דרושים Principal Applied Scientist Advertising General Intelligence ב-אמזון ב-United States, San Diego

You will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with field teams, and customers. By driving the adoption of Generative AI technologies, you will play a pivotal role in propelling AWS's revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects.
Key job responsibilities
Strategic customer engagement:
Adoption program development:
- As an adoption expert, create and maintain best practices documentation, implementation guides, and training materials to be applied across multiple service domains.
- Track and analyze adoption metrics to measure effectiveness and identify areas for improvement.
- Develop governance frameworks for sustainable adoption at scale across domains.
Customer success management:
Product feedback loop:
- Collect and communicate customer feedback, insights, and requirements to Go-To-Market teams.Diverse ExperiencesAmazon 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 GrowthWe’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.

- Bachelor’s degree in Computer Science, Engineering, Math, or a related field or 5 years of product management or go-to-market, or sales experience.
- 5+ years of GenerativeAI / AI / ML.
- 10+ years in the technology industry focused on customer success or in go-to-market roles, or management consulting serving high-tech clients on go-to-market topics
- Experience engaging and influencing senior customer executives, technologists and/or partners to solve complex business problems with advanced technologies
- Ability to travel up to 15% as needed

- Experience in AWS cloud computing or SaaS, ideal if experience is in GenAI/AI.
- MBA or advanced degree in AI/ML.
- Effective at communicating complex technological solutions to diverse audiences and building strong internal and external brand presence.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We’re looking for someone who:
- Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it.- Has impeccable attention to detail, follow-through, and resourcefulness.Key job responsibilities
- Build and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo- Enable data access, literacy and self-sufficiency: You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.

- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- 3+ years of SQL experience

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
* Design, build, and deploy machine learning models, frameworks, and data pipelines
* Optimize ML training, inference, and evaluation workflows for reliability and performance
* Evaluate and improve ML model performance and metrics
* Develop tools and infrastructure to enhance ML development productivity

* 3+ years experience building and deploying machine learning systems
* Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools
* Proven track record of improving ML systems, performance, and workflows

* Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications
* Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
* Capacity to work autonomously and with a small team to drive research progressPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

NOTE: This position shall primarily support second shift operations (~1430hrs - 2230hrs). In future, there may be rotation with first shift operations.Key job responsibilities
- Actively support and foster a culture of inclusion.
- Own Process optimization and cost reduction initiatives for sustaining processes.
- Perform critical process reviews including Risk and Hazard assessments.
- Development and Validation of processes specific to NPI programs.
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor’s degree in Mechanical Engineering, Industrial Engineering or related discipline.
- 5+ years’ experience in manufacturing environment and knowledge of GMP.
- Experience with Project Management tools.
- Experience in New Product Introduction environment including Phase-Gate process experience.
- Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks.
- Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology.
- Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms.
- Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics.

- MBA or advanced Engineering degree preferred.
- Proven ability to manage and deliver projects with accelerated schedules.
- Proven analytical approach to problem-solving.
- Experience in manufacturing / process improvement (eg. Lean-Six Sigma).
- Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming.
- Self-motivated and able to solve problems independently and in team settings.
- Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

interviewing tips on Instagram, and discover projects we're solving on our Blog.About the RoleYou will report to the Applied Science Manager on the Community Discovery Team.You can work in San Francisco, CA or Seattle, WA.You Will- Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.

- BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.
- Hands-on experience with predictive modeling and analysis to solve real-world problems.
- Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.

- MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.
- Experience shipping your models to production.
- 1+ years of experience working in recommendations or search.
- Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.
- Familiarity with Twitch, its business, and its community.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control

- Are enrolled in a Bachelor's degree or above
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of resultsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
We are looking for an experienced engineer to lead design verification and test for the Kuiper satellite electrical power system. In this role you will be responsible for ensuring the satellite electrical power system meets all requirements through testing in different venues and levels of integration. This will include:• Working with system engineers to create verification cross reference matrices to define test coverage and execution across all power system test venues including hardware in the loop and production acceptance testing.
• Using power system design requirements to develop test plans and procedures.
• Define and develop test systems/venues necessary to meet verification goals of the power system, including development and test execution on hardware in the loop integrated test beds.
• Drive test execution for system level verification testing, and support teams working on production test execution.
• Drive test readiness reviews, and verification/qualification test results reviews with multiple cross-team leaders
• Be a technical leader/role model and mentor of other engineers; instilling best practices across the full development and test lifecycles.A day in the life
In this role you will be a member of the satellite power systems team which oversees development and validation of the current and future generation satellite electrical power systems. As a Sr. Power Systems Test Engineer, you will own power system verification and test and will work with other power systems and development engineers to deliver a fully validated power system for the satellite. You will work to develop test plans for the satellite power system that provides full coverage for system requirements. You will function as a lead for power hardware-in-the-loop (PHITL) test beds, ensuring these venues are properly designed to provide verification of the satellite power system. You will also drive reviews for a given campaign of power system validation; pulling in cross-functional teams to review and reach alignment. You will also support production test venues through test definition and data reviews. Finally, as a senior engineer on the team, you will serve as a technical leader and role model, ensuring that the team upholds a high standard, and instilling best practices within the power systems engineering team.
About the team
You will work with a team of top-notch engineers and collaborate with multiple other spacecraft design and integration teams. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve system performance, and manage non-conformances into actionable items and procedural improvements. We want individuals who are ready for this challenge and want to reach beyond what is possible today.

- Experience in developing functional specifications, design verification plans and functional test procedures
- BS degree in electrical engineering or equivalent.
- 5+ years of experience in design or systems architecture role working within power systems or related area of development.
- Experience with complex power systems design.

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience leading interdisciplinary teams to execute product design from concept to production
- Experience with development of hardware in loop testing for automotive and/or aerospace systems.
- System test verification experience in the area of power conversion, power systems, solar, battery, electric vehicles, satellites, or rockets.
- Experience in requirements definition and derivation using modelling, simulation and other analysis tools.
- Experience as a technical lead or manager.
- Experience developing system architecture for multiple subsystems.
- Experience with low-level software development and/or scripting with applications involving testing of power components or integrated power systems.
- Working knowledge of at least one programming language such as Python or C/C++.
- Cross-organizational communication – comfortable evangelizing ideas and concerns clearly and persuasively, in both verbal and written forms