

Explore the Product:
A day in the life
- B.S. in Computer Science or related field
- 5+ years as a software engineer
- 5+ years of engineering team management experience
- Proven track record in new hardware chip bring-up
- Deep knowledge of backend compiler architecture, including, lowering, control-flow management, DMA optimization, and code generation
- M.S. or Ph.D. in Computer Science or related technical field
- Experience with LLVM and LMIR
- Experience with deep learning models and algorithms.
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About Sponsored Products and BrandsKey job responsibilities
As an Applied Science Manager, you will:* Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
* Develop science and engineering roadmaps for SPB ads response prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
* Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
* Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language

Explore the Product:
A day in the life
About this hiring group
- B.S. or M.S. in Computer Science or related field
- 5+ years of engineering team management experience
- Experience partnering with product management
- Strong knowledge of developing and/or managing simulation software
- Solid understanding of compilers (specifically, resource management, instruction scheduling, code generation, and compute graph optimization)
- M.S. or Ph.D. in Computer Science or related technical field
- Experience with and deep learning models and algorithms.
- Experience with LLVM, LMIR
- Interactions with open-source communities

Key job responsibilities
A day in the life
* Serve as the primary relationship owner for assigned partner(s), developing comprehensive partnership strategies and maintaining executive relationships
* Collaborate with Product, Engineering, and Business leaders across Amazon to define requirements and ensure successful execution of partnership initiatives
* Lead complex, multi-stakeholder negotiations for strategic technology partnerships, licensing agreements, and co-development initiatives
* Prepare and present business reviews to senior executives on partnership progress, strategic opportunities, and potential risks
* Drive "Think Big" strategies to identify next-generation technology opportunities across domains like AI, OS, Search.
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are seeking an exceptional Senior Applied Science Manager to lead key AI initiatives to ensure a perfect order experience for Amazon customers. In this role, you will spearhead the development of a domain specific large language model designed to comprehend complex seller behaviors and relationships. You will lead the research and implementation on LLM pre-training, fine-tuning and reinforcement learning for LLM reasoning. You will implement and influence ranker models that intelligently adjust product visibility based on risk signals and trust metrics.Key job responsibilities- Lead the end-to-end development of a domain specific LLM.
- Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets.
- Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies.
- Strong communication skills with ability to translate complex technical concepts to various audiences
- Experience with LLM development, including pre-training, fine-tuning, and reinforcement learning
- Knowledge of search, ranking, or recommendation systems
- Experience with multi-modal ML systems combining text, image, and structured data

As a Software Development Manager, you will be joining the team that builds Journal Data Plane services and automations at scale. You will be leading a team of software developers solving novel technical challenges, working with tenured Principal Engineers and Senior Software Engineers on a daily basis.
Your responsibilities include:- Own the delivery of software development projects end-to-end.
About the team
About AWS
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.
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development 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

Explore the Product:
A day in the life
- B.S. in Computer Science or related field
- 5+ years as a software engineer
- 5+ years of engineering team management experience
- Proven track record in new hardware chip bring-up
- Deep knowledge of backend compiler architecture, including, lowering, control-flow management, DMA optimization, and code generation
- M.S. or Ph.D. in Computer Science or related technical field
- Experience with LLVM and LMIR
- Experience with deep learning models and algorithms.
משרות נוספות שיכולות לעניין אותך