JOB SUMMARY

The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University is a dynamic and diverse community of students, scientists, and engineers dedicated to unraveling the basis of intelligence in both natural and artificial contexts and leveraging these findings to develop groundbreaking technologies. To support this growing community of scientists and students, the Kempner Institute has established one of the largest academic AI supercomputers in the world. Additionally, the institute is hiring senior engineers with deep experience in machine learning and AI to facilitate cutting-edge research.
We are hiring a Senior ML Research Engineer with a proven record of technical leadership and solid engineering skills to enhance our Research & Engineering team at the Kempner Institute. The Senior ML Research Engineer will play a critical role in building robust machine-learning codebase, distributing AI/ML models on the AI cluster, and utilizing their expertise to tackle complex challenges in large AI/ML applications.
The ideal candidate will demonstrate a passion for pushing the boundaries of AI/ML technologies and an enthusiasm to contribute to a collaborative and innovative environment. Harvard University encourages candidates with diverse backgrounds and fresh perspectives to join the Kempner Institute.

BASIC QUALIFICATIONS

• Minimum of seven years’ post-secondary education or relevant work experience

ADDITIONAL QUALIFICATIONS AND SKILLS

• Expertise in implementing software engineering best practices such as code reviews, version control, documentation, and agile methodologies.
• Strong experience in machine learning/AI research and technical support.
• Deep understanding of modern machine learning architectures and optimization techniques.
• Proficiency in deep learning frameworks (PyTorch).
• Experience with Nvidia GPU stack and HPC technologies.
• Detail-oriented expertise, with strong problem-solving skills to support research.
• Excellent communication skills, able to simplify complex tech concepts.
• Strong team player with a service mindset, able to guide researchers.
• Proven track record of success in working in a cross-functional team in an agile environment.

• Advise researchers in the design, planning, and implementation of software or data analysis that enriches research productivity and reliability
• Build deep understanding of specific research activities through regular engagements
• Develop a scope of work and timely project plan with regular milestones
• Build and maintain software code and custom data processing pipelines for complex environments
• Apply firm understanding of numerical methods or data analysis to develop custom solutions to meet researchers’ needs
• Work in a team of developers and researchers in collaboration with systems professionals
• Provide regular communications to stakeholders with project updates
• Build internal code design and development guides for future contributors
• Build advanced curriculum and teach workshops for researchers on sustainable software and data management practices that preserve the reproducibility of their research domain
• Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct