Machine Learning Engineer, FAI

Amazon.com Inc.; Sunnyvale (CA); On-site; USD 165,000 - 224,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Inc. is seeking a Machine Learning Engineer for the Foundational AI (FAI) team in Sunnyvale, CA, to build GenAI technology using large language models and deep learning.

You will develop RL gyms and contribute to frontier model advancement within an applied research setting. You will work with heterogeneous data and massive compute resources to accelerate LLM progress and deliver customer-facing GenAI products and services.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience for systems.
• 1+ years of designing and developing large-scale distributed software using C#, C++, Java, or Perl.
• 1+ years of Object Oriented Design experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field.
• Experience programming with at least one software programming language.

Responsibilities

• Support development of RL Gyms and assess usefulness for frontier model advancement.
• Contribute to foundational model development in an applied research role for GenAI products and services.
• Leverage large-scale data sources and computing resources to accelerate LLM advances.

Skills

C#

C++

Java

Perl

Education

Bachelor's degree in CS/Engineering/Math

Bachelor's degree in computer science or equivalent

Tools

C#, C++, Java, Perl

Job description

Job ID: 10595528 | Amazon.com Services LLC

The Foundational AI (FAI) team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs).

Key job responsibilities

• As a Machine Learning Engineer with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to advance the state of the art with LLMs.
• You will support the foundational model development in an applied research role. Your work will directly impact our customers in the form of products and services that make use of GenAI technology.
• You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.

About the team

The FAI team has a mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers.

Basic Qualifications

• - 3+ 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
• - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• - 1+ years of Object Oriented Design experience
• - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• - 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.

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.

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 salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.