Software Development Manager, AWS SageMaker Training at Amazon
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AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business, we’re building the next-generation AI platform to accelerate their development. We’re seeking a dedicated engineering leader to drive building our next-generation AI compute platform that’s optimized for LLMs and distributed training.
Key job responsibilities
We are seeking a Software Development Manager for our SageMaker team. As an engineering Leader you will lead and own the innovation in the space of ML Infra for enabling large scale model training, building compelling functionality and new capabilities for the Amazon SageMaker Hyperpod and SageMaker Training.
You will be responsible for leading a team of Software/ML engineers in design, development, test, and deployment of ML platform. A successful candidate will have an established background in machine learning algorithms and developing ML services, excellent project leadership skills, great communication skills, and a motivation to achieve results in a fast paced environment.
A day in the life
* Responsible for the over-all systems development life cycle Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
* Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team
* Work closely with the engineers to architect and develop the best ML algorithm design and approach
* Report on status of development, quality, operations, and system performance to management
* Customer engagement and product road map definition
About the team
Diverse Experiences
AWS 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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business, we’re building the next-generation AI platform to accelerate their development. We’re seeking a dedicated engineering leader to drive building our next-generation AI compute platform that’s optimized for LLMs and distributed training.
Key job responsibilities
We are seeking a Software Development Manager for our SageMaker team. As an engineering Leader you will lead and own the innovation in the space of ML Infra for enabling large scale model training, building compelling functionality and new capabilities for the Amazon SageMaker Hyperpod and SageMaker Training.
You will be responsible for leading a team of Software/ML engineers in design, development, test, and deployment of ML platform. A successful candidate will have an established background in machine learning algorithms and developing ML services, excellent project leadership skills, great communication skills, and a motivation to achieve results in a fast paced environment.
A day in the life
* Responsible for the over-all systems development life cycle Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
* Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team
* Work closely with the engineers to architect and develop the best ML algorithm design and approach
* Report on status of development, quality, operations, and system performance to management
* Customer engagement and product road map definition
About the team
Diverse Experiences
AWS 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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.