Ai Foundations Software Engineer Research Internship

TL;DR

Ai Foundations Software Engineer Research Internship: Contribute to pioneering AI research and development of scalable infrastructure for cutting-edge AI models including multi-modal and multi-lingual systems with an accent on novel algorithms, generative computing, and responsible AI innovation. Focus on designing, prototyping, and validating new AI algorithms and building high-performance reusable code within distributed frameworks.

Location: Onsite in Yorktown Heights, San Jose, Cambridge, or Albany, United States

Salary: $78,624–$144,144 per year

Company

hirify.global Research is a leading innovation engine focused on advancing computing technologies including AI, quantum computing, and hybrid cloud solutions.

What you will do

• Engage in full AI research lifecycle from concept to implementation and experimentation.
• Develop scalable, robust infrastructure for AI research projects.
• Collaborate in expert teams to transform novel AI algorithms into high-performance code.
• Contribute to open innovation initiatives including hirify.global's Granite open-source models.
• Explore cutting-edge areas such as generative AI, multi-modal and multi-lingual systems.

Requirements

• Location: Must be onsite in the United States (Yorktown Heights, San Jose, Cambridge, or Albany)
• English: Proficient communication skills required (B2 level or higher)
• Foundational knowledge of machine learning, transformers, and large language models.
• Programming proficiency in Python for development and prototyping.
• Strong analytical and problem-solving skills.
• Commitment to building high-quality, well-tested code and collaborative teamwork.

Nice to have

• Experience with ML frameworks such as PyTorch.
• Hands-on experience with generative AI and multimodal models.
• Ability to present complex research and build impactful technical demonstrations.

Culture & Benefits

• Paid holidays and sick leave.
• Employee Stock Purchase Plan and paid family medical leave.
• Supportive environment encouraging learning, experimentation, and career growth.
• Commitment to diversity, equity, and inclusion.

Hiring process

• Evaluation of technical skills and research potential.
• Interviews focusing on problem-solving and communication.
• Assessment of cultural fit and learning mindset.