9 701 Posti di lavoro Vignale Monferrato

Overview

Sr. DFT Design Engineer, AWS Machine Learning Acceleration. AWS Utility Computing (UC) provides product innovations and support for Compute, Database, Storage, IoT, Platform, and Productivity Apps services in AWS. Annapurna Labs designs silicon and software that accelerate innovation, delivering cloud solutions with custom chips, accelerators, and software stacks to address challenging problems at scale.

As a member of the Silicon Optimization Engineering Team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in applying new technologies to large-scale server deployments to deliver a world-class customer experience. This is a fast-paced, intellectually challenging role with high standards for performance, quality, and cost, and opportunities to work with thought leaders across multiple technology areas.

• Develop, implement and verify state-of-the-art Design for Test (DFT) architectures
• Work with block designers to integrate DFT implementations
• Work with physical design teams to set up and implement DFT insertion flow
• Develop high coverage and cost-effective DFT methodologies
• Perform RTL coding and verification
• Participate in silicon debugging and write scripts to effectively handle ATE-related data
• Communicate and collaborate with team members across multiple disciplines

Why AWS: Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of customers from startups to Global 500 companies.

Utility Computing (UC): AWS Utility Computing provides foundational and emerging services, supporting customers who require specialized security solutions for their cloud workloads.

• BS degree in EE, CE, or CS
• 5+ years of practical DFT experience with large processor and/or SoC designs
• Knowledge of industry-standard DFT tools and practices (ATPG, JTAG, MBIST) and trade-offs between test quality and test time
• Experience with automation script development

• MS degree in EE, CE or CS
• Broad knowledge of chip design from micro-architecture to physical design
• Knowledge of design verification (DV) simulation methodologies
• Experience with large gate-level simulation setup and debug with SDF
• Strong programming/scripting skills in Perl, Python, or Tcl
• Experience with standard DFT/SCAN/ATPG tools
• Experience with STA constraints development and analysis for DFT modes
• Practical experience with silicon debugging

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you require a workplace accommodation during the application or onboarding process, please visit for more information.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Overview

Machine Learning Engineer - Personalization at Amazon Prime Video. Prime Video is a destination for premium programming across devices. As a Prime Video technologist, you’ll have end-to-end ownership of product, user experience, design, and technology to deliver state-of-the-art experiences. You’ll work on fast-paced, challenging projects, experiment with new possibilities, take risks, and collaborate with remarkable people. We seek diverse perspectives, ideas, and skill-sets to improve Prime Video for customers, with global opportunities for technologists.

• Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods
• Collaborate with scientists, engineers, and product managers to expand product insights with data, and design experiments to identify high-impact projects for roadmaps
• Stay up-to-date with advancements and the latest modeling techniques in the field
• Publish research findings in top conferences and journals

Work with advanced approaches such as foundation models to connect information about videos and customers from multiple sources, acquiring and processing large-scale data. Build highly scalable page personalization solutions to improve recommendations, including addressing cold-start scenarios and uncovering niche user interests. You will lead as a research and hands-on ML practitioner, guiding teams of engineers and scientists and collaborating with senior leaders in Prime Video. There will be opportunities to publish research internally and externally.

• 3+ years of building models for business applications
• PhD, or Master's degree with 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing

• Experience using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on market location and job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled.

Location: ES, Community of Madrid, Madrid

Posted: October 3, 2024 (Updated 3 months ago)

Posted: August 18, 2025 (Updated 25 days ago)

Posted: November 7, 2024 (Updated 1 day ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Cloud Architect , Professional Services Korea

Job ID: | Amazon Web Services Korea LLC

At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to help our customers develop technical expertise and capacity, while also collaborating with our customers and partners on key engagements. Our consultants will deliver Pilot projects, topical workshops, and lead implementation projects.

Professional Services engage in a wide variety of projects for customers, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.

모집분야
Amazon Web Services (AWS)에서는 고객이 전문지식 역량을 개발할 수 있도록 돕고, 이를 위해 파트너와 협력할 수 있는 뛰어난 기술역량을 갖춘 클라우드 아키텍트를 채용하고 있습니다. AWS의 컨설턴트들은 아키텍처 검토와 파일럿 개발, 주제별 워크샵, 그리고 프로젝트를 통한 딜리버리를 담당하게 됩니다.
프로페셔널 서비스팀은 다양한 프로젝트를 통해 축적한 경험을 바탕으로 고객의 성공을 돕습니다. 또한, AWS 내부 다른 조직과 협력하여 제품과 서비스, 그리고 적절한 해결책을 고객에게 제공하고 고객 요구 사항에 따라 혁신을 추진합니다.

