Business Analyst Spx Science jobs at Amazon in United States, Seattle

Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

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

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

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

This position will be required to sit in Manassas, VA as the primary location for approximately 2-4 months until the building in Fredericksburg, VA is open and operational.
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.To be successful in this role you should possess technical aptitude, written and oral communications skills and the ability to deal effectively with people in a wide variety of situations. In addition, you must possess strong analytical skills with demonstrated problem solving ability. You will be able to leverage your experience exercising high levels of initiative, judgment, and diplomacy.
Physical Requirements:
All physical requirements are expected with reasonable accommodations:
• Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds
• Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed
• Working in cramped and/or elevated and/or noisy environments
• Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day
• Ascending and descending ladders, stairs, and gangways safely and without limitationKey job responsibilities
• Moving and implementing large enterprise equipment
• Installing Fiber and Copper cabling and patching cabling between equipment
• Ensuring proper safety and security standards are maintained during cabling and rack installation,
• Following well established hardware installation procedures and break-fix activities
• Safely using material handling tools and equipment
Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided.Diverse Experiences
Amazon 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.Work/Life BalanceMentorship and 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.

- High school or equivalent diploma
- 1+ year or experience in any of the following or similar technical or vocational roles: Computer Hardware Repair, Infrastructure Cabling, Network Deployment, Data Center Operations, Technical Project Management

- Industry standard certifications (CompTIA, CCENT, Network+)
- Knowledge of network cabling, optic types, and test equipment
- Experience with cabling infrastructure best practices and methodologies
- Experience with medium to large, complex project scopes and ambiguous details within work environment
- Knowledge of major Command Line Protocols (Cisco IOS, JunOS, GNU/Linux) and common Networking Protocols (BGP, OSPF)

Key Responsibilities
· Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
· Develop fair predictive models to understand important business and people-centered outcomes
· Productionize ML and science models at the scale of Amazon

- 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.

You'll bring a proven track record of structuring and closing enterprise-level partnerships, along with deep experience in solution-based selling. Working closely with cross-functional teams, you'll align partnership strategies with product capabilities, ensuring successful integration and adoption of our APIs.
Key job responsibilities
* Initiate, develop, and oversee relationships with our most-strategic internal partners and our executive sponsors.
* Understand the needs of our Selling Partners and influence or grow our technology partners to address those needs.
* Manage complex relationships and business and technical requirements.
* Work with internal and cross functional teams to create and execute on strategic API business plans, inclusive of innovative demand generation, strategic GTM activities, and co-marketing campaigns,
* Drive results through business reviews to manage progress against a business plan.
* Implement programmatic mechanisms with key internal stakeholders that will allow us to operate at scale.

- 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