דרושים Applied Scientist Internship ב-אמזון ב-Spain, Madrid

Key job responsibilities
In this role you will:- Stay up-to-date with the latest technologies and adopt the most appropriate long-term solution to a variety of use cases.A day in the life
On a typical day you will:
- run experiments. Depending on the stage or project, this may involve designing the experiments, collecting data, training models, prompt/spec engineering/optimization, error analysis, online system analysis, etc.
- help drive decisions by interpreting and communicating experimental results with stakeholders (managers, subject matter experts, other scientists, and engineers) and seeking/listening to their feedback.Additionally, you'll attend and contribute to regular meetings, activities and conferences with the wider science team, organization as well as internal and external communities.

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience programming in Java, C++, Python or related language
- Experience in building models for business application
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
- Strong sense of ownership and drive
- Strong communication skills
- 1+ years of industry experience working in a fast-paced environment

- PhD
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in professional software development
- Experience building AI solutions for business applications in multiple areas such as: search, NLP, data quality, recommender systems.
- Experience with in one or more of: Generative AI, LLM-as-judge, prompt optimization, agentic workflows, LLM interpretability.

Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.Please note these are not remote internships.

- Experience programming in Java, C++, Python or related language
- Speak, write, and read fluently in English
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields

As an Applied Scientist you will contribute to the design, development and improvement of AI/ML models and systems for different products. In this role, you will be expected to:
- Work with Applied Scientists, Data Scientists, ML Engineers and product partners to design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- 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

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

Key job responsibilities
Key job responsibilities
* Design and implement scalable systems for formal reasoning and automated theorem proving.
* Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.
* Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.
* Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.A day in the life

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- 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

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

Key job responsibilities
We look for applied scientists who possess a wide variety of skills. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems and to improve catalog data quality, to name just a few. You will work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will be part of team of 5 scientists and 13 engineers working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team, setting the standards for scientific excellence. You will be working with state-of-the-art models, including image to text, LLMs and GenAI.
This position will be based in Madrid, Spain

- Experience building machine learning models or developing algorithms for business application
- PhD, or Master's degree
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow

Key job responsibilities

- PhD
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience building machine learning models or developing algorithms for business application
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow

As an Applied Scientist you will contribute to the design, development and improvement of AI/ML models and systems for different products. In this role, you will be expected to:
- Work with Applied Scientists, Data Scientists, ML Engineers and product partners to design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- 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

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