Machine Learning Research Intern (AI)

Location: New York, NY or San Francisco, CA; available for a Summer 2027 internship with a May or June start.

Base salary: $120,000–$150,000 USD annually for full-time positions in San Francisco and New York; compensation may also include equity and benefits.

Company

hirify.global develops reliable AI systems, high-quality training data, and full-stack technologies for enterprises, governments, and leading AI models.

What you will do

• Measure dangerous capabilities of frontier models and conduct preparedness research.
• Research benchmarks, model generalization, evaluation science, safety, and alignment.
• Develop training, reinforcement learning, post-training, scalable oversight, synthetic-data, and hybrid human-machine methods.
• Improve production models through retraining and hyperparameter searches while preserving core model characteristics.
• Create post-training and agentic solutions for enterprise and public-sector applications.
• Collaborate with researchers and teams across industry and academia, owning published or shipped work.

Requirements

• Currently enrolled in a BS, MS, or PhD program focused on Machine Learning, Deep Learning, or Natural Language Processing, with graduation in Fall 2027 or Spring 2028.
• Available for a Summer 2027 internship in San Francisco or New York, with a May or June start date.
• Prior research experience or a publication track record in LLMs, NLP, multimodal models, agents, safety, evaluation, alignment, or a related field.
• Experience with one or more general-purpose programming languages, including Python, JavaScript, or similar.

Nice to have

• Previous internship experience in Machine Learning, Deep Learning, Natural Language Processing, Adversarial Robustness, Alignment, Evaluation, or Agents.
• Research experience through internships, full-time roles, or work at a laboratory.
• Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, or AAAI, or contributions to open-source projects.
• Hands-on experience with reinforcement learning, agentic systems, or evaluation infrastructure.

Culture & Benefits

• Work emphasizes customer impact, cross-team collaboration, consistent quality, focused execution, frontier research, and long-term planning.
• Eligible roles include comprehensive health, dental, and vision coverage; retirement benefits; a learning and development stipend; and generous paid time off.
• The role may include a commuter stipend and equity-based compensation, subject to eligibility and approval.
• hirify.global provides reasonable accommodations and maintains an inclusive equal-opportunity workplace.

Hiring process

• Salary and level are determined during the interview process based on location, skills, experience, qualifications, interview performance, and education or training.
• Candidates must wait 90 days before being reconsidered for the same role.