דרושים Mts-software Engineering Agi ב-אמזון ב-United States, San Francisco

We have an immediate opening for a Field Engineer in the San Antonio, TX region.As an Amazon Field Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the ‘go to’ engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:- Perform design and equipment submittal review for new Data Centers in your region.
- Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
- Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
- Own the design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency.- Work on concurrent projects, sometimes in multiple geographical regions.- Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.Must have a valid US driver's license and reliable personal transportation by start date.This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities
* Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity.* Are detail and data oriented?* Have experience solving problems with engineered solutions.* Have experience managing engineering projects and consultants.* Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers).* Are adaptable and inclined to get into the field to see things up close.* Excited about a mix of office and field work.A day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you!
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.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.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.

- Bachelor’s Degree in Electrical Engineering or equivalent experience.

- Organized and have the ability to set priorities and meet deadlines and budget and experience using a variety of web based and other software tools for calculation and data processing.- Direct experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers.- Experience as resident engineer or hands-on (in the field) design consultant or owner’s engineer and knowledge of building codes and regulations for your region.- Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents. and ability to carry design concepts through exploration, development, and into deployment/mass production- Basic understanding of both mechanical and/or electrical equipment/design related to data centers (Including but not limited to: uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers [air-cooled and water-cooled], pumps, cooling towers, heat exchangers, CRAHs, fans, air economizers, water treatment, etc...), and EPMS/SCADA/BMS Controls system experience (software and/or hardware)

Key job responsibilities
- Design and implement highly scalable and realistic simulation environments for training agents using reinforcement learning.
- Develop and deploy generative AI approaches to automate the creation of diverse and complex simulation environments and scenarios.
- Analyze, troubleshoot, and profile complex machine learning systems within the simulation context, identifying and resolving performance bottlenecks.

- PhD, or Master's degree or 5+ years of applied research experience
- Experience programming in C++, Python or related language
- Experience with simulation and synthetic data generation
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Machine Learning, or a related field
- 3+ years' experience building machine learning models (includes internships)
- Demonstrated experience in developing and implementing simulation environments or synthetic data generation for reinforcement learning.
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teamsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
You will contribute directly to AI agent development in an applied research role, including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff.

- 3+ years' experience building machine learning models
- Proficiency in Python, Java, C++, or related language
- Experience with deep learning methods and tools, e.g., PyTorch, JAX

- PhD or Master's degree in computer science or related field
- Strong background in scientific research with a proven ability to generate and implement new ideas in machine learning
- 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
- Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- Ability to think big about the arc of development of AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- Capacity to mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the teamPursuant 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.

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.

About the RoleYou can work in San Francisco, CA; Irvine, CA.You Will
- Be responsible for the growth, development, and performance management of software engineers under your leadership
-Contribute to strategic planning and partner with product managers and technical program managers to develop a strong vision for Twitch’s video platform

- 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 leadership

- Experience with languages/frameworks we use at Twitch: Golang, Typescript/React
- Familiarity with video delivery concepts and systems
- Familiarity with Twitch, gaming, and/or streaming on TwitchPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.