Engineer Intern, Genai Research (Summer Internship)

TL;DR

Engineer Intern, GenAI Research (AI): Designing and implementing research and engineering workflows to strengthen model performance, create new benchmarks, and improve production models. Focus on retraining, hyperparameter search, and experimentation workflows to increase model quality and reliability.

Location: Remote US

Company

hirify.global specializes in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition.

What you will do

• Design and implement a lightweight supervised fine tuning training pipeline using open source LLMs.
• Create new benchmarks to evaluate frontier models across defined scientific and performance criteria.
• Improve model performance through targeted retraining and hyperparameter search.
• Build Python tooling to automate training, evaluation, benchmarking, and experimentation workflows.
• Document experimental design, benchmark methodology, and performance results with clarity and precision.

Requirements

• Current enrollment in or recent completion of a Master’s or PhD in Computer Science, AI, Machine Learning, Computer Engineering, or a closely related technical field.
• Strong experience working with large language models, including supervised fine tuning, prompt engineering, or model evaluation.
• Hands on experience building machine learning pipelines or research infrastructure.
• Proficiency in Python and comfort working with machine learning frameworks and open source model ecosystems.
• Familiarity with cloud environments such as AWS or Azure.
• Strong written communication skills for summarising research and drafting technical documentation.

Culture & Benefits

• Foster a culture of innovation, collaboration, and excellence.
• Value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.
• Work on complex challenges that shape the future of AI across industries and geographies.
• Have the flexibility to deliver in a way that works for you and your team, supported by tools, resources and development opportunities to continue to build your capability over time.