Senior Applied Scientist, Generative AI Innovation Center

Amazon; Courbevoie; Sur place; EUR 75 000 - 95 000; Plein temps

Résumé du poste

A leading technology firm is seeking an Applied Scientist to work on generative AI solutions. The role involves collaborating with scientists, interacting with customers to implement findings, and optimizing solutions using advanced model techniques. A PhD and significant experience with Python and LLMs are required. Join a culture that values diversity and encourages innovative thinking.

Prestations

Mentorship opportunities

Career growth resources

Flexible working culture

Qualifications

• PhD degree in a quantitative field plus 5 years of relevant experience.
• 5 years of experience with Python for building and evaluating models.
• Experience with Large Language Models (LLM) techniques.

Responsabilités

• Collaborate with scientists to develop generative AI solutions.
• Interact with customers to implement AI solutions.
• Optimize customer solutions using model tuning.

Connaissances

Python programming

Model optimization

Large Language Models

Data mining

Parallel computing

Formation

PhD in computer science or related field

Outils

Python libraries for AI

Description du poste

Overview

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms and find new ways of optimizing risk, profitability and customer experience.

We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize and implement state-of-the-art solutions for never-before-solved problems.

Key responsibilities

• As an Applied Scientist you will

• Collaborate with AI / ML scientists and architects to research, design, develop and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation and hardware optimization
• Provide customer and market feedback to product and engineering teams to help define product direction

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds 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 (gender 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 Earths 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.

• PhD degree in computer science, engineering, mathematics, operations research or in a highly quantitative field plus 5 years of relevant experience or Masters degree plus 10 years of relevant work experience
• 5 years of hands on experience with Python to build, train and evaluate models
• 5 years of hands on experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• 2 years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning or reinforcement learning techniques
• Scientific publication track record at top-tier AI / ML / NLP conferences or journals
• Demonstrated experience with building LLM-powered agentic workflow orchestration and agent customization
• Experience with model optimization techniques (quantization, distillation, compression, inference optimization, etc.)
• Experience with open-source frameworks for model customization like trl, verl and for building LLM-powered applications like LangChain, LlamaIndex and/or similar tools
• Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams
• Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities

Amazon est un employeur engagé pour légalité 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, dinventer, 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 for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner.

Required Experience : Senior IC

Key Skills

Laboratory Experience, Mammalian Cell Culture, Biochemistry, Assays, Protein Purification, Research Experience, Next Generation Sequencing, Research & Development, cGMP, Cell Culture, Molecular Biology, Flow Cytometry

Employment Type : Full-Time

Experience : years

Vacancy : 1