Machine Learning Engineer , Commercial Software Services

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ 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

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
AWS Foundational Data Services (FDS) Santa Clara team is responsible for enabling customers to run their critical workloads in the cloud. The FDS Santa Clara 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 . Team also provides customers ability to modernize their applications via refactoring, replatforming and rehosting techniques. We are seeking a 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 such as participating in code reviews, design discussions, operational reviews, and working backwards exercises with customers, peers and stakeholders.

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. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for

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. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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 empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


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 that contain visible risks or roadblocks. You have solved problems without immediately obvious solutions, though the solution may appear obvious in hindsight.
* You have demonstrated your proficiency with the major lifecycle of software and ML model development including design, coding, model experimentation, tuning and model validation.
* You collaborate with data scientists and engineers in providing data engineering support and integrate with managed ML services. You are also capable of deploying ML models to an integration or production environment.
* You are active in review processes on your team (e.g., code reviews), providing meaningful feedback to others, including more senior engineers. You seek feedback on your own work actively and early enough to be actionable.
* 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 to help them become productive contributors