layiq
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Amazon
Seattle, WA
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
Are you excited about building software that helps scientists unlock new insights from data? As a Software Development Engineer on our team, you will design and deliver systems at the intersection of machine learning and the life sciences. We are scaling our model and method execution infrastructure to generate, analyze, and deliver growing quantities of data to customers — and we need a collaborative, curious engineer to help us get there.
You will work alongside scientists, engineers, and product managers in a startup-like environment where your contributions directly shape products that reach customers and accelerate scientific discovery.
Key job responsibilities
Design and build scalable ML inference pipelines in collaboration with scientists and engineers, ensuring reliable model execution as data volumes grow.
Architect and improve database systems that store metadata about workflows and their outputs, balancing performance, maintainability, and extensibility.
Drive improvements to system performance and reliability so customers receive results quickly and accurately.
Participate in and contribute to every phase of the software development lifecycle — from requirements gathering and design through implementation, testing, deployment, and operations.
Conduct thorough code reviews, mentor teammates, and document your software so the broader team can maintain and extend it confidently.
Our team sits at the intersection of machine learning and the life sciences, building products that turn complex scientific models into actionable results for customers. We are investing in scaling our execution infrastructure to handle rapidly growing data, and this is a pivotal moment to join and shape that trajectory.
We are dedicated to supporting every team member's growth. Senior engineers provide one-on-one mentoring and thoughtful code reviews, and we assign projects with an eye toward helping each person develop into a more well-rounded engineer. We value flexibility, knowledge sharing, and an inclusive environment where every voice is heard.
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, WA, Seattle - 143,700.00 - 194,400.00 USD annually
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