This job is with Amazon, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Description
Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI (https://press.aboutamazon.com/2023/6/aws-announces-generative-ai-innovation-center). Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation Center to explore developing generative solutions.
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.
As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen AI based solutions to solve real-world problems. You&aposll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Key job responsibilities
Our ML Engineers Collaborate Across Diverse Teams, Projects, And Environments To Have a Firsthand Impact On Our Global Customer Base. You&aposll Bring a Passion For The Intersection Of Software Development With Generative AI And Machine Learning. You&aposll Also
- Solve complex technical problems, often ones not solved before, at every layer of the stack.
- Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
- Build high-quality, highly available, always-on products.
- Research implementations that deliver the best possible experiences for customers.
A day in the life
As You Design And Code Solutions To Help Our Team Drive Efficiencies In ML Architecture, You&aposll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You&aposll Also
- Build high-impact ML solutions to deliver to our large customer base.
- Participate in design discussions, code review, and communicate with internal and external stakeholders.
- Work cross-functionally to help drive business solutions with your technical input.
- Work in a startup-like development environment, where you&aposre always working on the most important stuff.
About The Team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&apost followed a traditional path, or includes alternative experiences, don&apost let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world&aposs most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that&aposs why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it&aposs in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We&aposre continuously raising our performance bar as we strive to become Earth&aposs Best Employer. That&aposs why you&aposll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&aposs nothing we can&apost achieve in the cloud.
Basic Qualifications
- 8+ 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
- Experience building complex software systems that have been successfully delivered to customers
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor&aposs degree in computer science or equivalent
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&aposre applying in isn&apost listed, please contact your Recruiting Partner.
