Sr Applied Scientist, AGI Autonomy

18 hours ago


San Francisco CA United States Amazon Full time

Job ID: 2828682 | Amazon.com Services LLC

The AGI team is responsibly advancing Amazon’s generative AI technologies, including the company’s most expansive multimodal foundation models. AGI Autonomy works to augment human intelligence by creating real-world digital agents. We are looking for talented scientists to help lead our efforts in agent capabilities to delight consumer and enterprise customers with practical AI solutions.

We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive and collaborative team culture, you will thrive in this role, and we hope to hear from you.

Key job responsibilities
  1. Train state of the art multimodal models to improve agent performance on a variety of tasks
  2. Analyze model performance, identify areas for improvement, and iteratively improve the system
  3. Implement necessary pipelines, model capabilities, and tools to debug and improve model performance
  4. Manage project prioritization, deliverables, timelines, and stakeholder communication
  5. Illuminate trade-offs, educate the team on best practices, and influence technical strategy
  6. Operate in a dynamic environment to deliver high quality models and software
BASIC QUALIFICATIONS
  1. 3+ years of building machine learning models for business application experience
  2. PhD, or Master's degree and 6+ years of applied research experience
  3. Experience programming in Java, C++, Python or related language
  4. Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
  1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  2. Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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