Ai Research Scientist jobs at Amazon

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
Key job responsibilities
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.

- 5+ years of non-internship professional software development experience
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.
- Experience programming with at least one software programming language

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Masters degree in computer science or equivalent

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
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems

Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
About 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.
Why AWS?Inclusive Team CultureMentorship & 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

- 1+ years of computer hardware experience, including troubleshooting and repairing experience
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment

- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data

Key job responsibilities
The Software Engineer will contribute to the definition, development, integration, test, documentation, and support of ReactNative, Java & C++ software across multiple digital surfaces for Kindle Readers and Applications.​ This hands-on position will engage your engineering capabilities and technical knowledge of software development while developing experience successfully planning, organizing, and conducting software development projects in a dynamic environment.- Responsible for the architecture of software solutions, working with and improving on current limitations and compatibilities between subsystems, building new concepts and methodology, and the development of major routines and utilities.
- Designing and Building new features that are highly performant
- Preparation of technical requirements and software design specifications.
- Understanding the internals of graphics subsystems.
- Instilling best practices for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules.
A day in the life- ship and review C++, ReactNative or Java for reading features on Kindle E-Reader
- root cause issues and propose solutions

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

- 3+ 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
- Experience programming with C++.

Key job responsibilities
You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role.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.About AWSWork/Life Balance
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.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ 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

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

Amazon is looking for a talented Postdoctoral Scientist to join its AI Research on foundation models, large-scale representation learning, and distributed learning methods and systems for a one-year, full-time research position. At Amazon, you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. 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 and work with other acclaimed engineers and world famous scientists.Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantizationIn this role, you will have the opportunity to:
- Leverage machine learning models and advanced statistical techniques to extract valuable insights from historical data and comparable item information.
- Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.
Key job responsibilities
In this role you will:• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

* PhD in a relevant field, received within 2 years of starting the program.* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Operations Research, Economics, or other related technical fields.* Experience in data science and quantitative research.* Proficiency in technologies relevant to the sub-field.

* Ability to independently deliver results in a fast-paced environment.* Publications at top-tier, peer-reviewed conferences and/or journals.* Exceptional verbal and written communication skills.* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies.Required application materials:* CV, which lists all peer-reviewed publications and conferences.* Research statement that outlines your research achievements and future research interests.* A journal article or book chapter that demonstrates your domain expertise.