Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Develop and deploy cutting-edge AI-driven development tools and large language models specialized in code intelligence at hirify.global AWS. With an accent on reinforcement learning, post-training methodologies, and generative AI technologies. Focus on inventing state-of-the-art machine learning solutions, publishing research, and transitioning breakthroughs into production systems impacting millions of developers.

Location: Hybrid work model based in Santa Clara, USA, with options to work in the office or remotely near U.S. hirify.global offices. Must be located in the United States.

Salary: $150,400–$260,000 per year depending on geographic market and experience.

Company

hirify.global Web Services (AWS) is a leading cloud platform pioneering AI-driven development tools and services, trusted by startups and Global 500 companies worldwide.

What you will do

• Push boundaries of reinforcement learning and post-training methods for large language models focused on code intelligence.
• Invent and implement state-of-the-art machine learning solutions at hirify.global scale.
• Deploy revolutionary AI products impacting millions of developers globally.
• Publish and present research at top ML and NLP conferences.
• Collaborate directly with customers to transition research into production systems.

Requirements

• Location: Must be based in the United States.
• 3+ years building machine learning models for business applications.
• PhD or Master's degree with 6+ years applied research experience.
• Proficiency in Java, C++, Python, or related languages.
• Experience with neural deep learning and machine learning methods.

Nice to have

• First author publications at Tier-1 ML conferences.

Culture & Benefits

• Inclusive team culture fostering diversity and continuous learning.
• Mentorship and career growth opportunities.
• Work-life balance with flexible hybrid work options.
• Comprehensive benefits including medical, financial, and equity compensation.

Hiring process

• Application via hirify.global career site.
• Evaluation of technical skills and research experience.
• Consideration of cultural fit and collaboration skills.