דרושים Applied Science Manager Music Ml-p13n ב-אמזון ב-United States, California, San Francisco

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 BalanceKey job responsibilities
Building relationships to understand our customers and partners is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.You’ll also act as thought leader in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just be part of an industry movement; you’ll be leading it.A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers, and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you’ll craft highly scalable, flexible, and resilient cloud architectures that address our customers’ business problems. As part of our team, you’ll have the opportunity to continuously learn and innovate daily.

- Bachelor's degree
- Experience in design, implementation, or consulting in applications and infrastructures
- Background in any other following or related to Technology Architect, Consultant, Cloud Architect, Technical Lead, Engineering Lead, Systems Engineer etc.
- Experience and/or deeper understanding in one or more technology areas. Specific knowledge in multiple technology domain areas (e.g., software development/architecture, systems engineering, infrastructure, containers, databases, security, networking, data & analytics, AI/ML, GenAI).
- Have worked on design, development, implementation, or consulting applications / platforms in their prior experience
- Can create proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
- Understands and can articulate common architectural patterns and design principles.
- Able to create technical content that is easily adopted and reusable by others.
- Fluent communication skills.

- Knowledge of AWS services
- Experience architecting, migrating or transforming customer requirements to the cloud
- Professional experience architecting / operating solutions built on AWS or other cloud technology
- Experience migrating or transforming legacy customer solutions and/or applications to the cloud
- One or more AWS certifications, e.g. AWS Solutions Architect Professional
- Able to present to technical and business audiences (training, workshops, publications)
- 4 years’ experience as a Solution Architect or related role.

As a Senior Startup Investor Manager within AWS, you will work with venture capital firms and angel investors to accelerate portfolio company success. You'll work with key investors to help unlock the potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on supporting meaningful initiatives between the investment community and AWS, helping startups leverage cloud to achieve breakthrough growth. You'll combine technical understanding of cloud and emerging technologies, such as generative AI, with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
• Support and execute initiatives with venture and angel firms, contributing to investor-focused programs that accelerate portfolio company success• Implement solutions that address specific startup and investor needs• Collaborate on cross-functional initiatives involving AWS Startups, Sales, Marketing, and Product teams• Monitor program effectiveness and provide feedback based on results• Collect early-stage market signals from investors and founders to support AWS innovation and help meet the evolving needs of tomorrow's breakthrough companies• Evaluate technical and business potential of startups through understanding of their architecture, technology stack, and market opportunity• Serve as technical advisor to portfolio companies, helping them optimize their cloud architecture and go-to-market approachAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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

- Experience managing competing priorities and using metrics to drive business decisions
- 7+ years of experience in technology industry with focus on startups, ideally in combination with technical roles
- Strong understanding of cloud computing architectures, services, and best practices and familiarity with generative AI technologies
- Understanding of technical patterns and architectures for workloads relevant to startups
- Bachelor's degree in technical or technical management field or equivalent experience

- Advanced degree, or MBA
- Experience with analytical tools and ability to dive deep into metrics and reporting
- Experience at startups or venture capital/angel firms
- Experience building and scaling cloud-native applications from the ground up
- Experience with commercial aspects of fast-growing technical businesses
- Ability to understand and evaluate emerging technologiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Your day will be filled with exciting challenges and opportunities to showcase your technical expertise. You’ll engage with Amazonians across various teams, owning and recognizing their unique IT needs and provide personalized high-quality support. You'll be a trusted advisor, a problem-solver, taking initiative to diagnose, troubleshoot and resolve a wide variety of specialized hardware and software issues implementing successful solutions. Our Engineers guide and empower technical and non-technical Amazonians through the ever-evolving digital landscape implementing solutions that fit their needs.Key job responsibilities
- Deliver on-site, high quality, hands-on support diagnosing, troubleshooting and resolving issues successfully, evaluating log files to determine the health of systems, software and hardware
- Assist with activities to triage and escalate system or network outages to reduce downtime
- Understand and execute change management activities in a high availability environment
- Participate with partner teams and vendors on continuous improvement projects, defining requirements and managing execution to deliver operational excellence and value
- Effectively manage and oversee IT asset inventories- Continuously expand skills, learning the latest technologies and maintaining knowledge of IT policies to provide technically accurate solutions
- Occasional travel required based on the needs of the business
- Participate in 24/7 on-call duty required for isolated high-severity incidents, serving as escalation point outside regular hours
A day in the life
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) PlanLearn more about our benefits here:

- High school or equivalent diploma
- 2+ years of corporate setting Windows, Mac or Linux Operating systems support experience
- 2+ years of supporting and maintaining a corporate network environment experience
- 2+ years of troubleshooting in a multi-user high availability environment experience
- 2+ years of PC repair, troubleshooting, deployment and liquidation experience
- Excellent customer facing skills

- Bachelor's degree
- CompTIA A+, CompTIA Network+, Cisco/CCNA, Linux (Redhat), Microsoft hardware (installation), AWS, or other industry relevant certifications
- Experience supporting video conference and teleconference equipment
- Experience in Active Directory and Windows Server backup solutions
- Ability to write simple scripts in an administrative language
- Strong analytical skills with demonstrated problem solving abilities
- Proven ability to develop clear, concise change management and standard operating procedure (SOP) documentation

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.

In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.Key job responsibilities* Evaluate performance of the training infrastructure, diagnose problems and address any gaps that exist.
* Develop reliable infrastructure to schedule training and model evaluation jobs across clusters.
* Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs.
* Manage project prioritization, deliverables, timelines, and stakeholder communication.
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
* Operate in a dynamic environment to deliver high quality software.

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team

5+ 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
Excellent knowledge of theory and practice of MLPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the RoleYou Will- Design and build scalable infrastructure to train, deploy and manage ML models- Develop and automate software for ML workflows- Optimize cost and performance of training and inference workloads- Contribute to ML infrastructure roadmap planningPerks
* Medical, Dental, Vision & Disability Insurance
* 401(k)
* Maternity & Parental Leave
* Flexible PTO
* Amazon Employee Discount

- 3+ years of professional software development experience
- Experience designing and building scalable and easy-to-use ML infrastructure systems
- Experience productionizing, scaling or extending ML models to solve real world use cases
- Experience collaborating with ML platform consumers
- Excellent coding skills in modern languages and frameworks
- Experience with AWS technologies such as ECS, Sagemaker, Redshift, Batch, DynamoDB, Lambda, SQS, and Step Functions
- Minimum of Bachelor’s degree in Computer Science or equivalent experience

- Knowledge of supervised ML algorithms
- Experience in building and managing data platforms
- Familiarity with Twitch and/or streaming on TwitchPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.