Amazon SageMaker is looking for a Sr SDE for its Inference Experience Team. You will be responsible for building and operating services that will revolutionize how customers build, deploy and operate their ML models on SageMaker. The team owns the charter of providing best inference experience in the world; the team will provide superior inference experience by building value added ML capabilities like Model Monitoring, helping customers host cost efficient yet performant models and building state of the art interactive user experience among other things.
You will be working in a fast-paced, cross-disciplinary team of engineers and researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will deliver these to production in customer facing products.
A successful candidate will have an established background in developing distributed systems, passion for innovation, strong technical ability, great communication skills, and motivation to achieve results in a fast paced environment.
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.
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 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
- Assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture.
- Engage with Product Managers, ML Researchers, Customers
- Serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers
- - You'll be well supported with by a group with deep technical chops, including multiple senior and principal engineers.
- 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- 4+ years of professional software development experience
- 2+ years of experience as a mentor, tech lead OR leading an engineering team
Experience building complex software systems that have been successfully delivered to customers•
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations•
Ability to take a project from scoping requirements through actual launch of the project•
Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
Deep hands-on technical expertise in: large scale systems engineering; building and operating complex distributed systems
Experience with Machine Learning, data mining, and/or statistical analysis tools such as R and MATLAB is a plus•
Master's degree in Computer Science, Computer or Electrical Engineering
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Software and Programming