דרושים Applied Scientist Ii Sp Bidding ב-אמזון ב-Canada, Old Toronto

Key job responsibilities
What you'll do:
- Be the primary quality representative for supplier quality activities
- Perform First Article Inspections (FAI) to make sure samples comply with drawings and specifications prior to production start or after any changes
- Own implementation, validation and continuous monitoring of supplier’s IQC, IPQC and OQC to ensure proper process FMEA, quality control plans, SOPs, SIPs, operator/inspector training, equipment and documentation are implemented and followed
- Determine strategies for continuous improvement in supplier quality and supply chain metrics.
- Manage supplier's corrective actions system (investigation, documentation and implementation of corrective action and the verification of their effectiveness)
- Conduct supplier audits including new supplier selection and regular process/product audits to existing suppliers, and effectively drive findings closures by proposing and implementing necessary CAPA- Take lead process capability assessment, measurement system analysis, MSOP & correlation and SPC implementations at supplier site
- Initialize the review and approval for supplier PPAP
- Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements
- Develop and prepare documentation, post reports, drive quality metrics and communication- Track issue and task progresses in JIRA and understand BOM components, layout and drawings with a PLM system (i.e. Arena, Agile, etc.)A day in the life
About the team
About AWS
Diverse Experiences
AWS 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 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

- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent
- 5+ years of manufacturing, process, industrial engineering experience
- Experience demonstrating problem solving and root cause analysis
- In-depth understanding and implementation experiences in APQP, FMEA, SPC & Process capability, MSA, PPAP, DOE, data analysis, hypothesis testing etc.
- Excellent English communication skills and interactions with suppliers and customers, both written and verbal

- Travel up to 50% of the time
- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders
- Certified QMS lead auditor
- Solid experience in SMT, DIP, FATP, FPC/FPCA and surface treatment process
- Good understanding of GD&T and experience of applying different measurement tools, techniques and gage/fixture design
- Experience of tooling design, tooling engineer and molding process engineer will be a plus
- Experience of reliability testing will be a plus

Key job responsibilities
• Design and develop a state-of-the-art Agentic service platform using advanced Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences
• Lead business and science strategy and roadmap for the team
• Design and build agents to guide advertisers in conversational and non-conversational experience.
• Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).
• Curate datasets and tools for MCP.
• Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.
• Collaborate with peers across engineering and product to bring scientific innovations into production.
• Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.
A day in the life• Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
• Team obsessed: You help the team achieve results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.
• Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.
• Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers
• Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges

- 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.

Key job responsibilities
As a Software Development Engineer,- You will solve technical challenges and act as a mentor to other junior engineers.
- Given that this is an early-stage initiative, you'll play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team.
- You will help invent new features, design, develop and deploy highly scalable and reliable distributed services.
- You will work with a variety of core languages (primarily Java and Python) and technologies (AWS).
- You will work closely with Product Managers, Engineers and Applied Scientists.

- 3+ 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

Key job responsibilities
- Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
- Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language

As an 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 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
- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Have publications at top-tier peer-reviewed conferences or journals

Role for Kuiper Sr. RFIC Layout design engineer:
As a Sr. RFIC Layout design engineer, you will be an integral part of the IC design team. Lead layout at a technical level, build circuit layouts for RF controller architectures. You will work in an integral team with the RFIC/Mixed signal designers on full chip layout of custom analog and RFIC designs. Work with the IC designers and chip leads to determine the chip floor plan. This includes strategies for power and ground distribution as well as working with package engineers to determine pad locations. You are required to accurately estimating the schedule for the layout tasks in a timely manner that is trackable, reportable and in sync with project deliverables. You are to identifying areas of complexity that needs early investigation.Perform custom layout of RF and analog circuit blocks with attention to matching and minimizing parasitics in the layout. Requirements include proficiency in Cadence Software (EDA) to develop, test and improve manufacturing processes and product designs for analog circuits. Proficiency in DRCs, ERCs and LVS checks; and resolving errors. Proficiency top-level layout integration with ESD structures and pad assembly; Including density fill, running DFM checks, preparing database for foundry deliveryExport Control Requirement:
Key job responsibilities
In this role you will:
• You will work closely with an internal inter-disciplinary team to drive key aspects of product definition, execution and optimization.
• You must be responsive, flexible and able to succeed within an open collaborative peer environment.
• You are required to specialize in application-specific integrated circuits. Additional requirements include proficiency/expertise in Cadence Software (CAD) to develop, test and improve manufacturing processes and product designs for analog circuits.
• Proficiency in verification software for Design Rule Checks (DRCs) and Layout vs Schematic (LVS) are necessary.
• Perform checks such as multi-patterning, latch-up, ESD, and density
• Required to perform layout in a timely manner that is trackable, reportable and in sync with project schedule
• Collaborate with digital design, and other RFIC design teams to define floorplans for RF front-ends and beamforming ICs.
• Layout high-performance analog, RF and mm-wave circuits keeping in mind requirements for matching, parasitic capacitance, electromigration, and all DRC rules.

• Bachelor's degree in Electrical / Communications Engineering or related field, or equivalent experience
• 7+ years of hands on experience full-custom analog or RF layout for high performance chips
• Proven track record where products have gone to volume production a plus

• Bachelor’s degree in Electrical Engineering or other technical field
• 10+ years in full-custom analog or RF layout for high performance chips
• Experience maintaining EAD tools for DRC, LVS, RC extraction, and design database management.
• Experience writing or modifying DRC rules files; a plus
• Strong written and verbal skills

Key job responsibilities
Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations, selling partner integrity, and content manipulationInnovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring, content verification, and automated listing complianceLearn, explore and experiment with the latest machine learning advancements to protect selling partner trust and integrityA day in the life
You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.

- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- 3+ years of building machine learning models or developing algorithms for business application 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 with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in patents or publications at top-tier peer-reviewed conferences or journals