Sr. Software Dev. Engineer, SageMaker JumpStart Builder Experience

Would you like full-stack ownership of SageMaker's front door? Are you interested in democratizing AI / ML and enabling customers to develop and distribute models of their own?, The common thread is that we own all things to do with model discovery, distribution, and governance. This team is the front door of AWS SageMaker, and is very strategically important to the overall business. We are looking for a talented Sr. SDE who will join and be a leader of the 2-pizza team which designs, develops, and maintains these features. This SDE will be full-stack, contributing to backend projects, but more importantly will be the owner of our customer-facing UI and SDK experiences. You will partner with other engineering teams, Product Managers, UX Designers, and Applied Scientists to directly improve the Customer Experience of our products, deliver customer-requested features, and increase Engineering and Operational Excellence. Your innovation will make a difference., * Obsess over Customers to provide a simple and secure experience and directly collaborate with these customers to make their lives easier

• Take Ownership of the customer experience to build for the long term and represent our team in discussions with the many other teams within SageMaker and beyond
• Invent and Simplify (both individually and by soliciting ideas from your team) to improve CX, OE, and EE
• Think Big to inspire and motivate the team to work on the most important problems. Don't limit yourself to components that our team directly owns
• Have Backbone; Disagree & Commit to advocate for your vision, but align with org priorities when partners or leaders have a different point of view
• Earn Trust of external customers, your team, and both partners by clearly communicating technical concepts, project status, and risks
• Deliver Results by continually launching new features quickly
• Insist on the Highest Standards for usability and accessibility as well as operational and engineering excellence
• Be Right; A Lot in your judgement of what customers need and how to deliver it
• Hire and Develop the Best SDEs and FEEs by mentoring and coaching teammates and partners

A day in the life

• As the primary owner of our team's UIs and SDKs, you will frequently disambiguate and estimate projects, campaigns, and operational issues
• Collaborate with UX Designers, Product Managers, and other engineers to propose, design, and deliver customer-facing features
• Collaborate with SDMs and PEs on roadmap planning and prioritization
• Lead project execution, taking the most complex parts yourself and delegating others to teammates
• Be an active participant in recurring mechanisms like standups, ops meetings, and status reporting
• Lead by example and actively mentor teammates to increase their performance and reach their career goals

About the team Our team owns several distinct components as described above, but you can distill the overall charter down to making it easy and fast for customers to use the latest and greatest ML models. In this role, you will own the end customer experience of our products -- the UIs, SDKs, and backing services of multiple customer-facing products.

You are part of a broader org consisting of ~20 SDEs and 2 SDMs, all in NYC.

5+ years of non-internship professional software development experience

• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience, 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• 4+ years of full stack development experience

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 184,900.00 - 250,200.00 USD annually

Amazon SageMaker is a suite of AWS services which enable customers to build, train, and deploy Artificial Intelligence (AI) and Machine Learning (ML) models with fully managed infrastructure, tools, and workflows. Our team owns several important parts of SageMaker: 1. SageMaker JumpStart, a collection of ~700 pre-trained and validated models and algorithms which customers can simply grab off a shelf and use. Customer facing UIs in SageMaker Studio and AWS Console, Python and JavaScript SDKs, and Services make discovery and usage of these models easy. SageMaker can be overwhelming for a new user, so you can think of JumpStart as the landing page and introduction to SageMaker, where we provide sensible defaults and examples to enable customers to get started in a few minutes with only a few clicks. 2. SageMaker Repository Services including Model Registry which allows customers to register models for discovery and usage by entitled end users. This service also handles distribution of Model Packages from AWS Marketplace to all SageMaker regions, so that model providers can list a product once but end users can access it quickly everywhere. 3. SageMaker Model Cards which provides a governance view of custom models to determine if/when/where they may be safely and appropriately used. 4. SageMaker Projects which provides CI/CD templates to create ML workflows and allow customers to define and distribute custom templates for the same. 5. Nova Escrow which provide secure storage and distribution of Amazon's Nova model artifacts and customer artifacts like fine-tuned versions of these models.