Applied Scientist II, Amazon Quick (AI)

TL;DR

Applied Scientist II (AI/ML): Developing automated reasoning features and innovative solutions using neural learning and symbolic reasoning with an accent on autonomous agents, API orchestration, and large multimodal models. Focus on implementing scalable ML models, publishing research at peer-reviewed conferences, and driving business decisions through scientific artifacts.

Location: USA, CA, Santa Clara

Salary: $171,600 - $222,200

Company

hirify.global (AWS) is the world's most comprehensive and broadly adopted cloud platform, providing scalable cloud services to startups and Global 500 companies.

What you will do

• Define and implement automated reasoning features using neural learning and symbolic/formal reasoning.
• Develop innovative solutions to hard problems and publish findings at peer-reviewed conferences and workshops.
• Apply software engineering best practices to ensure a high standard of quality for all team deliverables.
• Partner with technology and business teams to solve real-world problems.
• Work in an agile, startup-like development environment to help drive business decisions.

Requirements

• PhD, or Master's degree and 4+ years of experience in CS, CE, ML or related field.
• 3+ years of experience building models for business applications.
• Proven track record of patents or publications at top-tier peer-reviewed conferences or journals.
• Proficiency in programming with Java, C++, Python or related languages.
• Strong knowledge of algorithms, data structures, numerical optimization, or distributed computing.
• Must be located in or authorized to work in Santa Clara, CA, USA.

Nice to have

• Experience using Unix/Linux.
• Professional software development experience.

Culture & Benefits

• Comprehensive health insurance (medical, dental, vision, prescription) and 401(k) matching.
• Paid time off and parental leave.
• Flexible working culture focused on work-life harmony.
• Inclusive environment with employee-led affinity groups and diversity conferences.
• Extensive mentorship and career-advancing resources.