Machine Learning Engineer, AGIF
Job Description
The Artificial General Intelligence (AGI) team is building industry-leading multimodal systems that will transform how customers interact with AI. We are seeking an SDE II with machine learning expertise to build and scale the data foundation that powers our multimodal Large Language Models (LLMs).In this role, you will develop the data strategies, infrastructure and systems that directly impact millions of customers through products leveraging vision and language technology. You will work with Amazon’s heterogeneous data sources and large-scale computing resources to accelerate multimodal LLM development and advance Generative AI capabilities like image and video generationKey job responsibilities- Design and build scalable data pipelines and infrastructure for multimodal LLM training- Define and implement strategies for data enrichment, synthesis, and ablation testing- Drive system architecture decisions and establish engineering best practices- Partner with ML scientists to advance state-of-the-art multimodal capabilities- Own the technical roadmap for data foundation systems that enable high-quality model developmentAbout the teamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.
Locations
- United States, CA, Sunnyvale, Sunnyvale, CA, United States
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of non-internship professional software development experienceintermediate
- - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceintermediate
- - Experience programming with at least one software programming languageintermediate
- - Experience designing and building scalable data pipelines and infrastructure for multimodal LLM trainingintermediate
Required Qualifications
- - 3+ years of non-internship professional software development experience (experience, 3 years)
- - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 2 years)
- - Experience programming with at least one software programming language (experience)
- - Experience designing and building scalable data pipelines and infrastructure for multimodal LLM training (experience)
Preferred Qualifications
- - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience (experience, 3 years)
- - Bachelor's degree in computer science or equivalent (degree in computer science or equivalent)
- 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. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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. (experience)
Responsibilities
- - Design and build scalable data pipelines and infrastructure for multimodal LLM training
- - Define and implement strategies for data enrichment, synthesis, and ablation testing
- - Drive system architecture decisions and establish engineering best practices
- - Partner with ML scientists to advance state-of-the-art multimodal capabilities
- - Own the technical roadmap for data foundation systems that enable high-quality model development
- About the team
- We are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.
