As the Lead Applied Research Scientist, you'll be at the forefront of developing innovative, responsible AI solutions that balance advanced machine learning capabilities with ethical imperatives. You’ll lead a dynamic team of researchers and engineers, collaborate across disciplines, and address some of the most pressing challenges in AI development, such as bias mitigation, transparency, and fairness.
This is not just a role; it’s an opportunity to redefine what it means to build AI that benefits everyone.
What You'll Do
Innovate and Research: Develop and implement state-of-the-art algorithms that prioritize fairness, accountability, and transparency in AI systems.
Lead and Mentor: Guide a diverse team of researchers and engineers, fostering a culture of creativity and ethical rigor.
Collaborate Across Disciplines: Work closely with data scientists, ethicists, product managers, and policymakers to ensure AI solutions align with societal needs and values.
Set Standards: Establish and evangelize best practices in Responsible AI across the organization and the industry.
Drive Impact: Translate complex research into actionable frameworks and tools that make a tangible difference in the world.
About You
You are a visionary leader with a strong technical foundation and a deep commitment to ethical AI. You thrive in an environment where science meets impact and are unafraid to tackle the complexities of responsible AI head-on.
Experience:
PhD or equivalent in Computer Science, AI, Machine Learning, or related fields.
7+ years of experience in applied AI research, with at least 3 years in leadership roles.
Proven track record in publishing high-impact research in areas like bias detection, interpretability, or fairness in AI.
Skills:
Expertise in machine learning, deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong coding skills in Python, R, or similar.
Exceptional ability to communicate complex ideas to technical and non-technical audiences.
Mindset:
Passion for ethical innovation and a relentless drive to create technology that serves humanity.
Open, collaborative, and committed to fostering an inclusive environment.
