Machine Learning Engineer , EC2-Commercial Software Services Full-time

Amazon’s Elastic Compute Cloud (EC2) team is responsible for enabling customers to run their critical workloads in the cloud. EC2 team also provides customers ability to modernize their applications via refactoring, replatforming and rehosting techniques. In the refactoring space, 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.

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

BASIC QUALIFICATIONS

* 3+ years of non-internship professional software development experience

* 3+ years of programming with at least one software programming language experience

* 3+ years of design or architecture (design patterns, reliability and scaling) of new and existing systems experience

PREFERRED QUALIFICATIONS

* 3+ years of demonstrated proficiency with the major lifecycle of software and ML model development including design, coding, model experimentation, tuning and model validation

* 3+ years of demonstrated independence in ML model development applying a range of ML tools and algorithms

* 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.

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.