Amazon

Member of Technical Staff, Artificial General Intelligence

Amazon$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree with 1+ years in CS, CE, ML, or related field
  • Experience with neural deep learning and machine learning methods
  • 1+ years of business application model development
  • Proficiency in programming languages such as Java, C++, or Python
  • Experience with generative deep learning models like CNNs, GANs, and VAEs

Responsibilities

  • Support development of algorithms and modeling techniques for LLMs
  • Contribute to foundational model development in applied research
  • Engage in model training, dataset design, and optimization processes
  • Leverage Amazon's data and computing resources to enhance LLMs
  • Impact customers by developing products and services using GenAI technology

Benefits

  • Access to advanced computing resources and heterogeneous data sources
  • Opportunities for publishing and patenting research work
  • Collaborative environment with industry-leading experts
  • Impactful work that translates research into real-world applications
Full Job Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Member of Technical Staff with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.

Key job responsibilities

As a Member of Technical Staff with the AGI team, you will support the development of algorithms and modeling techniques, to advance the state of the art with LLMs. You will support the foundational model development in an applied research role, including model training, dataset design, and pre- and post-training optimization. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.

BASIC QUALIFICATIONS

- PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience

- Experience with neural deep learning methods and machine learning

- 1+ years of building models for business application experience

- Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

- PhD in Computer Science, Computer Engineering, Machine Learning or related field

- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)

- Experience with patents or publications at top-tier peer-reviewed conferences or journals

- Experience with popular deep learning frameworks, including PyTorch

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

About Amazon

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Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

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