Remote Senior ML Research Engineer

Description:

• 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.