Machine Learning Engineering (New Graduate), AGI Autonomy

Amazon; San Francisco (CA); On-site; USD 120,000 - 230,000; Full time

Job summary

Join a leading company in AI technology as a Machine Learning Engineer for new graduates. Work directly in an innovative lab in San Francisco, focusing on combining language models with reinforcement learning. This entry-level position offers autonomy while accelerating scientific workflows and directly contributing to cutting-edge AI systems.

Qualifications

• Strong proficiency in Python is essential.
• Experience with deep learning methods and tools is required.
• Bachelor’s degree in Computer Science or a related field.

Responsibilities

• Contribute directly to AI agent development.
• Run experiments and build tools to accelerate scientific workflows.
• Scale up AI systems.

Skills

Python

Deep learning methods

Education

Bachelor’s degree in Computer Science or related technical field

Tools

PyTorch

Job description

Machine Learning Engineering (New Graduate), AGI Autonomy

Join to apply for the Machine Learning Engineering (New Graduate), AGI Autonomy role at Amazon

Machine Learning Engineering (New Graduate), AGI Autonomy

Join to apply for the Machine Learning Engineering (New Graduate), AGI Autonomy role at Amazon

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Description

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

Description

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!

Key job responsibilities

You will contribute directly to AI agent development in a research engineering role: running experiments, building tools to accelerate scientific workflows, and scaling up AI systems. You will be hired as a Member of Technical Staff.

Basic Qualifications

• Bachelor’s degree in Computer Science or related technical field
• Strong proficiency in Python
• Experience with deep learning methods and tools, e.g., PyTorch
  
  

Preferred Qualifications

• Hands-on experience in academic labs, industry internships, and/or open source development
• Demonstrated ability to own an ambiguous project end-to-end, i.e., writing code, designing experiments, and interpreting results
• Capacity to work autonomously and with a small team to drive research progress
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base pay for this position ranges from $120,000/year in our lowest geographic market up to $230,000/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. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2962344

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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