Sr. Machine Learning Engineer, Amazon

• Bachelor's degree in computer science or equivalent
• 5+ years of non-internship, professional software development experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 5+ years of collaborating with, and influencing applied scientists and the broader science community within an organization
• Experience as a mentor, tech lead or leading an engineering team

Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented AI and Machine Learning (ML) engineer with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on cutting-edge projects that directly impact millions of customers, selling partners, and employees every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others.
The types of initiatives you can expect to work on include:

• Developing personalized recommendation systems that help customers find the right CE products for their needs.
• Creating high quality educational content leveraging complex AI techniques to simplify complex product information.
• Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scale
• Building AI Assistant tools that have cross-Amazon user adoption, with the potential to transform how employees across the company work

This Sr. ML engineer is also expected to play a key role in raising the AI/ML skillset within the organization, so a passion for teaching/mentoring is important. This involves bringing deep AI/ML expertise to collaborations with other engineers, leading lunch & learn session, conducting tech talks, setting up regular office hours, evangelizing lessons learned & industry best practices, and more. The ideal candidate is one who possesses notable pedigree in ML-related academic work, along with deep, real-world, hands-on experience in executing/shipping AI-based products in a fast-paced setting. You will be looked up to as an ML expert that our organization’s leadership can rely on for guidance on AI/ML topics.
Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels, functions and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Key job responsibilities

• Design, implement, and productionalize AI/ML products at Amazon scale, in collaboration with other applied scientists and engineers, both within Consumer Electronics and more broadly across the Stores organization,
• Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure,
• Leverage AWS AI services and other internal / publicly available external tools & services to accelerate our AI investments in CE Tech,
• Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement,
• Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency,
• Share expert knowledge in performance, large scale distributed system scalability, system architecture, and engineering best practices,
• Mentor other engineers, especially on AI/ML initiatives, and foster a culture of learning & collaboration. Provide thought leadership and hands-on support in selecting, defining, training and fine-tuning Large Language Models (LLMs), prompt engineering, and other GenAI efforts.

We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA

• Graduate degree in Computer Science or related field (MS or Ph.D.)
• 5+ years of hands-on experience in building scalable ML infrastructure.
• 5+ years of experience in ML inference pipeline, Model performance optimization, and Model quality monitoring.
• 5+ years of experience with end-to-end software development and life cycle of Machine Learning solutions.
• Excellence in technical communication with scientists and engineers
• Experience synthesizing and presenting technical concepts to Tech Director-level leadership
• Track record of implementing AWS services in a variety of business such as large enterprises and start-ups

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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/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.

Health insurance, Lunch & learns