Software Development Engineer - Machine Learning

- 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
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 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.
Amazon.com is broadly recognized as a leader in providing exceptional Customer Service both in the US and globally. At Amazon, we are driven by innovation and customer obsession, which is deeply ingrained in everything we do, especially in the Customer Engagement Technology (CET) department. Leveraging conversational AI and machine learning technology, we strive to predict and resolve customer issues through self-service and automation solutions.

The Customer Self-Service and Automation team is seeking talented Software Developers who are passionate about applying Machine Learning and state-of-the-art Large Language Models (LLMs) to resolve customers day-to-day issues.

• Build and maintain the inference infrastructure for Amazon's conversational AI customer service chatbots, leveraging large language models (LLMs).
• Develop and own the deployment pipelines for integrating and deploying LLM models into production environments, including rigorous testing and validation stages.
• Design and implement the ML inference service that orchestrates the interaction between multiple models, such as issue prediction, item recommendation, and response generation, to provide coherent and contextual responses.
• Integrate with various cross-team services to enable retrieval-augmented generation (RAG) systems, combining language models with external knowledge sources and actuation capabilities to deliver informational and action-oriented responses.
• Enhance observability and logging mechanisms to proactively identify and troubleshoot issues, and maintain dialogue state for offline training and model improvement.
• Collaborate closely with Product Managers, UX designers, Applied Scientists, and experienced Software Development Engineers to effectively apply machine learning models and deliver high-quality conversational AI experiences.
• Expertise in designing and implementing real-time inference services for large-scale conversational AI systems, with a focus on optimizing model performance for low latency and high transactions per second (TPS) in a customer service context.
• Strong understanding of LLM (Large Language Model) domain, including experience with model compression techniques, quantization, and efficient serving strategies for conversational AI applications. Ability to balance model accuracy with performance constraints in production environments.


Key job responsibilities
As a key member of the engineering team, you will have influence on our product strategy by helping define the product features, refine system architecture, and follow best practices that enable a quality product. You will be successfully setting the foundation for the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.

You should enjoy working on complex system software, is customer- centric, and feels strongly about building good software as well as making that software achieve its operational goals.


A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.

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!

Benefits Summary:
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

About the team
Join our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.