Machine Learning Engineer Intern, Agentic ML (Summer 2026)
Skills
- Solid foundation in software engineering, algorithms, and data structures
- Familiarity with Python and ML frameworks (scikit-learn, PyTorch, or TensorFlow)
- Basic understanding of machine learning principles and model evaluation
- Interest in agentic systems and large language models
- Strong collaboration and communication skills
Responsibilities
- Build and prototype tools and workflows for rapid agent development, including agent definitions, toolchain composition, and reasoning loops.
- Develop platform solutions for scalable experimentation, synthetic dataset generation, and multi-agent evaluation.
- Maintain feedback and optimization pipelines incorporating automated metrics and human-in-the-loop signals.
- Support fine-tuned models in production with evaluation, rollback strategies, and performance monitoring.
- Collaborate with applied AI/ML teams to translate research in agentic reasoning, planning, and tool use into production-ready systems.
Education
- Pursuing a degree in Computer Science, Data Science, Statistics, Engineering, or related technical field
- Expected graduation Winter 2026 or Spring 2027
Benefits
- Competitive hourly internship pay aligned to location-based compensation zones
- Access to mentorship and learning opportunities on high-impact ML systems
- Inclusive hiring and accommodations, adherence to equal opportunity policies
- Total Rewards programs and benefits (details vary by region and entity)
Average salary estimate
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Robinhood is a leading financial services company headquartered in Menlo Park, California. The company was founded in 2013 and currently has 23.9 million funded customers, 13.7 million monthly active users, and $130 billion in assets under custody.
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