Amazon SageMaker Studio is the world’s first fully integrated development environment tailored for machine learning, and is growing rapidly to be the tool of choice for machine learning scientists and practitioners all around the world. All ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection can be performed within SageMaker Studio. While experimenting with different combination of inputs to fine tune models, users can launch an experiment leaderboard alongside their notebooks to track, sort, and rank all the experiments. Amazon SageMaker Studio supports many popular frameworks for deep learning such as TensorFlow, Apache MXNet, PyTorch, and more. We are looking for talented software development/ML engineers to build brand new integrated development editor support offering a variety of development languages and ML technologies.
Key job responsibilities
As a software development engineer on the Amazon SageMaker Studio IDE team, you’ll own the Notebook authoring and data scientist IDE experience for AWS ML. You will build/support state-of-the art IDEs on Studio, both web-based and local. Users can choose their preferred IDE on Studio, which will serve as the single place of development environment where users can create experiments, build and evaluate models, debug performance issues, compare experiments, and deploy models. Your team's mission is to provide a highly scalable and collaborative data science workbench where any data scientist, developer, or student can launch a wholly configured and collaborative workspace in the cloud.
A day in the life
You will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will also partner with other ML teams to help invent, implement, and connect sophisticated algorithms to our cloud based engines. Prior domain knowledge including AI and ML is preferred, though not required.
However, strong motivation to learn ML and AI is critical for successful candidates.
Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.
Additional responsibilities include:
• Designing, developing and maintaining core system features, services and engines
• Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product
• Working with external customers, scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility
• Operating in an Agile/Scrum environment to deliver high quality software
About the team
Amazon SageMaker is the world’s first fully integrated development environment tailored for machine learning, and is growing rapidly to be the tool of choice for machine learning scientists and practitioners all around the world. SageMaker Studio is our flagship ML IDE for ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection. We are looking for talented engineers to build the next generation IDE. We show pride in an inclusive environment that celebrates knowledge sharing, mentorship, and career growth.
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 16 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
Key job responsibilities
As a software development engineer on the Amazon SageMaker Studio IDE team, you’ll own the Notebook authoring and data scientist IDE experience for AWS ML. You will build/support state-of-the art IDEs on Studio, both web-based and local. Users can choose their preferred IDE on Studio, which will serve as the single place of development environment where users can create experiments, build and evaluate models, debug performance issues, compare experiments, and deploy models. Your team's mission is to provide a highly scalable and collaborative data science workbench where any data scientist, developer, or student can launch a wholly configured and collaborative workspace in the cloud.
A day in the life
You will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will also partner with other ML teams to help invent, implement, and connect sophisticated algorithms to our cloud based engines. Prior domain knowledge including AI and ML is preferred, though not required.
However, strong motivation to learn ML and AI is critical for successful candidates.
Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.
Additional responsibilities include:
• Designing, developing and maintaining core system features, services and engines
• Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product
• Working with external customers, scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility
• Operating in an Agile/Scrum environment to deliver high quality software
About the team
Amazon SageMaker is the world’s first fully integrated development environment tailored for machine learning, and is growing rapidly to be the tool of choice for machine learning scientists and practitioners all around the world. SageMaker Studio is our flagship ML IDE for ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection. We are looking for talented engineers to build the next generation IDE. We show pride in an inclusive environment that celebrates knowledge sharing, mentorship, and career growth.
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 16 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA