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Machine Learning Engineering (New Graduate), AGI AutonomyAmazon • United States
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Machine Learning Engineering (New Graduate), AGI Autonomy

Amazon
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  • US
    United States
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  • US
    United States
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Über

Machine Learning Engineering (New Graduate), AGI AutonomyJoin to apply for the Machine Learning Engineering (New Graduate), AGI Autonomy role at AmazonMachine Learning Engineering (New Graduate), AGI AutonomyJoin to apply for the Machine Learning Engineering (New Graduate), AGI Autonomy role at AmazonGet AI-powered advice on this job and more exclusive features.DescriptionAmazon 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).DescriptionAmazon 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 responsibilitiesYou 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 QualificationsBachelor’s degree in Computer Science or related technical fieldStrong proficiency in PythonExperience with deep learning methods and tools, e.g., PyTorchPreferred QualificationsHands-on experience in academic labs, industry internships, and/or open source developmentDemonstrated ability to own an ambiguous project end-to-end, i.e., writing code, designing experiments, and interpreting resultsCapacity to work autonomously and with a small team to drive research progressAmazon 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 LLCJob ID: A2962344Seniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionResearch, Science, and EngineeringIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Amazon by 2xSign in to set job alerts for “Machine Learning Specialist” roles.San Francisco, CA $130,000.00-$230,000.00 6 months agoMachine Learning Scientist, NLP (All Levels)San Francisco, CA $200,000.00-$300,000.00 4 months agoPerception Software or Machine Learning EngineerResearch Engineer - Machine Learning (ML)Machine Learning Scientist, NLP (All Levels)San Francisco, CA $200,000.00-$300,000.00 4 months agoSan Francisco, CA $140,000.00-$160,000.00 4 months agoSan Francisco, CA $140,000.00-$160,000.00 5 months agoSan Francisco, CA $100,000.00-$180,000.00 1 year agoSan Francisco, CA $140,000.00-$180,000.00 5 months agoSan Francisco, CA $140,670.00-$195,400.00 1 day agoSan Francisco, CA $100,000.00-$300,000.00 4 weeks agoSan Francisco, CA $120,000.00-$180,000.00 5 months agoMachine Learning Engineer (I, II, or Sr.)San Francisco, CA $140,000.00-$200,000.00 2 weeks agoSan Mateo, CA $140,000.00-$210,000.00 1 month agoSan Francisco, CA $175,000.00-$250,000.00 2 weeks agoSan Francisco, CA $88,000.00-$140,000.00 1 month agoSan Mateo, CA $195,000.00-$255,000.00 7 months agoSan Francisco, CA $140,000.00-$290,000.00 7 months agoSan Francisco, CA $115,000.00-$185,000.00 22 hours agoMachine Learning Engineer (I, II, or Sr.)AI/ML Engineer (Founding Technical Team)San Francisco, CA $145,000.00-$175,000.00 1 month agoSan Francisco, CA $190,000.00-$355,000.00 3 weeks agoMachine Learning Engineer, GenAI Applied MLSan Francisco, CA $176,000.00-$220,000.00 1 month agoSan Francisco, CA $150,000.00-$250,000.00 1 month agoSan Francisco, CA $100,000.00-$300,000.00 6 days agoSan Francisco, CA $180,000.00-$270,000.00 3 months agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Wünschenswerte Fähigkeiten

  • Deep Learning
  • PyTorch
  • Python
  • United States

Berufserfahrung

  • Machine Learning

Sprachkenntnisse

  • English
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