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