairness, bias mitigation, or algorithmic accountability.
• Strong theoretical and practical understanding of bias in machine learning and various fairness definitions and metrics.
• Proficiency in Python and experience with relevant libraries for data analysis and ML (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with statistical analysis and experimental design.
• Knowledge of techniques for bias detection and mitigation in AI systems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to influence and collaborate effectively.
• Experience in developing and implementing policies or technical guidelines is a plus.
• A commitment to promoting ethical and responsible AI development.

Benefits

• Fully remote position with global flexibility.
• Highly competitive salary and performance-driven incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Annual budget for professional development, research, and conference attendance.
• Opportunity to define and lead critical initiatives in AI ethics.
• Collaborative and intellectually stimulating remote work environment.
• Retirement savings plan with employer match.
• Home office setup stipend.
• Access to cutting-edge research and development resources.