• Dive deep into inventory and application data of the customer’s on-premise services to assess the portfolio and develop decision criteria to create initial migration wave plans.
• Analyze the customer’s existing infrastructure design including network, storage, computing resources, along with the operational processes / policies to design a secure, robust, and highly tolerant multi-account AWS environment based on AWS best practices.
• Develop required operating and governance models, and help customers to migrate applications to AWS.
• Help customers and partners to be prepared for cloud operations, and identify the areas for automation to accelerate the migration and transformation of the organization.
• Establish the future operating model for cloud and plan, guide and support an efficient progression of the operational model during the migration.

프로페셔널 서비스팀에서는 여러 컨설턴트들과 협력하여 다음의 실무 역할을 수행할 클라우드 아키텍트를 채용하고 있습니다.

• 온 프레미스 서비스의 대상 시스템과 애플리케이션 데이터를 심층 분석하여 포트폴리오를 평가하고 의사 결정 기준을 개발함과 동시에, 초기 마이그레이션 계획 수립
• 고객의 네트워크와 스토리지, 컴퓨팅 리소스 등 현 인프라 설계를 분석하여 더욱 안전하고 견고한 내구성이 높은 다중 계정의 AWS모범 사례 설계
• 운영과 거버넌스를 위한 모델을 개발하고 고객의 애플리케이션을 AWS로 마이그레이션하도록 지원
• 고객과 파트너가 클라우드 운영에 대비할 수 있도록 지원하고 자동화 가능한 영역을 찾아 고객의 마이그레이션과 변화를 가속화
• 향후 클라우드 운영 모델을 수립하고 마이그레이션 중 모델의 효율적인 개선을 위한 계획을 수립하고 안내, 지원

A day in the life
This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed.

고객을 대면하는 역할이며, 필요에 따라 전문적인 서비스 제공을 위해 고객을 방문해야 할 수 있습니다.

Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services.

AWS 영업, 마케팅 및 글로벌 서비스 (SMGS) 는 크고 빠르게 성장하는, 공공 부문에서 엔터프라이즈에 이르기까지 고객의 성장을 돕는 역할을 합니다. AWS 글로벌 지원 팀은 글로벌 기업과 교류하며 고객의 성공을 돕습니다. 또한 AWS Support는 AWS 서비스를 기반으로 미션 크리티컬 애플리케이션을 구축하는 전 세계 고객 목록과도 파트너 관계를 맺고 있습니다. 프로페셔널 서비스팀은 AWS 내 글로벌 서비스팀에 소속되어 있습니다.

About AWS

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.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

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 Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

다양성

AWS는 다양한 경험을 중요하게 생각합니다. JD에 나와 있는 자격 및 기술을 모두 충족하지 못하더라도 지원자가 지원하도록 권장합니다. 경력을 이제 막 시작하였거나, 전통적인 경력을 쌓지 않았거나, 조금 다른 경험을 쌓았다고, 지원을 중단하실 필요는 없습니다.

AWS를 선택해야 하는 이유

아마존 웹 서비스 (AWS) 는 세계에서 가장 포괄적이고 널리 채택된 클라우드 플랫폼입니다.우리는 클라우드 컴퓨팅 시장을 개척했으며 혁신을 멈추지 않았습니다. 이것이 바로 가장 성공적인 스타트업부터 Global 500 기업에 이르는 고객이 AWS의 제품 및 서비스 제품군을 신뢰하는 이유입니다.

일과 삶의 균형

우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 절대 안 됩니다. 이것이 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다.

포용적인 팀 문화

AWS에서는 배우고 호기심을 갖는 것이 우리의 본능입니다.직원이 주도하는 어피니티 그룹은 서로 다른 점을 자랑스럽게 여길 수 있는 포용의 문화를 조성합니다.인종 및 민족에 관한 대화 (CORE) 및 AmazeCon (성별 다양성) 컨퍼런스를 포함하여 진행 중인 이벤트와 학습 경험은 우리가 우리의 독창성을 받아들일 수 있도록 영감을 줍니다.

멘토십 및 경력 개발

우리는 세계 최고의 고용주가 되기 위해 노력하면서 지속적으로 성과 기준을 높이고 있습니다.그렇기 때문에 더 다재다능한 전문가로 발전하는 데 도움이 되는 지식 공유, 멘토십 및 기타 경력 개발 리소스를 찾을 수 있습니다.

일과 삶의 균형

우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 절대 안 됩니다. 이것이 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다.

