AI Researcher (PhD)

TL;DR

AI Researcher (PhD): Developing advanced AI and ML technologies including Large Language Models, Generative AI, and Conversational Agents with an accent on system and model architecture design, experimentation, and AI optimization. Focus on solving complex real-world problems and driving impactful AI solutions for enterprise products.

Location: Remote with preference for Seattle or Pacific Standard Timezone

Salary: $175,500 - $229,125 (depending on geographic pay zone)

Company

hirify.global develops software products that enhance team collaboration globally, focusing on innovative AI/ML solutions to improve productivity.

What you will do

• Design system and model architectures for AI/ML applications
• Conduct rigorous experimentation and model evaluations
• Apply AI/ML techniques to improve hirify.global products
• Contribute to hirify.global Intelligence features development
• Collaborate within a cutting-edge Machine Learning Research team

Requirements

• Must be enrolled full-time in a PhD program and graduate by June 2026
• Must be able to obtain and maintain work authorization in the country of employment
• Bachelor's degree or higher in Computer Science or related field
• Strong foundation in AI/ML, LLMs, and optimization techniques
• Experience with research, publishing, and scaling ML models with large data
• Agile development mindset with iterative improvement approach

Nice to have

• Proficiency in Python and data libraries (NumPy, Pandas, Matplotlib)
• Experience with Hugging Face models and deep learning frameworks like PyTorch
• Exposure to NLP, Computer Vision, Reinforcement Learning, and AI Optimization
• Publications in top-tier AI conferences or journals
• Ability to solve ambiguous and complex problems innovatively

Culture & Benefits

• Equitable and competitive compensation programs with geographic pay zones
• Health and wellbeing resources and paid volunteer days
• Supportive environment with accommodations during recruitment
• Focus on diversity, equity, and inclusion

Hiring process

• Technical evaluation and interviews
• Assessment of research and problem-solving skills
• Discussions on cultural fit and team collaboration