AWS Foundational Data Services (FDS) Santa Clara Team

The FDS Santa Clara team is responsible for enabling customers to run their critical workloads in the cloud. The team delivers high-performance applications and solutions for customers, helping them modernize applications they run on AWS and achieve cost savings, security, scalability, and resiliency. The team also provides customers the ability to modernize their applications via refactoring, replatforming, and rehosting techniques.

ML Engineer Role

We are seeking an ML Engineer to experiment with ML algorithms and tools, select appropriate datasets and data representation methods, perform feature engineering, model selection and validation, run machine learning tests and benchmarking, perform fine-tuning using test results, train and retrain systems, and build prototypes. The ML-focused SDE should understand deploying ML models to production, building components in a service, consider multiple design approaches, and make appropriate trade-offs for data and model parallelism at scale. The ML-focused SDE should sufficiently be able to actively participate in technical and customer discussions within the team.

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations—from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry.

About AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating—that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.

Key Job Responsibilities

• You demonstrate independence in ML model development applying a range of ML tools and algorithms.
• You demonstrate your ability to solve difficult problems with visible risks or roadblocks.
• You have proficiency with the major lifecycle of software and ML model development.
• You collaborate with data scientists and engineers in providing data engineering support.
• You are active in review processes on your team (e.g., code reviews).
• You make improvements to your team’s development and experimentation processes.
• You communicate effectively to your team about the work you deliver.
• You mentor new teammates and/or interns.

Basic Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture of new and existing systems experience
• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle experience
• Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. For individuals with disabilities who would like to request an accommodation, please visit here.

Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff, and communicating effectively.

Our compensation reflects the cost of labor across several US geographic markets. For more information, please visit here. This position will remain posted until filled. Applicants should apply via our internal or external career site.