"Alerted.org

Description

We are seeking a Software Development Engineer, Machine Learning (ML), for the Amazon Customer Service (CS) - Shipping and Delivery Support (SDS) team.

Amazon CS's SDS team provides support to drivers who deliver packages to customers on behalf of Amazon. We are seeking a passionate and talented Machine Learning Engineer (MLE) to join our team in advancing state-of-the-art Generative AI (genAI) technologies and Large Language Models (LLMs).

In this role, you will design, develop, and deploy highly scalable, resilient, and performant AI systems that benefit drivers, customer service associates, and customers. You will work closely with applied scientists and research teams to productionalize ML models, focusing on novel LLM training techniques, optimizations, and customization capabilities such as fine-tuning and distillation.

Key job responsibilities

You will build efficient data processing pipelines, develop ML model serving infrastructure for high-throughput and low-latency predictions, and implement multi-modal solutions. The ideal candidate has experience deploying ML/LLM models, large-scale data processing, and delivering high-quality AI products. This role requires exceptional technical expertise in Computer Science, along with excellent communication skills to interface with technical, science, and business stakeholders.

A day in the life

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

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

- 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.