Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Developing foundational AI services and next-generation models for intelligent automation with an accent on autonomous agents, API orchestration, and reinforcement learning. Focus on building innovative solutions to complex problems, leveraging large-scale datasets, and publishing research in peer-reviewed conferences.

Location: USA, Santa Clara, CA (Compensation based on US geographic market location).

Salary: $150,400–$260,000 per year.

Company

hirify.global Web Services is a global leader in cloud computing, providing robust infrastructure and AI services to startups and Fortune 500 companies alike.

What you will do

• Develop innovative machine learning solutions to solve complex real-world customer problems.
• Collaborate with cross-functional business and technology teams to drive AI innovation.
• Build and deploy foundational models focusing on autonomous agents, planning, and multimodal architectures.
• Utilize massive datasets and computational resources to train and optimize advanced AI systems.
• Publish findings and research in recognized peer-reviewed conferences and workshops.
• Work backwards from customer needs to shape the future of cloud-based AI.

Requirements

• PhD or Master's degree in a quantitative field.
• 3+ years of experience building machine learning models for business applications.
• 6+ years of applied research experience (for Master's degree holders).
• Proficiency in programming languages: Python, Java, or C++.
• Deep understanding of neural networks and modern machine learning methods.
• Must be authorized to work in the United States.

Nice to have

• Experience with modeling tools like Scikit-learn, MxNet, TensorFlow, or Spark MLLib.
• Knowledge of large-scale distributed systems such as Hadoop or Spark.
• Expertise in vision-language models and sequential decision-making.

Culture & Benefits

• Comprehensive medical, financial, and insurance benefits.
• Opportunities for mentorship, knowledge sharing, and structured career advancement.
• Commitment to inclusive team culture through affinity groups and inclusion events.
• Emphasis on work-life harmony and professional flexibility.
• Access to world-class computational resources and engineering expertise.