דרושים Applied Science Manager Private Brands Discovery ב-אמזון ב-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

Key job responsibilities- Attainment of organizational performance goals and objectives relating to safety, security, availability, scaling, efficiency and cost
- Vendor management of Colo datacenter services providers to meet or exceed contracted performance SLA’s
- Safety, security, and availability incident response, incident management and incident resolution
- Continuous improvement of operational processes, procedures, methods and tools

Bachelor's or Master’s degree in engineering, computer science or a related field, or relevant industry experience
- 10+ years of relevant management experience in data center operations, facility engineering operations, information technology critical environment facilities, advanced high-volume manufacturing or similar.
- Demonstrated track record in delivering complex projects
- Proven ability to hire, develop and manage high-performing technical teams
- Prior ownership of the operation of a mission-critical team and/or product
- Ability to operate independently as a manager of a geographically distributed management team
- Excellent written and verbal communications skills
- Excellent analytical, quantitative, and presentation skills
- Fluency in Spanish and English

- Expertise in one or more continuous improvement methodologies such as Lean or Six Sigma
- Substantial knowledge of mechanical, electrical, and controls systems in a critical or controlled environment.
- Broad knowledge of information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, technologies and architectures, IT service delivery principles and best practices.

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.

Key job responsibilities
* Partner with laboratory science teams on design and analysis of experiments
* Originate and lead the development of new data collection workflows with cross-functional partners
* Develop and deploy scalable bioinformatics analysis and QC workflows
* Evaluate and incorporate novel bioinformatic approaches to solve critical business problems

- 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
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- 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

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

- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.

- 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.