דרושים Senior Applied Scientist Global Logistics ב-אמזון ב-United States, Boston

We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.
Key job responsibilities
Specifically, the Research Scientist will:
• Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
• Clean, analyze and select speech/language/other data to achieve goals
• Build and test models that elevate the customer experience
• Collaborate with colleagues from science, engineering and business backgrounds
• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
• Work with engineers to develop efficient data querying infrastructure for both offline and online use cases

- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience in Python, Perl, or another scripting language
- Experience with various machine learning techniques and parameters that affect their performance
- Experience analyzing both experimental and observational data sets

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
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

As a Partner Solution Architect at AWS, you will:
- Draw on your technical cloud and AI expertise to help partners develop joint solutions by leading substantive architectural discussions.
- Get hands-on building prototypes and demonstrations that communicate the functionality of AWS services.
The ideal candidate brings:
- An inclination to get hands-on with diverse technologies to deepen understanding and create working concepts.
- A broad and deep technical background that bolsters credibility when offering guidance to engineers and architects.
- Experience as a thought leader who can capture the attention of decision-makers through channels such as written publications, video, social media, and speaking engagements at industry conferences.30% travel is required.Key job responsibilities- Provide architectural guidance and recommendations on building applications efficiently and reliably on AWS.
- Influence solution providers in their development of strategies that will enable them to present their offering on AWS.
A day in the lifeDiverse ExperiencesAWS 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 GrowthWe’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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- Experience supporting ISV partners and programs
- Professional experience architecting/operating solutions built on AWS
- AWS Certification, eg. AWS Solutions Architect Associate
- Demonstrated experience developing enterprise application architectures to meet business requirements in complex environments
- Understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity
- Large-scale systems integration involving on-premises technology and public cloud platform

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

Key job responsibilities
* Design, implementation, deployment and maintenance of innovative software solutions to transform service performance, availability, cost, and security.
* Use Java/Java based frameworks and software engineering best practices to ensure the standard of quality of all team deliverables.
* Write high quality distributed system software.
* Work in an agile development environment, where you are always working on the most important stuff.
* Mentor junior software development engineers

- 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