Senior Machine Learning Engineer, Generative AI Innovation Center

Amazon; Courbevoie; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading technology company in France is looking for a Senior Machine Learning Engineer to innovate within its Generative AI Innovation Center. Candidates should possess over 5 years of software development experience and a strong background in machine learning. The role involves designing high-impact ML solutions and collaborating with diverse teams to meet customer needs in a dynamic environment.

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of leading design or architecture of new and existing systems.
• Experience as a mentor or lead in an engineering team.

Responsabilités

• Collaborate across diverse teams and projects.
• Design, implement, test, deploy and maintain ML solutions.
• Research implementations for optimal customer experience.

Connaissances

Software development

Machine learning

Data analysis

Problem-solving

Collaboration

Formation

Bachelor's degree in computer science

Outils

SQL

Python

Description du poste

Overview

Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GenAI 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 Senior 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\'ll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Key job responsibilities

• Our Senior ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You\'ll bring a passion for the intersection of software development with generative AI and machine learning. You\'ll 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\'ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You\'ll 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\'re 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\'t followed a traditional path, or includes alternative experiences, don\'t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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\'s 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\'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

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\'s nothing we can\'t achieve in the cloud.

Qualifications

• 5+ 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
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Bachelor\'s degree in computer science or equivalent

Additional notes

Amazon est un employeur engagé pour l\'égalité des chances. Nous sommes convaincus qu\'une main d\'œuvre diversifiée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d\'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

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.