Our mission: To be Earth's most customer-centric company.
Are you excited about Machine Learning, Natural Language Processing, Deep Learning and Computer Vision algorithms and their application to real world problems? Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Do you want to build a foundation for your career after your Master’s or PhD program at an industry-leading company?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.
As part of PyTorch/TorchServe team (https://github.com/pytorch/serve) , you will work as part of the AWS Deep Learning Engineering team on optimizing PyTorch for training, inference, and serving on AWS infrastructure. This includes staying current with the latest features in the open source PyTorch project, developing performance, scalability, security, and privacy capabilities for cloud and edge deployments, contributing and maintaining key features such as the XLA compiler and TorchServe model server in the PyTorch open source community, and working closely with AWS customers to enable their usage in production at scale.
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.
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.
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 and thorough, but kind, code reviews. 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.
Key job responsibilities
As a Sr. Software Development Engineer in PyTorch/TorchServe team you will be responsible for the major portion of existing and/or new team software. List of responsibilities includes but is not limited to creating and modifying a large or significant set of components, application, or service. You will be leading the team in design and innovation to solve difficult problems in Deep Learning space.
- 4+ years of professional software development experience
- 3+ years of programming experience with at least one software programming language
- 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
- Experience as a mentor, tech lead OR leading an engineering team
- Master’s Degree or P.hD in computer science, statistics, engineering, mathematics, or related field.
- Specialization in any one of – machine learning, NLP, ASR, deep learning, computer vision, or related fields.
- Experience with machine learning/deep learning frameworks and libraries (any of TensorFlow, PyTorch, MXNet, Chainer, Caffe, Scikit, etc.)
- 7 years of professional experience in the field.
- Experience in High Performance Computing.
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.
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.