The Senior ML Research Engineer will direct advanced applications development for major and highly complex projects, typically working as part of a team to implement complex business solutions.
This role involves managing multiple projects simultaneously, defining problems, designing solutions, and gaining resources to carry out those solutions.
The engineer will set the strategic direction for the applications development group and design, plan, and implement software and data services that support and enrich research productivity and reliability.
The position requires developing software and data services with researchers to ensure adherence to modern standards of reproducible research.
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University is seeking a candidate with a proven record of technical leadership and solid engineering skills to enhance its Research & Engineering team.
The role includes advising researchers, building a deep understanding of specific research activities, developing project plans, maintaining software code, and applying numerical methods to develop custom solutions.
The engineer will work collaboratively with a team of developers and researchers, provide regular communications to stakeholders, and build internal code design guides.
Additionally, the role involves teaching workshops on sustainable software and data management practices to preserve research reproducibility.
Work is performed in an office setting.
Requirements:
Candidates must have a minimum of seven years of post-secondary education or relevant work experience.
Expertise in implementing software engineering best practices such as code reviews, version control, documentation, and agile methodologies is required.
Strong experience in machine learning/AI research and technical support is essential.
A deep understanding of modern machine learning architectures and optimization techniques is necessary.
Proficiency in deep learning frameworks, particularly PyTorch, is required.
Experience with Nvidia GPU stack and HPC technologies is expected.
Candidates should possess detail-oriented expertise with strong problem-solving skills to support research.
Excellent communication skills are necessary to simplify complex technical concepts.
A strong team player with a service mindset who can guide researchers is preferred.
A proven track record of success in working in a cross-functional team in an agile environment is required.
Completion of Harvard IT Academy specified foundational courses (or external equivalent) is preferred.
Benefits:
Harvard offers a generous paid time off policy, including parental leave.
Medical, dental, and vision health insurance coverage begins on day one of employment.
The position includes retirement plans with university contributions.
Employees have access to wellbeing and mental health resources.
Support for families and caregivers is provided.
Professional development opportunities, including tuition assistance and reimbursement, are available.
Commuter benefits, discounts, and campus perks are included in the benefits package.