Posted: August 21, 2025 (Updated 5 days ago)

Posted: September 12, 2025 (Updated 9 days ago)

Posted: August 29, 2025 (Updated 22 days ago)

Posted: August 29, 2025 (Updated 22 days ago)

Posted: February 4, 2025 (Updated 2 months ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.

Overview

Job ID: | Amazon Web Services New Zealand Limited - C96

Amazon Web Services (AWS), a leader in Cloud Computing, is seeking grads to join our AWS Professional Services TechU program. This is a unique opportunity to play a key role in a fast-growing business and to deliver value to AWS customers of all sizes from startups to global brands. The skills and experiences you gain will be highly sought after throughout the industry and give you the opportunity for the career of a lifetime.

You will gain hands-on experience in cloud computing, develop business acumen, and learn about Amazon’s peculiar culture. You will work on projects, have the opportunity to obtain the AWS Cloud Practitioner certification, and attend professional development events. AWS Tech U is an accelerated career development program for recent graduates and early career professionals entering technical roles to advance their skills and help customers design flexible and resilient cloud-based solutions. The 12-month onboarding residency program includes a six-month academic curriculum followed by six months of on-the-job-training in the field. While in AWS Tech U, you will learn key technical and professional skills from top AWS subject matter experts that you can use in your career working with AWS’s customers.

The program offers the opportunity to specialize in an area of interest including:

• DevOps Specialist - A leader in building advanced computing systems that harness continuous integration/continuous deployment pipelines and utilize the strengths of cloud computing to build scalable and economical systems for clients.
• Cloud Infrastructure Architect - An expert in cloud-based networking and system rollouts. CIAs specialize in network performance, infrastructure provisioning, and building Application Programming Interfaces (APIs)
• Application Developer - AppDev resources are specialists in designing applications that run natively in the cloud. They are experts in building programs that run on any number of platforms including virtualized instances, containers, or serverless architecture.
• Data & Analytics - Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MongoDB, and Apache Cassandra
• Security Consultant - supports our services that have a focus on enabling security specialists using AWS Services including Identity Access Management (IAM), GuardDuty, Shield, Key Management Service (KMS), CloudTrail, CloudHSM, Inspector etc. Within AWS, security is job zero, and we believe that solid security practices are the foundation for using the Cloud. We are looking for candidates who are passionate about working with products targeted for security professionals.

Come chart your own path at AWS.

Recent graduate within the last 24 months, an associates, bachelors or master’s degree

Experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

Experience with one or more of the following: networking fundamentals, security, databases (relational and/or NoSQL), operating systems (Unix, Linux, and/or Windows)

Recently completed a degree in business or a STEM related fields such as computer science, computer engineering, information technology or related fields

Experience with software development lifecycle (SDLC) and agile/iterative methodologies

Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3

Basic Experience setting up cloud environment with AWSExperience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.

Mansione

Sei alla ricerca di un lavoro dinamico e a contatto con il pubblico?

Desideri entrare nel mondo della GDO?

Allora candidati, perché abbiamo l offerta di lavoro giusta per te!

Randstad Italia, per strutturata e rinomata realtà del settore GDO, con diversi punti vendita distribuiti su tutto il territorio nazionale, seleziona un

ASSISTENTE DI NEGOZIO

Luogo di lavoro : Novi Ligure (AL)

Si offre : inserimento iniziale in somministrazione, al 3° livello CCNL Commercio.

Orario di lavoro : full time su turni

Di cosa ti occuperai?

L Assistente di filiale avrà la responsabilità di gestire l’organizzazione dei turni del personale, delle fatture, dei resi e degli ordini e supporto nella gestione di tutte le attività della cassa e dei banchi assegnati. Nello specifico si occuperà di :

• organizzazione delle turnazioni;
• gestione di ordini, resi, bolle e fatture;
• operazioni di cassa;
• allestimento del banco vendita e prezzatura dei prodotti;
• vendita diretta ed assistenza al cliente.

Sei in possesso di questi requisiti?

• pregressa esperienza lavorativa nella vendita e assistenza alla clientela, in particolare nel settore GDO e retail;
• ottime doti relazionali e inclinazione al contatto con il pubblico;
• predisposizione al lavoro in team;
• precisione e affidabilità;
• disponibilità immediata e flessibilità a lavorare anche nei giorni festivi e nei weekend.

PRIOGDORETAIL

La ricerca è rivolta ai candidati ambosessi (L.903 / 77). Ti preghiamo di leggere l'informativa sulla privacy Randstad ( ai sensi dell'art. 13 del Regolamento (UE) 2016 / 679 sulla protezione dei dati (GDPR).

