Amazon

Member of Technical Staff - Reinforcement Learning, AGI Autonomy

Amazon$350K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree with 5+ years applied research experience.
  • 3+ years building machine learning models for business applications.
  • Proficiency in programming languages such as Java, C++, or Python.
  • Experience with neural deep learning methods and machine learning.

Responsibilities

  • Develop multimodal Large Language Models (LLMs) for automation insights.
  • Collaborate with engineers in a scrum for rapid innovation and product launch.
  • Work with cross-functional teams to solve complex GenAI problems.
  • Design experiments to evaluate algorithms and iterate for improvement.
  • Envision multi-year GenAI development opportunities.
  • Communicate results to technical and non-technical audiences through reports and presentations.
  • Mentor junior scientists and engineers to foster team growth.

Benefits

  • Comprehensive medical benefits and financial protections.
  • Equity options as part of total compensation.
  • Inclusive culture that promotes diverse perspectives.
  • Support for workplace accommodations for disabilities.
  • Opportunity to work on high-impact AI projects with real-world applications.
Full Job Description
Key job responsibilities

- 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 for millions of customers

- 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 to apply these technologies to solve real-world problems

- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports

- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

BASIC QUALIFICATIONS

- 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++, Python or related language

- Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

- -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 Tensor Flow 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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $350,000 year in our lowest geographic market up to $350,000 year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

About Amazon

Audible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.

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

Similar Jobs

More Jobs at Amazon

More Enterprise Technology Jobs

Find similar Member of Technical Staff - Reinforcement Learning, AGI Autonomy jobs: