דרושים Applied Scientist Artificial General Intelligence 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

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’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

A day in the life
Diverse 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.About AWSUtility Computing (UC)Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our conferences, inspire us to never stop embracing our uniqueness.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 relevant systems engineering, or systems administration experience using Operating Systems, networking, and storage systems
- 5+ years of Systems Engineering, DevOps, Site Reliability Engineering (SRE) or Enterprise Production experience in Windows / Linux or similar environments
- 3+ years' experience operating in a 24/7 production environment.
- 3+ years experience with a scripting language: Perl, Python, Ruby, PowerShell or similar languages

- Bachelor's Degree in Computer Information Systems, Computer Engineering or a related discipline
- 6+ years of networking experience
- 6+ years' experience with support procedures and methodologies for production computing environments.
- Development of systems automation in a scripting language: Perl, Python, Ruby, PowerShell or similar languages
- Experience with Agile engineering practices (Scrum, continuous delivery, etc)

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

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, 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, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.Key job responsibilities
Specifically, the Language Engineer will:
• Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
• Analyze and extract language-related insights from large amounts of data
• Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
• Use modeling tools to bootstrap or test new functionalities
• Collaborate with scientists and software engineers to evaluate performance of language models
• Handle competing requests from a range of data customers

• Masters’s or higher degree in a relevant field (computational linguistics or equivalent field with computational analysis)
• 2+ years experience in computational linguistics or language data processing
• Experience with language annotation and other forms of data markup
• Experience with scripting languages, such as Python
• Experience working with speech and text language data in multiple languages
• Excellent communication, strong organizational skills and very detailed oriented
• Comfortable working in a fast paced, highly collaborative, dynamic work environment

PhD in Computational Linguistics (or equivalent field with computational emphasis)
• Expertise in bootstrapping language data collections in a quickly changing environment
• Comfortable working with speech and text language data in multiple languages
• Experience in writing grammars and building FSTs
• Experience with statistical language modeling
• Practical knowledge of version control and agile development
• Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
• Willingness to support several projects at one time, and to accept reprioritization as necessary
• Able to think creatively and possess strong analytical and problem solving skills

The Role:
The Sr. Mgr, QEM of will drive continuous improvement in all aspects of the job, deal with ambiguity, and influence at all levels of the company, including making quality assessments and risk appraisals to executive leadership . As a senior leader, this role requires building a team of Quality Engineering Managers and coaching their development to achieve high performance.
In this role, you will:Be an expert in advanced quality methods and protocol.
Deliver solutions to complex problems through in-depth data analysis and forensics by using methodical approaches, along with experience, innovation and judgment to make decisions that may be based on partial information.Align cross-functionally, influencing a broad spectrum of stakeholders to deliver on the quality policy.
Create standards around which others will operate and build consensus
Determine specific quality related functional milestones during NPI

BSME/BSIE/BSEE or related Engineering degree.
7+ years of experience in an engineering and/or quality role
Understand technology, at the system and commodity level as well as software and usability
7+ years use of statistical tools like Minitab, JMP
3+ years of management experience

-MS/MBA: Engineering, Manufacturing, or Operations Management
-Certified Quality Engineer/ Six Sigma Blackbelt/Master Blackbelt
-Excellent written and oral communication
-Strong ability to work with and influence others
-Self-motivated/self-directed