ML Engineer (Intern)

Pathos • New York, NY

5h • Hybrid

About The Position

We are hiring Machine Learning Engineer and Research Engineer Interns. You will work alongside senior researchers and engineers on high-impact projects spanning:
Thousands-of-GPUs-scale training and inference
Foundation models and representation learning for biomedical and clinical data
Agentic AI systems that support scientific and operational workflows across the drug development lifecycle
This role is ideal for candidates who want to operate at the intersection of frontier machine learning and real-world, high-stakes research and production systems.

Requirements

• Strong programming ability in Python
• Solid fundamentals in machine learning / deep learning through coursework, research, internships, or substantial projects
• Experience with PyTorch and modern training workflows
• Comfort operating in ambiguous problem spaces with a bias toward execution

Nice To Haves

• Experience with distributed systems (e.g., multi-node training, large-scale data loaders, cluster scheduling)
• Familiarity with performance optimization (profiling, kernel efficiency, GPU utilization, throughput/latency)
• Research experience (papers, preprints, open-source contributions, or significant independent work)
• Exposure to biomedical, clinical, or multimodal datasets (helpful but not required)

Responsibilities

• Build and optimize large-scale ML systems for training and inference
• Contribute to foundation-model development, evaluation, and deployment (e.g., multimodal learning, representation learning, retrieval, alignment, and robustness)
• Develop agentic AI components (tool use, planning, orchestration, evaluation harnesses) to accelerate internal scientific and engineering workflows
• Profile and optimize performance across distributed training stacks
• Collaborate closely with cross-functional partners (research, platform, translational/clinical stakeholders) to translate research ideas into scalable, production-ready systems

Benefits

• Hands-on work on hyperscale ML infrastructure and state-of-the-art models
• Opportunities to publish in top-tier venues such as NeurIPS, ACL, and ICML
• Competitive compensation, strong candidates will be considered for full-time roles
• Visa sponsorship, including H-1B, may be available for exceptional candidates, subject to eligibility and company policy
• We encourage new and recent graduates to apply
• Undergraduates or graduates seeking frontier ML systems and research exposure
• Individuals ready to build at the boundary of ML research and production systems
• Engineers looking to scale skills in distributed training, model development, and agentic systems

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 11-50 employees