Member of Technical Staff - Reinforcement Learning, AGI Autonomy (AI)

TL;DR

Member of Technical Staff - Reinforcement Learning, AGI Autonomy (AI): Developing new foundational capabilities for useful AI agents that can take actions in digital and physical worlds with an accent on multimodal Large Language Models (LLMs) and automation agent systems. Focus on rapid invention, solving complex problems in GenAI, and evaluating performance of algorithms and models.

Location: This role is based in the Amazon AGI SF Lab. The position is open to applicants in Los Angeles County and San Francisco, United States. Compensation reflects US geographic markets.

Salary: $350,000 per year

Company

hirify.global is focused on developing new foundational capabilities for enabling useful AI agents, combining the agility of a startup with the resources of Amazon.

What you will do

• Develop multimodal Large Language Models (LLMs) to observe, model, and derive insights from manual workflows for automation.
• Work in a joint scrum with engineers for rapid invention, develop automation agent systems, and take them to launch.
• Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI.
• Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results.
• Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities.
• Communicate results and insights to both technical and non-technical audiences, including presentations and written reports.
• Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team.

Requirements

• PhD, or Master's degree and 5+ years of applied research experience.
• 3+ years of building machine learning models for business application experience.
• Experience programming in Java, C++, or Python or related language.
• Experience with neural deep learning methods and machine learning.

Nice to have

• PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning.
• Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback.
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills, with the ability to think creatively and critically about complex problems.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Experience with patents or publications at top-tier peer-reviewed conferences or journals.

Culture & Benefits

• The AGI SF Lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus.
• The philosophy combines the agility of a startup with the resources of Amazon, keeping the team lean.
• Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
• Amazon is a total compensation company, offering a full range of medical, financial, and other benefits.
• The inclusive culture empowers Amazonians to deliver the best results for customers.