Machine Learning Engineer Intern - Research
United StatesInternshipEntry
Salary30 USD per hour
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Job Details
- Experience
- 3–4 years of relevant experience preferred
- Required Skills
- PythonMachine LearningMLOps
Requirements
- 3–4 years of relevant experience preferred through research labs, internships, startups, open-source work, or production ML systems
- Strong software engineering ability and strong comfort writing production-quality code
- Strong Python skills preferred
- Experience with machine learning experimentation, evaluation, and debugging preferred
- Experience with LLMs, retrieval systems, vector search, ranking, prompt/tool workflows, or agent-style systems preferred
- Experience with MLOps practices such as experiment tracking, versioning, model testing, deployment, and monitoring preferred
- Comfort with statistics, error analysis, benchmarking, and translating ambiguous research ideas into shippable systems
- Strong communication and the ability to document tradeoffs, assumptions, and results
Responsibilities
- Design and run experiments across areas such as retrieval, ranking, context construction, tool use, grounded generation, model evaluation, anomaly detection, forecasting, or optimization workflows
- Improve the quality, reliability, latency, and observability of ML and LLM-driven features
- Build reproducible evaluation workflows for model behavior, answer quality, grounding, failure analysis, and regression testing
- Help productionize research work through pipelines, APIs, services, monitoring, versioning, and deployment workflows
- Improve MLOps practices around experiment tracking, prompt/model versioning, dataset versioning, testing, rollout safety, and post-deployment monitoring
- Collaborate closely with software and platform engineers to ship ML systems that are useful, measurable, and production-ready
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