Applied Scientist II, Industry Solutions
2 weeks ago
AWS Industry Products (AIP) is a pioneering engineering division within AWS, dedicated to creating innovative AWS offerings by leveraging Amazon's unique innovation frameworks alongside cutting-edge digital technologies. Our mission is to revolutionize industries by addressing the challenges that hinder their progress, empowering them to embrace new digital business paradigms.
We are in search of Applied Scientists who are enthusiastic about reshaping industries through the power of AI. This role presents a distinctive chance to engage with industry clients while cultivating expertise in AI and generative AI across various core sectors. You will collaborate with a diverse team of scientists, product managers, and software engineers focused on developing AI solutions in fields such as automotive, manufacturing, healthcare, sustainability/clean energy, and supply chain/operations. A significant aspect of your role will involve harnessing and enhancing generative AI technologies to tackle industry-specific challenges.
Utilizing your extensive knowledge in machine learning, generative AI, and software engineering, you will spearhead both tactical and strategic projects aimed at delivering reusable scientific components and services that set our industry products apart and effectively address customer needs. You will embody scientific rigor, innovation, and delivery as you collaborate with our segment teams on AI-driven product differentiators. Additionally, you will engage in and advance research in AI and generative AI both within Amazon and in the broader scientific community.
A profound understanding of both cutting-edge and emerging AI methodologies and technologies is essential. Practical experience with generative AI, foundational models, and a commitment to continuous learning in this domain are expected. Previous research or industry experience in sustainability is considered advantageous.
Inclusive Team Culture
At AWS, we celebrate our diversity and are committed to fostering an inclusive culture. We support ten employee-led affinity groups, engaging 40,000 employees across more than 190 chapters globally. Our innovative benefits and ongoing learning opportunities, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, reflect our dedication to inclusion.
Work/Life Balance
Our team prioritizes a healthy work-life balance. We believe that success is not measured by hours spent at work or home, but by the energy and flow you create in both areas of your life. We encourage flexibility in working hours to help you achieve a harmonious balance between your professional and personal commitments.
Mentorship & Career Growth
We are committed to supporting the development of new team members. Our team comprises a diverse mix of experience levels and tenures, fostering an environment that values knowledge sharing and mentorship. Senior members provide one-on-one mentoring and constructive code reviews. We are invested in your career advancement and strive to assign projects that will enhance your skills and prepare you for more complex responsibilities in the future.
Basic Qualifications
- Master's degree or PhD
- Proficiency in programming languages such as C/C++, Python, Java, or Perl
Preferred Qualifications
- PhD
- Over 2 years of experience in developing machine learning models for business applications
Amazon is dedicated to creating a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. For individuals with disabilities who require accommodations, please reach out for assistance.
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