Overview

Machine Learning Engineer, AGI Information - Knowledge Graphs
Job ID: | Amazon.com Services LLC

Amazon's AGI Information is seeking an exceptional Software Engineer to drive ML systems development in the Amazon Knowledge Graph (AKG) team. AKG is re-inventing knowledge graphs for the LLM-era, developing sophisticated ML models and pipelines that enable efficient LLM grounding and power LLM-based customer experiences. We're looking for candidates who combine strong software engineering fundamentals with practical ML system development experience. You'll need to demonstrate expertise in building scalable, fault-tolerant distributed systems, with a track record of shipping production services that handle large-scale workloads. While ML engineering skills are important, we prioritize candidates who understand professional software engineering practices across the full development lifecycle - from system design and coding standards to testing, deployment, and operational excellence.

• Architect AI/ML systems that power our billion-entity knowledge graph, transforming raw data into intelligent, interconnected information at scale
• Develop and optimize LLM-assisted tools that revolutionize knowledge creation, from automated ontology generation to real-time fact extraction and verification
• Design, develop and maintain ML model serving infrastructure to enable high-throughput, low-latency inference in production environments
• Collaborate with applied scientists to productionize ML models, including implementing model improvements and new architectures for knowledge mining and graph construction
• Develop efficient data processing pipelines to handle large-scale training and inference data
• Support experimentation and A/B testing infrastructure to evaluate model improvements
• Participate in code reviews, technical design discussions, and sprint planning to ensure high quality software delivery
• Strong understanding of ML fundamentals and common optimization techniques
• Experience with data processing and ETL pipelines at scale

• 3+ years of non-internship professional software development experience
• Bachelor's degree in computer science or equivalent
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience with ML systems

• Master's degree in computer science or equivalent
• Experience with Graph Databases like Amazon Neptune, Neo4J, etc.
• Experience with ML systems, Model compilation, Triton, TensorRT, LLM inference optimization

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Posted: August 27, 2025 (Updated 1 day ago)

Posted: February 13, 2025 (Updated 1 day ago)

Posted: October 30, 2024 (Updated 1 day ago)

Posted: September 1, 2025 (Updated 1 day ago)

Posted: July 15, 2025 (Updated 1 day ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Overview

Machine Learning Engineer II, AWS Just-Walk-Out Science Team. As part of the AWS Solutions organization, we aim to provide business applications that help millions of companies manage day-to-day operations. We blend vision with curiosity to build turnkey solutions and partner with customers who prefer to buy over build. The Just Walk Out (JWO) team enables checkout-free shopping using computer vision, sensor fusion, deep learning, and foundation models. We design autonomous AI agents that can make decisions from visual inputs, understand customer behavior, and adapt to dynamic retail environments. Our team values entrepreneurial spirit, collaboration, and a startup-like culture within a large company.

The JWO store experience lets customers grab items and go, with the Amazon Go app handling entry and payment after the visit. This role focuses on developing novel algorithms and modeling techniques to advance state-of-the-art model training on multi-modal Foundation Models and AI applications in autonomous retailing.

• Collaborate with Applied Scientists to integrate state-of-the-art model architectures into the training pipeline, and integrate state-of-the-art MLLMs into the auto-labeling pipeline.
• Collaborate with Applied Scientists to process massive data, scale machine learning models while optimizing GPU utilization, memory management, and training workflows (e.g., kernel fusion, mixed-precision training, gradient accumulation, offloading optimizer states, massive parallelization).
• Design and maintain large-scale distributed training systems to support multi-modal foundation models for autonomous retailing and optimize GPU utilization for efficient model training and fine-tuning on massive datasets.
• Develop robust monitoring and debugging tools to ensure reliability and performance of training workflows on large GPU clusters; design and maintain large-scale auto-labeling pipelines.
• Collaborate with Engineers and Applied Scientists to investigate design approaches, prototype new technologies, evaluate feasibility, and solve complex problems.

• 3+ years of non-internship professional software development experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• 2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems.
• Proficient in Python or related language.
• Hands-on model training experience in PyTorch and deep learning frameworks such as MMEngine or Megatron-LM; experience in large-scale deep learning or machine learning operations.
• Familiar with modern vision-language models, multi-modal AI systems, pre-training and post-training techniques; proficient in training profilers and performance analysis tools to identify and optimize bottlenecks in model training.

