Work from home amazon jobs – US

AWS Inferentia is Amazon’s first custom silicon designed to accelerate deep learning workloads in the cloud. Powered by AWS Neuron, an SDK with infrastructure and profiling tools, enables complex neural net models, created and trained in popular frameworks such as TensorFlow, PyTorch, and MXNet, to be executed using Inferentia-based Inf1 instances.

We’re hiring software engineers for the Inferentia-accelerated Deep Learning Team to help customers easily migrate their ML applications to Neuron and run high-performance search recommendation, computer vision, speech recognition, personalization, fraud detection, and natural language processing models with In ferentia.

No other posts or pages published on this day.

As part of the team, you’ll be building highly visible, robust automation tools and to tackle hard to solve problems. Working backwards from customer needs, you will identify the right sets of tools to build to achieve the best quality and customer experience. You will drive test automation efforts for critical and complex technical projects spanning multiple teams and Amazon businesses. You will be responsible for driving improvements in test tools, test environments and reporting mechanisms as well as influence the implementation of the right solutions.

You will also be owning the design and code modules for infrastructure, application, and processes to help us build the Machine Learning training and inference platforms.

About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 2+ years of non-internship professional software development testing experience
• 1+ years of test automation frameworks and tools building experience
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience in penetration testing and exploitability-focused vulnerability assessment
• Experience in platform-level security mitigations and hardening for Linux and Windows

PREFERRED QUALIFICATIONS

• Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
• Experience with security in service-oriented architectures and web services

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/year in our highest geographic market.

Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.