Staff AI Scientist

Who you are

You have deep expertise in machine learning fundamentals and a proven track record of building and evaluating advanced AI systems — your experience spans data science, statistics, and ML engineering, emphasizing dataset rigor and evaluation methodology. You thrive in environments where scientific rigor is balanced with product and engineering needs, and you are committed to delivering high-quality datasets that stand up to scrutiny.

You possess strong analytical skills and a keen understanding of statistical principles — you can define criteria for dataset construction, ensuring reproducibility and fairness in your work. Your ability to develop new metrics and evaluation frameworks allows you to measure model performance effectively, and you are comfortable collaborating with cross-functional teams to achieve shared goals.

You are passionate about your craft and have an intense work ethic — you believe in the importance of quality and speed, and you are dedicated to continuous growth and improvement in your field. You enjoy mentoring others and sharing your knowledge to help build a strong team culture focused on excellence.

Desirable

Experience with large-scale AI systems and familiarity with industry standards for dataset preparation and evaluation would be advantageous. A background in working with diverse teams and a commitment to fostering an inclusive environment are also highly valued.

What you'll do

In this role, you will design, prepare, and curate high-quality evaluation datasets with defensible methodology — your work will involve defining criteria for dataset construction and ensuring that all datasets meet rigorous statistical standards. You will develop new metrics and evaluation frameworks to measure model performance, contributing to the overall success of AI initiatives at HackerRank.

You will collaborate closely with product and engineering teams to ensure that scientific rigor is maintained while meeting product needs — your ability to communicate complex ideas clearly will be essential in this collaborative environment. You will also be responsible for setting the direction for how AI systems are evaluated, ensuring that all evaluations are thorough and reliable.

Your role will involve continuous learning and adaptation as you stay updated on the latest advancements in AI and machine learning — you will leverage this knowledge to enhance the evaluation processes and contribute to the development of innovative solutions. You will also have the opportunity to mentor junior team members, sharing your expertise and helping them grow in their careers.

What we offer

HackerRank provides a dynamic work environment where you can thrive and make a significant impact — you will be part of a team that values quality, speed, and collaboration. We offer competitive compensation and benefits, along with opportunities for professional development and growth. You will have the chance to work with leading companies in the tech industry, contributing to projects that shape the future of developer hiring and skills assessment.