Applied Scientist III (AI)

TL;DR

Applied Scientist III (AI): Building AI safety and responsible AI systems for Alexa with an accent on generative AI, large-scale model training, and algorithmic evaluation. Focus on developing sophisticated mechanisms to ensure trustworthy interactions, preventing vulnerabilities in LLMs, and architecting systems that understand nuanced human values at hirify.global's scale.

Location: Must be based in Bellevue, WA, USA

Salary: $167,100–$226,100

Company

A global technology corporation focused on e-commerce, cloud computing, and artificial intelligence.

What you will do

• Architect breakthrough Responsible AI solutions that establish industry benchmarks for safety and trust.
• Develop and train advanced models that understand nuanced human values across diverse cultures and languages.
• Design automated evaluation frameworks to detect and mitigate AI vulnerabilities in real-time.
• Collaborate with cross-functional teams of scientists, engineers, and product managers to scale research into production.
• Mentor junior scientists and provide technical leadership on AI product features and research initiatives.
• Analyze and improve system performance for large-scale distributed ML environments.

Requirements

• 3+ years of experience building machine learning models for business applications.
• PhD or Master's degree plus 6+ years of applied research experience.
• Deep expertise in computer vision, GenAI models, and neural deep learning methods.
• Proficiency in programming with Java, C++, or Python.
• Track record of building scalable ML systems across modalities like text and images.
• Work authorization in the USA required.

Nice to have

• Experience with large-scale distributed systems such as Hadoop or Spark.
• Understanding of system performance, profiling, and debugging at scale.

Culture & Benefits

• Comprehensive health insurance including medical, dental, vision, and mental health support.
• Financial security through 401(k) matching and competitive compensation packages including RSUs.
• Generous paid time off and parental leave policies.
• Commitment to an inclusive work environment with support for workplace accommodations.
• Opportunity to solve high-impact, industry-defining AI safety challenges.