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Amazon Machine Learning Engineer Resume Examples

This article provides resume examples and tips for Amazon Machine Learning Engineers looking to create a stand-out resume that will help them land their dream job.

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Brenna Goyette
Certified Professional Resume Writer, Career Expert

Published 8 min read

This article will provide a comprehensive guide to writing a resume for an Amazon Machine Learning Engineer position. It will cover topics such as what skills and experience to highlight, which keywords to include, and how to demonstrate your knowledge of machine learning technologies. It will also provide advice on how to stand out from other applicants and make the most of your resume in order to secure an interview.

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Amazon Machine Learning Engineer Resume Example

Kaye Schlautman, Machine Learning Engineer

kaye.schlautman@gmail.com

(317) 030-3920

Boston, MA

Professional Summary

I am a Machine Learning Engineer with over 3 years of experience in creating products and applying machine learning technologies. I have worked on a wide range of projects, ranging from natural language processing to computer vision and recommendation systems. I have developed complex machine learning models and algorithms, created data pipelines, and optimized machine learning models for both accuracy and speed. I have experience with various machine learning frameworks such as TensorFlow, Keras, Scikit-learn, and PyTorch. I am passionate about using machine learning to solve real-world problems and have a strong focus on model accuracy, scalability, and reliability.

Work Experience

Lead Machine Learning Engineer at Microsoft Corporation, MA

Oct 2022 - Present

  • Developed an AI-based system for natural language processing (NLP) that increased accuracy by 20%, resulting in a 30% reduction of manual labor hours spent on the project.
  • Led a team of 5 engineers to develop and implement ML models with complex data sets, achieving 95% predictive accuracy rate within 2 months.
  • Created algorithms to improve sentiment analysis classification results from 70% precision/recall scores up to 85%.

Senior Machine Learning Engineer at Amazon Web Services, MA

Jul 2020 - Sep 2022

  • Developed a machine learning algorithm that improved the accuracy of Amazon Web Services’ customer sentiment analysis by 30%, resulting in more precise recommendations and better user experience.
  • Led an initiative to create automated tools for data pre-processing, reducing manual labor required from 10 hours per day down to 1 hour per week.
  • Implemented deep learning models which predicted product trends with an average 80% precision rate across all categories on Amazon Marketplace, enabling targeted marketing campaigns based on accurate predictions.

Education

Bachelor of Science in Machine Learning Engineering at Worcester Polytechnic Institute, MA

Sep 2015 - May 2020

Relevant Coursework: Calculus, Linear Algebra, Probability and Statistics, Programming, Algorithms, Machine Learning, Artificial Intelligence, and Data Science.

Skills

  • Programming
  • Data Analysis
  • Algorithm Design
  • Machine Learning Theory
  • Statistical Modeling
  • Artificial Intelligence
  • Database Management

Certificates

  • Certified Machine Learning Engineer (CMLE)
  • Certified Artificial Intelligence Professional (CAIP)

Tips for Writing a Better Amazon Machine Learning Engineer Resume

1. List your Amazon Machine Learning (ML) experience: Make sure to include all of your experience with ML, including any courses you’ve taken and projects you’ve completed. Be sure to include the technologies you used, as well as any results or accomplishments.

2. Highlight key skills: Showcase your expertise in ML by highlighting key skills such as data analysis, predictive modeling, algorithm development, and software engineering.

3. Include relevant certifications: If you have any ML-related certifications, make sure to list them on your resume. This will demonstrate your commitment to staying current with the latest trends and technologies in the field.

4. Use keywords: When creating a resume for an ML engineer position, it is important to use industry-specific keywords so that recruiters can easily identify your skills and experience. Research companies and job postings to see what keywords they are looking for in applicants before writing your resume.

5. Proofread carefully: Before submitting your resume, be sure to proofread it several times for typos or grammatical errors that could make a poor impression on potential employers.

Related: Machine Learning Engineer Resume Examples

Key Skills Hiring Managers Look for on Amazon Machine Learning Engineer Resumes

The use of Applicant Tracking Systems (ATS) by companies such as Amazon has made it increasingly important for job seekers to incorporate keywords from the job description when applying for a machine learning engineer position. ATS is used to quickly scan resumes and CVs to identify relevant keywords that match the requirements of the role. By including these keywords in your application, you can ensure that your resume or CV is properly read and considered by the ATS. Additionally, using keywords makes it easier for recruiters and hiring managers to quickly evaluate whether you are qualified for the role.

When applying for a Machine Learning Engineer position at Amazon, you should be familiar with the common skills and key terms listed below.

Key Skills and Proficiencies
PythonData Analysis
AlgorithmsMachine Learning
Deep LearningTensorFlow
KerasScikit-Learn
NLP (Natural Language Processing)Computer Vision
StatisticsData Mining
Data VisualizationNeural Networks
Model OptimizationBig Data Technologies
Cloud ComputingLinear Algebra
CalculusProbability & Statistics
Database Management SystemsReinforcement Learning

Related: Machine Learning Engineer Skills: Definition and Examples

Common Action Verbs for Amazon Machine Learning Engineer Resumes

Finding the right action verbs to use on a resume can be difficult, especially when creating an Amazon Machine Learning Engineer Resume. It's important to use varied verbs in order to emphasize your skills and accomplishments. Using the same words over and over again can make your resume sound dull and uninspiring. To create an effective Amazon Machine Learning Engineer Resume, you should select words that accurately describe your skills and experience, such as design, develop, implement, analyze, optimize, troubleshoot and configure. These verbs help demonstrate your technical abilities and show potential employers that you have the experience needed for the job.

To give you an advantage in the job market, we've compiled a list of powerful action verbs that will strengthen your resume and help you get your next interview:

Action Verbs
DevelopedImplemented
OptimizedAnalyzed
DesignedTrained
DeployedMonitored
AutomatedDebugged
CreatedEvaluated
VisualizedRefined
TunedTested
ResearchedCoded
IntegratedDocumented
MaintainedImproved

Related: What does a Machine Learning Engineer do?