דרושים Principal Solutions Architect Aviation Project Kuiper Mobility Team ב-אמזון ב-קנדה

• 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.

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

Key job responsibilities
Leadership & People Management* Lead, mentor, and grow a high-performing team of Startup Solutions Architects across Canada.
* Set technical priorities, coach on career development, and create a culture of builder-first, hands-on engagement with startups.
* Ensure consistent execution of technical depth and startup empathy across the team.
* Partner closely with Canadian startup account managers, BD teams, and ecosystem programs (VCs, accelerators, incubators).Regional Technical Strategy* Develop and execute the technical engagement strategy for Canada’s startup ecosystem.
* Tailor global mechanisms to Canadian needs, with emphasis on GenAI, data strategy, and regulated industries.
* Represent AWS in Canada’s startup and research communities, building relationships with universities, accelerators, and industry groups.
* Provide input to global SA leadership on trends emerging from Canada (AI/ML, fintech, climate tech).Hands-On Technical Leadership* While primarily a manager, stay hands-on enough to maintain credibility with founders and CTOs.
* Guide startups on cloud-native architectures, Kubernetes/EKS, DevOps/SRE practices, and serverless-first design.
* Provide expertise on GenAI workloads: foundation model usage, training/fine-tuning, inference scaling, and cost optimization.
* Advise on data strategy: proprietary data as a moat, data labeling, pipelines, compliance (especially PIPEDA in Canada), and ML readiness.Scaling & Mechanism Building* Drive creation of reference architectures, reusable assets, and enablement programs that scale across the Canada SA org.
* Build technical enablement programs for Canadian founders, including workshops on cloud-native, AI/ML, and data foundations.
* Partner with Canadian accelerators (Creative Destruction Lab, NextAI, Communitech, etc.) to deliver impactful technical programming

- 10+ years of management of technical, enterprise customer facing resources or equivalent experience
- 10+ years of infrastructure architecture, database architecture and networking experience
- Bachelor's degree
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.

- Strong familiarity with Canada’s startup ecosystem, including government programs (IRAP, SR&ED), AI research hubs, and local funding dynamics.

Key job responsibilities
- Use modern technologies to solve complex problems at scale
- Deliver solutions that scale in volume and handle the complexity of diverse workflows and country specific rules/regulations.
- Be a technical innovator that is not afraid to challenge the norms and innovate.
- Work with multiple cross functional teams to gather requirements, design, develop, deploy, and operate it across solution pipelines.- Design and develop code, build CI/CD pipelines, test automation, and dashboards for monitoring health of systems and data pipelines.- Lead engineering excellence initiatives for the orgA day in the life

- 2+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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

As a Principal Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work at scale. This position requires experience with developing Computer Vision, Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities
- You will be responsible for defining key research directions in Multimodal LLMs and Computer Vision, adopting or inventing new techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.- You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them.- You will also 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 in Electrical Engineering, Computer Science, Mathematics, or a related technical field
- 10+ years of practical work applying ML to solve complex problems experience
- Experience programming in Java, C++, Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
- Experience with computer vision, vision language models, deep learning, and/or natural language processing

- Knowledge of problem solving, algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences

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

Project Kuiper is looking for experienced and creative leaders to drive adoption of Kuiper broadband solutions in aviationKey job responsibilities
• Be the voice of the customer to influence the roadmap of new features and service capabilities.
• Incubate and launch new solutions to enable customer use cases.
• Understand the technical requirements of our customers and work closely with the product management and engineering teams to guide the direction of our product offerings and evolution.
• Be creative to help solve technical and commercial blockers and develop new product offerings.
• Earn trust with customers with transparency and subject matter expertise
• Support strategic business development and contribute to pricing and deal negotiation
• Focus on complex deals and develop long-term strategic partnerships.
• Create and capture best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts)

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- 10+ years of experience in the field of In-Flight Connectivity targeting commercial and/or business aviation

- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience with programming languages like Python, JavaScript, Go, .Net, Java or equivalent
- Should have had experience in taking aviation connectivity products and services from concept to in-servicePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.