Machine Learning Engineer II, Special Projects

Amazon; Seattle (WA); On-site; USD 129,000 - 224,000; Full time

Job summary

Join Amazon as a Machine Learning Engineer II in Special Projects to innovate and develop new technologies that improve customer experiences. This role offers a unique opportunity to work at the intersection of technology and creativity, focusing on creating cutting-edge solutions with a committed team. Embrace a culture that values work-life balance, mentorship, and a collaborative spirit to drive impactful change.

Qualifications

• 2+ years of non-internship professional software development experience.
• Experience programming with at least one software programming language.
• 3+ years of full software development life cycle experience preferred.

Responsibilities

• Develop and maintain key platforms for LLM applications.
• Investigate design approaches and evaluate technical feasibility.
• Work closely with scientists to scale machine learning models.

Skills

Generative AI

Distributed model training

Software development

Education

Bachelor's degree in computer science or equivalent

Job description

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Description

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.

Description

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.

Key job responsibilities

• Ability to quickly learn state of the art technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.
• Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
• Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
• Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.
• Experience in distributed model training
  
  

Basic Qualifications

• 2+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
  
  

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
  
  

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

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.

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.


Company - Amazon.com Services LLC

Job ID: A2937484

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Consulting, and Engineering

• Industries

  Software Development

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