דרושים Sr Manager Applied Science ב-אמזון ב-United States, Boston

Key job responsibilities
We are looking for a senior network operations engineer in the satellite, antenna, and radio frequency space who will require a blend of technical expertise spanning RF engineering, satellite communications, and advanced networking technologies. Beyond technical skills, success in this role demands strong problem-solving abilities, continuous learning, and the capability to design, optimize, and troubleshoot complex satellite communication systems while ensuring regulatory compliance and performance excellence.
Act as a subject matter expert (SME) for escalated networking issues, including BGP peering, DNS failures, throughput bottlenecks, and path optimization.Develop troubleshooting playbooks, technical guides, and knowledge base articles to enhance case deflection and onboarding of new support engineers.
Mentor junior support engineers, providing case coaching, knowledge transfer, and technical escalation support.
Drive operational readiness and support planning for new network features, firmware rollouts, and regional launches.Work in a rotating shift schedule, including weekdays, and weekends, with the requirement to be available for on-call duties as needed to ensure continuous operational coverageExport Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

- Experience in technical support
- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent, or 5+ years of professional or military experience
- 5+ years of experience in satellite communications, network operations, AWS NetDev, or RF engineering roles with focus on system troubleshooting and technical support.
- Demonstrated hands-on experience with RF fundamentals including carrier operations, link budgets, and satellite ground equipment. Must be proficient in standard network protocols and system architecture.
- Strong track record of analyzing complex technical issues and managing customer escalations through resolution. Experience documenting technical solutions and standard operating procedures.
- Proven experience using spectrum analyzers, monitoring tools, and standard test equipment for system diagnostics and optimization.
- Understanding of antenna specifications including gain, beamwidth, polarization, and radiation patterns. Hands-on experience in antenna installation, maintenance, and troubleshooting.
- Strong background in NOC operations with experience in emergency response and on-call support scenarios.

Key job responsibilities
Key job responsibilities
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve resultsThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problemsCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reports

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research 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 in patents or publications at top-tier peer-reviewed conferences or journals
- PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
- Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
- Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems

You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.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
You will be 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. 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 be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- 5+ years of hands-on work in predictive modeling and analysis experience
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- 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

- 10+ years of relevant work in industry or academia experience
- 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.Key job responsibilities-Daily building rounds to monitor and record information from electrical, mechanical, and fire/life safety equipment to ensure 24/7 reliability and availability
-Monitor Building Management Systems (BMS) and Electrical Power Management System (EPMS)
-Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA)
-Perform rack installs and rack decommissioning within internal SLA
-Perform PM, troubleshooting, root cause analysis, and repair of electrical and mechanical equipment
-Technical writing to support change management program
-Monitor daily work requests and manage to resolution, and execute projects from conception to completion
-On-site support of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislationPhysical Requirements:-Regularly lift and/or move up to 39 pounds independently
-Participate in group lifts for 40+ pounds
-Maintain balance and perform construction tasks while on a ladder
-Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
-Work in an environment requiring provided ear protectionA day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- Technical (Military/Trade School) training or 2+ years of electrical or mechanical, HVAC, fire system experience in a mission-critical infrastructure or equivalent experience in a relevant industry (for example: electrical or mechanical)
- 2+ years’ experience with Microsoft Office products (including Excel, Word and PowerPoint)
- High school or equivalent diploma

- 4+ years of Data Center Engineering experience
- Associates or Bachelor’s Degree

Utility Computing (UC)
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Work/Life BalanceMentorship & 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 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

Key job responsibilities
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve resultsThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problemsCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reports

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
- Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
- Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with patents or publications at top-tier peer-reviewed conferences or journals

Key job responsibilities- Create closed-loop feedback processes where data associates are encouraged to be active participants in identifying opportunities for improvements to customer experience, workplace conditions, and internal tools.- Responsible for creating a coaching culture across the site where formal and informal coaching opportunities are availed of- Improve the experience of the data associates & managers as measured by improvements in attrition and employee engagement surveys.
- Work with Operations Engineering leadership / Engineering managers to clearly articulate feature requirements for associate tool sets, user interfaces, and business logic for the efficient handling of work volumes.

- Master's degree or MBA
- Familiarity machine learning.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues
- Lean Six Sigma Black Belt certified