- Bachelor's degree in computer science or equivalent
- 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
- Experience in Machine Learning, data mining, information retrieval, statistics or AI
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
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.
- 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,
- Mentor other engineers, especially on AI/ML initiatives, and foster a culture of learning & collaboration.
Seattle, WA, USA
- Graduate degree in Computer Science or related field (MS or Ph.D.)
- 3+ years of hands-on experience in building scalable ML infrastructure.
- 3+ years of experience in ML inference pipeline, Model performance optimization, Model quality monitoring etc.
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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.