המקום בו המומחים והחברות הטובות ביותר נפגשים
Using your in-depth expertise in machine learning and generative AI and software engineering, you will take the lead on tactical and strategic initiatives to deliver reusable science components and services that differentiate our industry products and solve customer problems. You will be the voice of scientific rigor, delivery, and innovation as you work with our segment teams on AI-driven product differentiators. You will conduct and advance research in AI and generative AI within and outside Amazon.Extensive knowledge of both state-of-the-art and emerging AI methods and technologies is expected. Hands-on knowledge of generative AI, foundation models and commitment to learn and grow in this field are expected. Prior research or industry experience in Sustainability would be a plus.
Work/Life Balance
Mentorship & Career GrowthDiverse 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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
Hybrid Work
- Master's degree, or PhD
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- PhD
- 2+ years of building machine learning models for business application experience
משרות נוספות שיכולות לעניין אותך