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• PhD in Machine Learning, Computer Science, Statistics or highly related field (Physics, Math)• 7+ years of applied ML experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers• Hands-on experience with designing and prototyping AI solutions for real world applications.• Expert knowledge of machine learning algorithms and techniques• Experience with large-scale data processing and storage systems• Strong business acumen, proven track record in performing high-quality analysis of data at scale• Ability to communicate complex technical concepts and solutions to all levels of the organization
• Experience with Flow Matching and Diffusion Models in the context of multi-modal architectures• Experience building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search• Experience with natural language processing and generative model architectures• Demonstrated track record of innovative AI solution development• Research publications or patents in generative AI technologies• Track record of mentoring scientistsAmazon est un employeur garantissant l'égalité des chances et ne fait aucune discrimination sur la base du statut d'ancien combattant protégé, d'un handicap ou de tout autre statut protégé par la loi.Notre culture inclusive permet aux Amazoniens d'offrir les meilleurs résultats à nos clients. Si vous avez un handicap et que vous avez besoin de mesures d'adaptation ou d'adaptation en milieu de travail pendant le processus de candidature et d'embauche, y compris du soutien pour l'entrevue ou le processus d'intégration, veuillez visiter pour plus d'informations. Si le pays ou la région dans lequel vous postulez ne figure pas dans la liste, veuillez communiquer avec votre partenaire de recrutement.
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Key job responsibilities
As a Sr. Applied Science Manager, you will:* Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.* Define and deliver the science and engineering roadmap for shopping session understanding, translating business goals into agentic strategies and driving integration of Session Agent capabilities into advertising applications.* Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.* Stay current on research advances, industry trends, and system architectures relevant to agentic AI and session understanding for SPB’s advertising business.
* M.S. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline* Experience in managing a team of both applied scientists and engineers as a tech lead or manager for at least 3 years* Experience in building large-scale machine learning and AI solutions at Internet scale for at least 3 years
* Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.* Experience developing and deploying Agentic AI or Generative AI (GenAI) solutions* The ability to communicate complex technical concepts and solutions to all levels of the organization* Experience in computational advertising
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You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.At AWS, we're revolutionizing the design of critical communications pathways, spaces, and cabling within our data centers. We're looking for innovative people who can continue raising the bar for our ICT design, accelerating our time to market, and who have a desire for professional growth and continuous learning.Key job responsibilities
In this role, you’ll work with engineers and managers company-wide to develop solutions for the physical layer. Your responsibilities will include developing pathway, space, and cabling designs, along with specifications for construction and permitting. Additionally, you’ll engage with industry suppliers and manufacturers to define product requirements and explore emerging technologies.- Ensure timely delivery of scalable fiber optic & copper plant designs and specifications.
- Review and approve of ICT pathway, cabling and equipment submittals.
- Identify and respond to risks and high-priority issues rapidly and effectively.
- Support new technology and design activities that improve infrastructure quality, reduce cost and installation time.
- Travel 20+% to review projects and coordinate with onsite personnel and contractors at AWS' Data Centers.
- Have fun and offer creative, out of the box solutions.About the team
As an ICT Design Engineer, you will be part of a global engineering team, comprised of highly effective Architects, Structural, Civil, Mechanical, Electrical, Security, and Control Engineers.About AWSDiverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.
- 5+ years Information and Communications Technology (ICT) design experience in Mission Critical Environments
- 5+years of developing design documentation (plans, specifications, etc.) for construction and/or permitting.
- 5+ years of working experience with fiber optic components, cabling, and interconnect products, technologies, and standards
- Ability to prioritize & consistently deliver results in complex, fast-paced environment
- Possess excellent communication skills, attention to detail, and maintain high quality standards
- BICSI RCDD Certification or internationally recognized equivalent (e.g. CDCDP, DCDC, etc.)
- Professional Engineering (PE) Electrical License
- Experience in AutoCAD or other Computer Aided Design Tools
- Ability and willingness to think outside of the box to find creative and innovative solutions to reduce costs while maintaining or improving quality, reliability, or maintainability
- Experience in communicating with users, other technical teams, and senior management to collect requirements, describe features, technical designs, and strategy
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Key job responsibilities
* Guide and mentor a diverse team of software engineers and technical program managers
* Foster innovation in multi-tenant storage and workflow management platforms* Create frameworks for evaluating and implementing reliable AI systems
* Build collaborative relationships across teams to drive technical excellence
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product and program management teams
- Experience working directly within engineering teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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1. Problem Solving and Solution Design:
Make appropriate trade-offs and re-use or extend prior work where possible.
Thoroughly test your work and ensure clear, accurate, and concise documentation.
2. Strategic Contribution and Influence:Work backwards from the customer experience, balancing customer requirements with team requirements and influencing your team’s goals and programs.
Participate in your organization’s Operational Planning process.3. Team Mentorship and Development:
4. Operational Excellence:Resolve the root cause of difficult performance, reliability, or availability issues and deliver innovative solutions.Participate in design, operations, and post-incident reviews to identify risks to resilience and deliver projects that mitigate those risks.
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- Proven track record of designing and delivering innovative technology solutions to complex business problems
- Strong problem-solving and critical thinking skills
- Excellent communication and collaboration abilities, with the ability to work effectively with cross-functional teams
- Experience in strategic planning and decision-making, with the ability to balance customer and team requirements
- Expertise in diagnosing and resolving complex operational issues, with a focus on improving system resilience
- Experience in mentoring and developing team members
- Experience with distributed systems at scale
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As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and generative AI models to drive the state of the art in audio (and vocal arts) generation.Position Responsibilities:* Participate in the design, development, evaluation, deployment and updating of data-driven models for digital vocal arts applications.
* Participate in research activities including the application and evaluation and digital vocal and video arts techniques for novel applications.
* Research and implement novel ML and statistical approaches to add value to the business.
* Mentor junior engineers and scientists.
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with programming languages such as Python, Java, C++
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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• PhD in Machine Learning, Computer Science, Statistics or highly related field (Physics, Math)• 7+ years of applied ML experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers• Hands-on experience with designing and prototyping AI solutions for real world applications.• Expert knowledge of machine learning algorithms and techniques• Experience with large-scale data processing and storage systems• Strong business acumen, proven track record in performing high-quality analysis of data at scale• Ability to communicate complex technical concepts and solutions to all levels of the organization
• Experience with Flow Matching and Diffusion Models in the context of multi-modal architectures• Experience building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search• Experience with natural language processing and generative model architectures• Demonstrated track record of innovative AI solution development• Research publications or patents in generative AI technologies• Track record of mentoring scientistsAmazon est un employeur garantissant l'égalité des chances et ne fait aucune discrimination sur la base du statut d'ancien combattant protégé, d'un handicap ou de tout autre statut protégé par la loi.Notre culture inclusive permet aux Amazoniens d'offrir les meilleurs résultats à nos clients. Si vous avez un handicap et que vous avez besoin de mesures d'adaptation ou d'adaptation en milieu de travail pendant le processus de candidature et d'embauche, y compris du soutien pour l'entrevue ou le processus d'intégration, veuillez visiter pour plus d'informations. Si le pays ou la région dans lequel vous postulez ne figure pas dans la liste, veuillez communiquer avec votre partenaire de recrutement.
These jobs might be a good fit