Log InSign Up

Zoom Machine Learning Engineer Resume Examples

Photo of Brenna Goyette
Brenna Goyette
Certified Professional Resume Writer, Career Expert

Published 10 min read

This article provides detailed insights into crafting a compelling resume for the role of a Machine Learning Engineer at Zoom. It discusses critical elements to include such as specific technical competencies, relevant project experience, and key soft skills. The article also emphasizes how to highlight your proficiency in machine learning algorithms, data modeling, coding languages like Python or Java, and tools for data analysis. Additionally, it guides you on showcasing your problem-solving skills and ability to work in teams - crucial aspects that Zoom looks for in candidates. This information-packed guide is designed to help you tailor your resume effectively to stand out when applying for a Machine Learning Engineer position at Zoom.

Zoom Machine Learning Engineer Resume Created Using Our Resume Builder

Zoom Machine Learning Engineer Resume Example

Use This Template

PDF Version

Zoom Machine Learning Engineer Resume Example

Priscilla Batchelor, Machine Learning Engineer


(843) 767-6364

Richmond, VA

Professional Summary

Innovative Machine Learning Engineer with 1 year of experience in designing, building and deploying machine learning models. Proficient in Python, TensorFlow and Keras, with a solid understanding of machine learning algorithms. Demonstrated ability to work in team-oriented environments while effectively managing individual tasks and responsibilities. Proven track record of improving system operations and business intelligence by leveraging data-driven insights. Seeking to leverage machine learning and data analysis skills in a challenging role.

Work Experience

Machine Learning Engineer at Booz Allen Hamilton, VA

Apr 2023 - Present

  • Designed and implemented a predictive model for client's data with 95% accuracy, resulting in improved decision-making and a 30% increase in operational efficiency.
  • Led a team that developed an AI algorithm which reduced the time spent on data analysis by 50%, significantly increasing productivity.
  • Successfully identified and corrected system errors in machine learning algorithms, improving system performance by 40%.

Associate Machine Learning Engineer at Capital One, VA

Sep 2022 - Mar 2023

  • Developed a machine learning model that improved credit card fraud detection by 30%, saving the company approximately $2 million annually.
  • Led a team that used predictive analytics to enhance customer segmentation, resulting in a 25% improvement in targeted marketing efforts and a 15% increase in customer engagement rates.
  • Streamlined the loan approval process by implementing an automated decision-making algorithm, reducing processing time by 40% and boosting loan approvals by 20%.
  • Coordinated with data science team to develop and implement a real-time recommendation system for banking products, leading to a 10% increase in cross-selling.


Master's Degree in Machine Learning at University of Virginia, VA

Sep 2017 - May 2022

Relevant Coursework: Advanced Algorithms, Artificial Intelligence, Data Mining, Computer Vision, Natural Language Processing, Neural Networks, Deep Learning, Reinforcement Learning, Probabilistic Models, Statistical Machine Learning, Computational Statistics, and Big Data Analytics.


  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Keras
  • Pandas
  • Numpy
  • Matplotlib


  • Certified Machine Learning Specialist (CMLS)
  • Deep Learning Specialization Certificate

Tips for Writing a Better Zoom Machine Learning Engineer Resume

1. Highlight Relevant Skills: Zoom is a tech company, so it's crucial to highlight your technical skills. This includes machine learning, data science, software development, Python programming, and any other relevant skills.

2. Detail Previous Projects: If you have worked on any machine learning projects in the past, detail them on your resume. Mention the project's objectives, the technologies used, and your role in the project.

3. Show Your Experience with Collaboration Tools: Zoom is a remote communication tool, so showing that you are comfortable working remotely and using similar tools can be beneficial.

4. Certifications: If you have any certifications related to machine learning or data science from recognized institutions like Coursera or edX, mention them in your resume.

5. Use Action Verbs: Start each bullet point with action verbs such as 'developed', 'designed', 'implemented', etc., to make your contributions sound more impactful.

6. Quantify Achievements: Instead of just stating your responsibilities at previous jobs, try to quantify your achievements wherever possible e.g., "Improved machine learning model accuracy by 20%."

7. Tailor Your Resume for Zoom: Be sure to read the job description carefully and tailor your resume accordingly to match the required skills and qualifications.

8. Showcase Communication Skills: As a machine learning engineer at Zoom, you will need to communicate complex concepts to non-technical team members; hence showcasing good communication skills can give you an edge.

9. Include Keywords from Job Description: Make sure to include keywords from the job description in your resume; this will help get past any Applicant Tracking Systems (ATS) that may be in place.

10. Keep It Concise and Clear: Ensure that your resume is concise and clear; avoid jargon or overly complex language whenever possible.

11. Proofread: Don't forget to proofread before sending out your resume; spelling mistakes or grammatical errors can make a bad impression.

12. Include Continuous Learning Efforts: Machine learning is a rapidly evolving field so including any continuous learning efforts or upskilling initiatives undertaken by you could showcase your commitment towards staying updated with latest technologies and trends.

Related: Machine Learning Engineer Resume Examples

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

Applicant Tracking Systems (ATS) are used by many organizations, including Zoom, to streamline their recruitment process. These systems scan resumes for keywords related to the job description. For example, if you're applying for a Machine Learning Engineer position at Zoom, the ATS may look for keywords like "Python", "Data Science", "Machine Learning", "AI", and other relevant terms. By incorporating these keywords into your resume and cover letter, you increase the chances of your application being flagged as a strong match for the role. If these keywords are absent from your application materials, even if you have the right skills and experience, your application might be overlooked by the ATS. Therefore, understanding and using job-related keywords is crucial when applying for roles in companies that use an ATS like Zoom.

When applying for machine learning engineer positions at Zoom, you may encounter a list of common skills and key terms.

Key Skills and Proficiencies
Python ProgrammingStatistical Analysis
Data Modeling and EvaluationMachine Learning Algorithms
Advanced Signal Processing TechniquesNatural Language Processing (NLP)
Text AnalysisMultivariable Calculus & Linear Algebra
Probability and StatisticsDistributed Computing
Unix Tools (like sort, grep, awk) and Libraries (for example, boost)Proficiency in using query languages such as SQL
Experience with Deep Learning Frameworks like TensorFlow or PyTorch.Software Engineering Skills (Data Structures, Algorithms etc.)
Cloud Computing Platforms like AWS, Google Cloud or Azure.Data Visualization Skills
Knowledge of Big Data Platforms like Hadoop and Spark.Understanding of Reinforcement Learning.
Familiarity with Neural Networks.Proficiency in using ML libraries and packages such as NumPy, SciKit Learn.
Ability to stay updated with latest Machine Learning research.Strong communication skills to effectively collaborate with team members and stakeholders.

Related: Machine Learning Engineer Skills: Definition and Examples

Common Action Verbs for Zoom Machine Learning Engineer Resumes

Crafting a compelling Machine Learning Engineer resume for Zoom can be challenging, especially when it comes to diversifying the action verbs used. It's crucial to avoid repetition and utilize a variety of verbs that accurately depict your skills and experiences. These verbs are pivotal in painting a vivid picture of your abilities and achievements. They help to add dynamism to your resume, making it more engaging for the hiring personnel at Zoom. By strategically using different action verbs, you can effectively highlight your proficiency in machine learning concepts and tools, demonstrating how you've leveraged them to drive results in past roles or projects. In essence, varied and powerful action verbs can be instrumental in setting your resume apart and capturing the attention of potential employers at Zoom.

To provide you with a competitive advantage, we have assembled a list of potent action verbs that you can utilize to enhance your resume and secure your next interview:

Action Verbs

Related: What does a Machine Learning Engineer do?