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LinkedIn Machine Learning Engineer Resume Examples

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

Published 10 min read

This article provides a comprehensive guide on crafting an impactful LinkedIn resume specifically tailored for the role of a Machine Learning Engineer. It offers valuable insights into incorporating relevant keywords that will enhance visibility, articulating past experiences and projects in machine learning, and highlighting specific skills such as programming languages and data analysis. The article also discusses the importance of detailing your understanding of machine learning algorithms, your ability to design and implement ML models, and your experience with libraries/frameworks like TensorFlow or Keras. It emphasizes the necessity to showcase soft skills like problem-solving abilities, teamwork, and communication alongside technical expertise. Moreover, it suggests ways to demonstrate continued learning and passion for emerging AI technologies through certifications or personal projects.

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LinkedIn Machine Learning Engineer Resume Example

Deaisa Hennion, Machine Learning Engineer


(383) 737-2676

Wichita, KS

Professional Summary

Motivated Machine Learning Engineer with 1-year experience in developing and implementing machine learning models and algorithms. Proficient in Python, R, and SQL with hands-on experience in data analysis and statistical modeling. Proven ability in using predictive modeling to solve complex issues and drive business decision-making. Excellent problem-solving abilities, team collaboration skills, and a strong drive for professional development in AI and machine learning technologies.

Work Experience

Machine Learning Engineer at Cerner Corporation, KS

Apr 2023 - Present

  • Led the development of a predictive model that improved the accuracy of patient diagnosis by 40%, resulting in better patient care and outcomes.
  • Successfully automated the data extraction process, reducing manual work by 60% and increasing efficiency across the team.
  • Implemented an advanced machine learning algorithm that optimized the healthcare supply chain, cutting costs by 30% and saving the company over $1 million annually.

Associate Machine Learning Engineer at Garmin International, KS

Jul 2022 - Feb 2023

  • Led a team in developing an adaptive learning algorithm that improved Garmin's navigation system efficiency by 35%.
  • Successfully implemented machine learning models into Garmin's wearable technology, resulting in a 20% increase in user activity tracking accuracy.
  • Reduced data processing time by 40% by optimizing machine learning algorithms for Garmin's aviation products.
  • Spearheaded a project that incorporated AI into Garmin's marine technology, significantly enhancing object detection capabilities and improving safety measures.


Master's Degree in Machine Learning at University of Kansas, KS

Sep 2018 - May 2022

Relevant Coursework: Advanced Statistics, Algorithms for Data Science, Machine Learning Theory and Methods, Artificial Intelligence, Deep Learning, Data Mining, Natural Language Processing, Computer Vision, Neural Networks, Reinforcement Learning, Predictive Analytics, Big Data Analytics, Computational Neuroscience, Probabilistic Graphical Models.


  • Python, TensorFlow, PyTorch, Scikit-learn, Keras, SQL, Hadoop


  • Deep Learning Specialization Certificate by Coursera
  • Microsoft Certified: Azure AI Engineer Associate Certification

Tips for Writing a Better LinkedIn Machine Learning Engineer Resume

1. Highlight Relevant Skills: Demonstrate your proficiency in the key skills required for a machine learning engineer such as programming languages (Python, R, Java), data modeling and evaluation skills, machine learning algorithms, and applied math and statistics.

2. Showcase Your Experience: Provide details about your work history in machine learning or related fields. Mention specific projects you've worked on and describe what you did in those projects and the impact they had.

3. Use Industry-Specific Keywords: Machine Learning, Deep Learning, Natural Language Processing, AI applications are some keywords that can make your resume stand out to potential employers.

4. Quantify Your Achievements: Whenever possible, use numbers to demonstrate the impact of your work. For instance, you could talk about how a machine learning model you developed improved efficiency by a certain percentage.

5. Include Certifications: If you have any certifications in machine learning or related areas like data science or AI, mention them in your resume.

6. Add Links to Your Projects: If possible, provide links to your GitHub repositories or other platforms where potential employers can see examples of your work.

7. Tailor Your Resume for Each Job Application: Make sure to customize your resume according to the job description of each position you apply for. Highlight the most relevant skills and experiences that make you an excellent fit for the role.

8. Keep it Concise and Clear: Avoid unnecessary jargon and keep sentences short and clear. Remember that recruiters may not be technical experts so it's important that anyone can understand what's written on your resume.

9. Proofread: Ensure there are no spelling errors or grammatical mistakes as they may give an impression of negligence or lack of attention to detail.

10. Show Continuous Learning Attitude: The field of machine learning is continuously evolving with new techniques and tools emerging frequently. So showing an attitude of continuous learning through various courses taken up or recent certifications achieved can add significant value to your resume.

11. List Soft Skills Too: Apart from technical skills like coding or knowledge about ML algorithms, soft skills like problem-solving abilities, communication skills etc also matter a lot in this role since ML engineers often have to work within teams.

12.Include Recommendations/Testimonials if Available: Having someone vouch for your skillset adds credibility to your profile.

Related: Machine Learning Engineer Resume Examples

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

Applicant Tracking Systems (ATS) are software tools used by companies like LinkedIn to streamline the recruitment process. They automatically scan and sort through thousands of resumes, highlighting those most relevant for the position. These systems often prioritize resumes that incorporate specific keywords from the job description. Therefore, when applying for a Machine Learning Engineer role at LinkedIn, it's crucial to carefully read the job description and include relevant keywords in your application. This could include terms like 'Python', 'data analysis', 'machine learning algorithms', or 'neural networks'. By doing so, you increase your chances of your application being flagged as a strong match for the role by the ATS, improving your chances of progressing further in the hiring process.

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

Key Skills and Proficiencies
Python programmingR programming
Data modeling and evaluationMachine learning algorithms
Advanced signal processing techniquesNatural Language Processing (NLP)
Text analyticsDeep Learning frameworks (TensorFlow, Keras)
Computer VisionReinforcement Learning
Statistical analysis and data miningDistributed computing
Cloud platforms (AWS, Google Cloud, Azure)Big Data platforms (Hadoop, Spark)
SQL databases/codingPredictive modeling
AI application programmingSoftware engineering skills
Problem-solving skillsUnderstanding of neural networks
Time series analysisKnowledge of robotics and autonomous systems

Related: Machine Learning Engineer Skills: Definition and Examples

Common Action Verbs for LinkedIn Machine Learning Engineer Resumes

Crafting a compelling resume, particularly for a technical position like Machine Learning Engineer, can be challenging. A common difficulty is finding different action verbs to utilize in describing your experiences and achievements. Using the same verbs repeatedly can make your resume seem monotonous and fail to fully capture the breadth of your skills and competencies. Moreover, it may suggest a lack of creativity or attention to detail, traits that are highly valued in the field of machine learning. Therefore, it's crucial to use varied action verbs when creating your LinkedIn Machine Learning Engineer Resume. This not only adds dynamism to your profile but also helps you stand out as a unique candidate with diverse capabilities.

To provide you with an advantage over your competitors, we have assembled a list of impactful action verbs that can be utilized to fortify your resume and secure your next interview:

Action Verbs

Related: What does a Machine Learning Engineer do?

Editorial staff

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Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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