Amazon Corporate LLC Sr. Software Development Engineer in New York, New York
The Amazon Web Services Analytics & ML team is one of the most dynamic, rapidly-growing teams; and is the leader in Data Analytics and ML services that help companies (from early-stage startups to large enterprises) innovate across the globe.
We are seeking a seasoned software development engineer to build new "Applied Machine Learning" capabilities which will add material improvements to our customers' data analysis experiences. The ideal candidate is an engineer accomplished in technology delivery, product innovation, and working in high-performing, multi-functional teams capable of defining and delivering solutions that unblock transformational business value for our customers. In this role, you will collaborate with a broad organization of software developers, product managers, UX designers, subject matter experts, solutions architects, usability researchers. You will build and deliver architecturally and operationally sound, scalable, and resilient applied ML solutions in the exciting fields of deep learning, natural language processing, and graph ML.
Each Analytics & ML team is like a start-up. As a software development engineer in this fast and exciting space, you and your collaborators will own early development for new offerings as well as growth for existing offerings. This is an opportunity to contribute to the product vision and get in on the ground floor with a fast-growing and dynamic team. In this position, you will be required to build solid components while mentoring and developing the best engineers (data engineers, MLOps engineers, software development engineers). A successful candidate will have a demonstrated ability to think strategically and analytically about a product and its technical challenges, with the ability to build and convey compelling value into software; work cross-organizationally to deliver results, and dive technically deep to lead engineering decisions. You will engage and influence engineers and leaders on product vision and technical implementation activities.
Key job responsibilities
\* You will translate functional and technical requirements into technology strategies and solutions
\* You will own and lead software architecture
\* You will interact with stakeholders including applied ML scientists, product managers and engineers.
\* You will drive architectural and system design reviews
\* You will drive system-wide views and provide design guidance to other engineers
\* You will drive engineering best-practices including security, quality, and operational excellence
\* You will mentor other engineers, help define our technical culture and contribute to building a fast-growing team
A day in the life
We tackle complex challenges in multiple industries by taking ML from research ideas into production-grade services. This is a unique and evolving set of challenges that will improve both your theoretical understanding of core machine learning processes, as well as your ability to think about large-scale distributed MLOps systems serving many customers. Software engineers at Amazon are empowered builders using technology to solve hard problems. You will be working on systems handling large datasets, beyond the conventional scalability limits. You will collaborate with data scientists and create new technologies that derive patterns from data.
About the team
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 we 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.
\* 5+ years of relevant software development experience
\* 3+ years of architecture and design of software systems
\* Bachelors in Computer Science or Engineering, or equivalent experience
\* Ability to mentor junior engineers and influence technical designs of the team
\* Strong computer science fundamentals in design, data structures, algorithm design, problem solving, and complexity analysis
\* Proven expertise in building high-performance, scalable, fault-tolerant systems that reduce operational cost
\* Experience translating design mockups and prototypes into working application designs.
\* Experience in dealing with ambiguity and making data-driven decisions
\* Ability to take ownership of projects and drive tasks to completion
\* Ability to mentor junior engineers
\* Strong written and verbal communication skills
\* Strong theoretical fundamentals in Machine Learning
\* Motivated to drive tasks to completion and take ownership of projects
\* Demonstrated passion about technology, have a strong interest in learning about and playing with the latest technologies.
\* Experience communicating with users, other technical teams, and senior management to iterate on customer needs, describe software product features, technical designs, and product strategy
\* Experience with AWS
\* Ability to work in a fast paced and agile development environment.
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.