דרושים General Counsel ב-United States, New York, New York

About the RoleAs a Senior Engineering Manager, Identity, you will partner with other engineering managers, technical program managers, and product management to modernize and reimagine Twitch’s Identity stack to delight our customers. Reporting to the Director of Identity, Privacy, and Security Platforms, you will lead a team of 8 engineers as you bring operational maturity and excellence to the team’s authentication and authorization systems.You Will- Encourage others to do excellent work through your leadership.
- Attract, grow, and retain excellent software engineers.- Extend, scale, and redefine the Twitch Identity Platform.
- Drive operational excellence Identity’s authentication and authorization systems.

- 3+ years of experience as an engineering manager
- 5+ years of experience in software development
- Experience running the day-to-day operations of software engineering projects of significant complexity
- Experience in hiring and developing engineers under your supervision
- Experience gathering feedback from customers to inform engineering prioritization
- Background in authentication and authorization systems

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

Key job responsibilities- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch

Key job responsibilities- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
A day in the life
On a typical day as a Senior System Development Engineer (SysDev), you will collaborate with internal service teams to enhance system health, maintainability, and operational efficiency. Your work will involve improving tooling and product builds, ensuring that our systems run smoothly and effectively. Additionally, you will tackle complex technical challenges faced by our customers, providing global solutions to these advanced problems. As part of the Amazon Dedicated Cloud community, you may also be required to offer on-call support across various End User Compute technology stacks, ensuring that our services remain reliable and robust.The primary focus of the team is on the growth and delivery of the WorkSpaces and AppStream services. Working in a high-trust environment, you will partner closely with internal service teams to quickly resolve issues through code, driving positive customer experiences. The team was formed in response to the significant growth of related services in recent years, highlighting the need for agility and a proactive approach to solving emergent challenges.In this role, you will be solving problems that directly impact the performance and reliability of our cloud services. You will work with a variety of internal stakeholders, including other engineers, product managers, and support teams, to ensure that our solutions meet the needs of our customers. The end goal is to maintain the high standards of service that AWS is known for, while continuously improving and innovating to stay ahead of industry demands.Why AWS
Utility Computing (UC)Work/Life Balance
Mentorship 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.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.

- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Experience with distributed systems at scale
- Experience building services using AWS products
- Experience working in an Agile environment using the Scrum methodology
- Experience working with Kubernetes or other container orchestration technology

Key job responsibilities- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch

The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and world-famous scientists.Key job responsibilities
- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research

- PhD, or Master's degree and 5+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of industry or academic research experience
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Relevant Generative Artificial Intelligence (GenAI) research experience with LLMs and multimodalities
- For system researchers, familiarity with deep learning compilers, auto-parallelization, and XLA/MLIR ecosystems