AI Engineer Intern

Jobright.ai; United States; Remote; USD 28,000 - 41,000; Full time

Job summary

Jobright is seeking a Remote AI Engineer Intern to help develop and evaluate AI systems that make job discovery more relevant, personalized, and effective. You will build and assess LLM- and ML-powered features, design data pipelines, and explore prompting, embeddings, and model evaluation in a distributed team.

The role emphasizes collaboration in a remote setting, independence, and hands-on experimentation with AI agents used by real users.

Qualifications

• Currently pursuing a degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Understanding of machine learning, NLP, or information retrieval fundamentals.
• Familiarity with APIs, data processing, and software development practices.
• Ability to work independently and collaborate effectively in a remote environment.

Responsibilities

• Build and evaluate LLM- and machine-learning-powered product features.
• Develop data pipelines and integrations for AI systems.
• Experiment with prompting, retrieval, ranking, embeddings, and model evaluation.
• Improve the quality, latency, reliability, and cost of AI-powered experiences.
• Create evaluation datasets and investigate model behavior.
• Document experiments and communicate technical findings in a distributed environment.

Job description

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a Remote AI Engineer Intern, you will help develop and evaluate AI systems that make job discovery more relevant, personalized, and effective.

Why Join Us

• Build real, production AI agents used by real users
• High ownership and impact
• Work at the intersection of AI, agents, and product
• Shape how people experience AI-driven job search

Responsibilities

• Build and evaluate LLM- and machine-learning-powered product features
• Develop data pipelines and integrations for AI systems
• Experiment with prompting, retrieval, ranking, embeddings, and model evaluation
• Improve the quality, latency, reliability, and cost of AI-powered experiences
• Create evaluation datasets and investigate model behavior
• Document experiments and communicate technical findings in a distributed environment

Qualification

Required

• Currently pursuing a degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• Understanding of machine learning, NLP, or information retrieval fundamentals
• Familiarity with APIs, data processing, and software development practices
• Ability to work independently and collaborate effectively in a remote environment

Preferred

• Experience with LLM applications, RAG, embeddings, or model evaluation
• Familiarity with PyTorch, TensorFlow, scikit-learn, or cloud AI services
• Experience building end-to-end AI prototypes
• Knowledge of recommendation systems, search, or ranking
• Previous AI research, internship, or substantial personal project experience