דרושים Applied Scientist Alexa International Tech ב-אמזון ב-India, Karnataka, Bengaluru

Key job responsibilitiesA day in the life· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.
· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.
· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing
· Contribute through industry first research to drive the innovation forward.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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

and applications, enterprise application migrations, HPC amongst many others.
A day in the life
About AWSDiverse 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.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

- 7+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience developing software code in one or more programming languages (java, python, etc.)
- Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)

- Experience implementing AWS services in a variety of distributed computing environments
- Experience in automation through devops scripting (e.g. shell, python, ruby, powershell)
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments

You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.Key job responsibilities
- Responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.- Participate in organizational planning, hiring, mentorship and leadership development.- You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
- Strong publication record in top-tier journals and conferences.
- Functional thought leader, sought after for key tech decisions.
- Can successfully sell ideas to an executive level decision maker.
- Mentors and trains the research scientist community on complex technical issues.
- Experience developing software in traditional programming languages (C++, Java, etc..).
- Excellent written and spoken communication skills

Key job responsibilities
- Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.- Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.

- PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms 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 building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in NLP, generative AI, LLM, or DL, RL.

Key job responsibilities
As an Applied Science Manager in AIT you will:
* Lead and grow a team of Applied Scientists working to develop and evolve Large Language models powering Alexa+ for international locales and languages* Drive the development of scalable multi-lingual NLP and LLM solutions and develop frameworks to evaluate various aspects of LLM performance
* Partner with engineering teams to implement production-ready scientific solutions
* Recruit, mentor, and develop top scientific talent
* Foster a culture of innovation while maintaining high scientific standards
* Review and provide guidance on experimental design, methodology, implementation and continuous improvement of science solutions
A day in the life
* Review key metrics, goals and project progress from your team
* Provide direction and guidance to your team, and unblock or coarse correct as need be, to ensure science solutions are on track and delivered with high quality.
* Actively participate and contribute to launch readiness forums, leadership reviews and technical design reviews.
* Meet with product managers to align on roadmap priorities and scientific requirements
* Provide technical mentorship to team members on their projects
* Review and give feedback on scientific documentation and methodology
* Collaborate with engineering partners on implementation approaches
* Lead team meetings focused on scientific innovation and best practices
* Contribute through industry first research to drive the innovation forward.
* Engage with the broader Amazon science community to share learnings and stay current with latest developments

- 4+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience building machine learning models or developing algorithms for business application

As a Front End Engineer, you'll be crucial in crafting exceptional user interfaces and responsive web experiences that delight millions of customers across our retail platform, with a special focus on creating visually immersive product evaluation experiences and interactive infographics for product education. In this role, you'll architect and implement sophisticated client-side applications that seamlessly integrate with AI-powered features, creating intuitive and dynamic shopping experiences. You'll develop performant, accessible, and responsive interfaces using modern JavaScript frameworks, build reusable component libraries, and implement real-time updates and interactive visualizations.Your work will center on crafting engaging features such as visually immersive product evaluation experiences, including 3D product viewers, try-on features, and interactive product customization tools. You'll also create engaging and informative infographics for product education, translating complex product details into easily digestible visual content, and develop dynamic, data-driven product comparison tools that help customers make informed decisions.

- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience using JavaScript frameworks such as angular and react

- 1+ years of agile software development methodology experience
- Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node

As a norm, Amazon SDE’s have industry-leading technical abilities. They recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. They write high quality, maintainable, and robust code, often in Java or C++. They solve problems at their root, stepping back to understand the broader context. They build flexible systems without over-engineering and choose simple, straightforward solutions over more complex ones. They understand a broad range of data structures and algorithms and know how, when and when not to use them; recognize and use design patterns to solve business problems. They understand how operating systems work, perform and scale.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

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