1 day ago
Base Salary
$144k - $194k/yr
Responsibilities
- Design and build scalable ML inference pipelines with scientists and engineers.
- Architect and improve metadata systems for tracking workflows and outputs.
- Evaluate and integrate generative AI tools while applying responsible AI practices.
- Participate in requirements gathering, design, implementation, testing, deployment, and operations.
- Conduct code reviews, mentor teammates, and document software for maintainability.
Requirements
- Bachelor's degree or equivalent.
- At least 3 years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- At least 3 years of programming experience with a modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby.
- At least 3 years of experience with AWS technologies such as Batch, S3, Lambda, CloudFormation, and SQS.
- Preferred: master's degree in Computer Science, Bioinformatics, Genomics, or a related field.
- Preferred: at least 3 years of experience with scientific software, bioinformatics tools, high-performance computing, or data visualization libraries such as Plotly, Altair, or D3.
- Preferred: experience with NoSQL, PostgreSQL, or other relational databases, along with strong analytical, communication, and attention-to-detail skills.
Benefits
- Comprehensive benefits include medical, dental, vision, prescription, life and AD&D insurance, an employee assistance program, mental health support, a medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- The compensation package may include sign-on payments and restricted stock units.
Categories
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.