Senior ML Research Engineer - Remote

Overview

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.

In Short

• Direct advanced applications development for major and highly complex projects.
• Manage multiple projects simultaneously.
• Design and implement software and data services for research productivity.
• Collaborate with researchers to ensure reproducible research standards.
• Build and maintain software code and custom data processing pipelines.
• Apply numerical methods or data analysis to develop custom solutions.
• Provide regular communications to stakeholders with project updates.
• Build advanced curriculum and teach workshops on software management practices.
• Follow Harvard University IT technical standards and policies.
• Work in an office setting with some remote options available.

Requirements

• Minimum of seven years’ post-secondary education or relevant work experience.
• Expertise in software engineering best practices.
• Strong experience in machine learning/AI research.
• Deep understanding of modern machine learning architectures.
• Proficiency in deep learning frameworks, particularly PyTorch.
• Experience with Nvidia GPU stack and HPC technologies.
• Strong problem-solving skills.
• Excellent communication skills.
• Proven track record in an agile environment.
• Completion of foundational courses preferred.

Benefits

• Generous paid time off including parental leave.
• Medical, dental, and vision health insurance coverage starting on day one.
• Retirement plans with university contributions.
• Wellbeing and mental health resources.
• Support for families and caregivers.
• Professional development opportunities including tuition assistance.
• Commuter benefits, discounts, and campus perks.