2027 Summer Intern, BS

Responsibilities

• Read and write pipeline and implementation code.
• Profile distributed systems to identify and understand performance bottlenecks.
• Build custom harnesses to isolate system components.
• Query existing logs and data sources for aggregate statistics.
• Optimize evaluation pipelines, model efficiency, observability, and LLM-enabled evaluation workflows.

Requirements

• Currently pursuing a bachelor’s degree in software engineering or a related field.
• Working knowledge of Python.
• Understanding of ML fundamentals for training and evaluating models.
• Ability to use agents appropriately for learning and implementation.
• Preferred: distributed systems analysis or optimization experience.
• Preferred: model performance knowledge including sharding, quantization, and batching.
• Preferred: working knowledge of C++.

Benefits

• Competitive compensation package with a housing or relocation bonus if applicable.
• Medical, dental, and vision insurance, subject to eligibility requirements.
• Fun intern events and networking opportunities.
• Free breakfast, lunch, dinner, and snacks onsite.
• Free access to Google shuttles.
• Onsite gym.
• Hybrid onsite internship position.