• Master's or PhD in computer science or equivalent.
• 1+ years of experience developing, deploying, or optimizing ML models; exceptional engineering skills in building, testing, and maintaining scalable distributed GPU training frameworks; familiarity with HuggingFace Transformers for vision-language modeling.
• Hands-on experience in large-scale multimodal LLM and generative model training; contributions to open-source LLM frameworks or publications in top AI conferences (CVPR, ECCV, ICCV, ICLR, etc.).
• Experience in GPU utilization and memory optimization techniques (kernel fusion, custom kernels, mixed precision with dynamic loss scaling, gradient/activation checkpointing, gradient accumulation, offloading optimizer states, smart prefetching, Fully Sharded Data Parallel, tensor and pipeline model parallelism).
• Proven experience in large-scale video understanding tasks with multi-modal learning, data preprocessing pipelines, and robust evaluation at scale.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: job duties include working safely, adhering to standards under stress, effective communication, and compliance with laws and policies; criminal history may affect job duties. We will consider qualified applicants with arrest and conviction records as required by the Los Angeles County Fair Chance Ordinance.

Our inclusive culture supports accessibility needs. If you require a workplace accommodation during the application or hiring process, please visit amazon.jobs for more information. If your country/region isn’t listed, contact your Recruiting Partner.

Our compensation reflects multiple US geographic markets. Base pay ranges from $129,300/year to $223,600/year, depending on location and experience. Amazon is a total compensation company; equity, sign-on, and other benefits may be included. For more information, visit aboutamazon.com/workplace/employee-benefits.

Posted: September 20, 2025 (Updated ~6 hours ago); Posted: September 1, 2025 (Updated ~7 hours ago); Posted: August 27, 2025 (Updated ~16 hours ago); Posted: June 24, 2025 (Updated 1 day ago); Posted: September 18, 2025 (Updated 1 day ago).

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Overview

Job ID: | Amazon.com Services LLC

Amazon’s Artificial General Intelligence (AGI) organization is developing a next-generation web search system to support RAG applications across Amazon. We are looking for a Sr. Applied Scientist with expertise in information retrieval (IR) and ranking to join the team. If you are looking for an opportunity to develop innovative solutions to deep technical problems in web-scale information retrieval (IR), helping to deliver retrieval-augmented generation solutions with a massive customer impact, this might be the role for you. As an Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will leverage your expertise in LLMs to develop a state-of-the-art evaluation and document labeling workflow to drive automated evaluations and training data generation. You will keep up with relevant research in the field of IR and publish your work in top-tier conferences. You will develop and help lead the execution of multi-year research roadmaps, enabling the team to focus on the right technical challenges to delight our customers.

• As an Sr. Applied Scientist, you will apply scientific rigor to your work. You will deliver incrementally, setting up and executing experiments informed by rigorous failure space analysis of prior experiments.
• You have a knack for writing clear, succinct and informative reports of your experiments.
• You collaborate and seek guidance from other scientists on your team to define the next experiments.
• You collaborate closely with engineers to bring your innovations into production.
• You will continuously work with customers and stakeholders to simplify and adapt to deliver for our customers.
• You will develop state-of-the-art web search technology, including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.

• 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

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• Deep expertise in state-of-the-art LLMs (e.g., Claude, GPT-4, Olympus) and their capabilities as evaluators
• Experience with LLM alignment techniques, including RLHF, DPO, or similar approaches
• Publications at peer-reviewed conferences (e.g. SIGIR, WWW, CIKM, ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.

MD SPA è un’azienda in forte crescita ed espansione che investe tanto nella formazione e crescita professionale delle risorse interne. MD non soltanto è il luogo dove ciascun cliente può trovare il giusto connubio fra qualità e convenienza, ma anche quello dove ogni dipendente si sente parte di una vera e propria squadra.

Rispetto nei confronti dei collaboratori, coinvolgimento e determinazione nell’ottenimento dei risultati sono le caratteristiche principali dell’ambiente di lavoro in MD, giovane, dinamico, inclusivo e in continua evoluzione.

La risorsa si occuperà di assistere lo Store Manager nella gestione del punto vendita.

In particolare, affiancherà lo Store Manager nelle operazioni fiscali e contabili, nella gestione degli ordini, nello scarico, nell'allestimento e nel rifornimento delle merci, nella preparazione delle aree promozionali, nella gestione del personale e nella relazione con la clientela.

• Titolo di studio: Diploma
• Precedente esperienza lavorativa di almeno 2 anni nella GDO o in supermercati come vice responsabili di punto vendita o responsabili di reparto
• Disponibilità a lavorare su turni e nei festivi
• Patente di guida e mezzo proprio

Non verranno prese in considerazione candidature prive dei requisiti richiesti.

La richiesta è rivolta a persone di entrambi i sessi (L.903/77).