Applied Scientist, Special Projects

Amazon; Asti; In loco; EUR 115.000 - 191.000; Tempo pieno

Descrizione del lavoro

A global tech company in Piemonte is seeking a professional to lead and execute complex ML projects that impact customer lives. The ideal candidate will have a strong background in machine learning and programming languages such as Java, C++, or Python. This role emphasizes collaboration across teams to innovate and publish findings. A commitment to diversity and career growth is essential.

Servizi

Work-life balance

Career growth opportunities

Inclusive culture

Competenze

• 1+ years of experience in building ML models for business applications.
• Experience with patents or publications at peer-reviewed conferences.
• Experience in high-performance computing.

Mansioni

• Lead complex research projects from ideation to production.
• Drive technical strategy for ML/AI initiatives.
• Collaborate to translate research into products.
• Publish research findings at conferences.
• Establish best practices for ML experimentation.

Conoscenze

Building models for business application

Programming in Java, C++, Python

Algorithms and data structures

Algorithms and numerical optimization

Parallel and distributed computing

Formazione

PhD or Master's degree in CS, CE, ML

Strumenti

Unix/Linux

Descrizione del lavoro

Job ID: 3094845 | Amazon.com Services LLC

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.

Key job responsibilities

• Lead and execute complex, ambiguous research projects from ideation to production deployment
• Drive technical strategy and roadmap decisions for ML/AI initiatives
• Collaborate cross-functionally with product, engineering, and business teams to translate research into scalable products
• Publish research findings at top-tier conferences and contribute to the broader scientific community
• Establish best practices for ML experimentation, evaluation, and deployment

Basic Qualifications

• 1+ years of building models for business application experience
• PhD, or Master’s degree and 1+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.