Head of AI Research

Job Title: Head of AI Research

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Location:

[Location] (Opportunities for remote/hybrid/flexible work available)

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Reports to:

CAIO / CTO / CIO

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Role Purpose

We are looking for an accomplished Head of AI Research to lead advanced research and guide strategic decision-making in a dynamic, results-driven AI setting at [Company Name]. Working from our [Location] office—or remotely if you choose—you will oversee groundbreaking initiatives, influence future product direction, and serve as a key voice in defining the technical roadmap of the organization.

 

Company Overview

[Company Name] is a specialized AI firm in the [Industry] sector, committed to delivering exceptional and impactful solutions to clients worldwide. We maintain a collaborative culture that prizes creative thinking, dedication, and ethical principles. Having earned recognition as one of the top workplaces in our field, we offer an environment that supports professional development and encourages new ideas. Our ongoing focus on sophisticated techniques—such as generative modeling, natural language processing, and advanced computer vision—places us at the forefront of AI research and commercialization.

 

Key Responsibilities

• Set Research Direction

  • Establish and prioritize short- and long-term AI research goals based on emerging trends in fields such as deep learning, reinforcement learning, and natural language processing.

  • Build frameworks to assess, prototype, and refine new algorithmic approaches for real-world applications.

• Lead a High-Performing Team

  • Recruit, mentor, and support AI researchers, data scientists, and ML engineers, ensuring effective collaboration and knowledge exchange across all levels.

  • Guide team members on best practices for data analysis, code optimization, and algorithmic experimentation.

• Oversee End-to-End Projects

  • Design and execute ambitious AI projects, from defining research objectives and data acquisition strategies to model deployment and post-deployment analysis.

  • Implement robust development workflows, ensuring reproducibility and reliability throughout the research lifecycle.

• Collaborate Across Functions

  • Partner with product management, software engineering, and analytics teams to align research efforts with product roadmaps and client needs.

  • Translate complex technical discoveries into actionable insights for key stakeholders, highlighting potential business impact.

• Drive Technical Excellence

  • Continuously assess and integrate new tools, libraries, and infrastructure solutions that accelerate model training, experimentation, and deployment.

  • Champion best practices in data governance, privacy, and bias mitigation to maintain responsible use of AI.

• Represent the Company Externally

  • Present research findings at industry conferences and publish in leading journals when possible.

  • Engage with academic and industry leaders to cultivate partnerships and maintain the company’s visibility in the AI community.

• Budget and Resource Management

  • Work closely with executive leadership to plan research budgets, ensuring optimal allocation of resources for personnel, compute, and data acquisition.

  • Evaluate vendor relationships and technical partnerships to support the evolving needs of the AI research program.

• Maintain Compliance and Ethical Standards

  • Uphold ethical guidelines, regulatory requirements, and security best practices in AI research and deployment.

  • Regularly review project plans to confirm that data usage and model outcomes meet industry and organizational standards.

 

Required Skills and Qualifications

• Educational Background

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Significant research experience may be considered in lieu of advanced degrees.

• Technical Expertise

  • Proven proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (Python, C++), and statistical modeling techniques.

  • Hands-on experience with large-scale systems, distributed computing environments, and modern data pipelines (e.g., Kubernetes, Kubeflow, Spark).

• Leadership Experience

  • History of managing cross-disciplinary AI research teams, including setting clear objectives and overseeing professional development.

  • Familiarity with agile project management methods, fostering effective collaboration among diverse teams.

• Research Track Record

  • A strong publication record or evidence of contribution to cutting-edge AI research, with the ability to design experiments, interpret findings, and iterate on results.

• Strategic Vision

  • Talent for recognizing high-impact AI opportunities and balancing innovative experiments with commercial feasibility.

  • Adept at collaborating with senior management to define and prioritize research agendas that fuel business growth.

• Communication and Influence

  • Capacity to present technical concepts clearly to both specialized and non-technical audiences.

  • Demonstrated ability to articulate a persuasive vision, gather stakeholder buy-in, and maintain alignment across departments.

• Ethical Considerations

  • In-depth understanding of responsible AI practices, including bias detection and mitigation, data privacy, and regulatory frameworks.

• Adaptability

  • Comfortable working in a fast-paced environment that involves constant learning, experimentation, and refinement of methods.

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Perks and Benefits:

Clearly outline the benefits and perks of the role.

 

How to Apply:

End with a strong call to action encouraging candidates to apply. Include a direct link to the application page and provide contact information for further queries.

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Please ensure each job description includes all relevant information in compliance with local, state, and national laws. This includes:

 

• Salary Information: Provide a clear salary range to maintain transparency and meet legal requirements.

• Privacy Policies: Protect candidate privacy by following all applicable data protection and privacy laws.

• Equality & Non-Discrimination: Include an equal opportunity statement to uphold our commitment to a diverse, inclusive workplace that does not discriminate based on race, gender, age, disability, or any other protected characteristic.

• Accessibility: Make reasonable accommodations available for candidates with disabilities and include information on how they can request assistance throughout the hiring process.

• Environmental and Social Responsibility: If your company has sustainability initiatives or community engagement programs, mentioning them briefly can attract candidates who prioritize working for socially responsible employers.

• Transparent Hiring Process: Briefly explain the hiring process (e.g., “Our interview process typically includes three stages: an initial screening, a technical interview, and a final interview”) to help candidates know what to expect.