The Machine Learning Engineer’s Resume Guide for 2022
Here are our most important resume guidelines we recommend all job seekers follow for a significantly better shot at getting invited for an interview.
Here’s what we’re going to cover in this guide:
- How to properly format your resume for success in 2022
- How to talk about your work experience and personal projects
- How to create a competitive skills section
- How to customize your resume for each job you apply to
Formatting a Machine Learning Engineer Resume
Reverse chronological structure: Recent experience first
Reverse chronological resume is the most popular which almost all job seekers should be using. This format means listing out the most recent and relevant things first. It starts with the most recent timeline and you work your way backward, e.g. the latest job position comes first in your work experience section, not the oldest. Structuring your resume this way makes your career timeline more established.
Machine learning engineer Resume Length
Stick to 1 page.
Most IT Specialists have found that their best shot at landing an offer is by having a one or two-page resume. This includes a collection of sections that cover relevant past experiences. Your resume should be no longer than three pages. The risk of going beyond two pages is including irrelevant content that could distract from your qualifications.
Avoid Common Machine learning engineer Resume Format Mistakes
1) Resumes must include as much content as possible.
2) Uniform and labeled section headers
When it comes to creating an ATS-optimized resume, it’s good to know how it will be read by the software. Like most human readers, the ATS will read from left to right and top to bottom.
3) Minimal white-space
8 ATS IT Resume Examples (Including Writing Tips)
Key Sections for a Machine Learning engineer Resume
A Tailored Resume Summary
In a competitive field like Machine learning engineer, hiring managers sometimes review hundreds of applications for a single position. Writing a resume that stands out is difficult, so solve that problem by including a compelling introduction for your resume. Begin your resume with a resume objective, which is a 2–3 sentence paragraph about your job-relevant skills and career goals.
Machine learning engineer with 4 years of experience in Python, SQL, and Numpy. Proven ability to develop software solutions using data mining and machine learning techniques. Excellent understanding of implementation of solutions using existing software solutions.
Machine learning engineer with 4 years of experience in Scikit, NLTK, Numpy, Pandas, and Tensor. Proven expertise in handling large datasets, data visualization, and analysis. Achieved superb results in the development and implementation of Machine Learning algorithms that drive significant revenue benefits.
Machine learning engineer at company C with 4 years of experience in classification and regression using scikit-learn. Expertise in classification and regression with a strong background in classification algorithms, neural networks and deep learning. Passionate about big data and using machine learning models to solve business problems.
You can read more about how to create a resume summary with artificial intelligence here.
Your Relevant Professional Experience
Employers will want to know what you’ve done in your previous job position to get insight into your skills and expertise. Knowing what you’re familiar with will help them make a decision and to see if you’re more of a good fit compared to the other applicants.
However, you should also be including any positive results you’ve accomplished.
Information Technology(IT) Certifications
Emphasize your credentials. Include mention of all Important Skills for Information Technology (IT) Jobs, Professional Machine Learning Engineer by Google, AWS Certified Machine Learning — Specialty, Azure Data Scientist Associate or other IT/Programming methods or processes.
Skills for a Machine Learning Engineer Resume
Either at the beginning (after the resume summary) or at the end of your resume, insert a tech table that lists the software, hardware, and technical processes with which you are conversant. Be sure to include those that are specifically mentioned in the job ad; these are important “keywords” that will help rank your resume highly when it is scanned by an automated applicant tracking system during its first round of review.
Hard skills like software, tools, and the technical knowledge to interacting on websites, developing servers, and databases for website functionality, and coding for different platforms. But don’t forget to include soft skills like teamwork and communication skills, which are necessary to coordinate with developer, Consultant, Business owner and Security Analyst.
Here are more key hard and soft skills that look great on a Machine learning engineer manager resume:
Hard skills to consider
- Engineering programs: Applied Mathematics, Data modeling & Evaluation, Natural learning Processing, Python, Python, Scikit, NLTK, Numpy, Pandas, Tensor, SQL, Data classification, regression and clustering
- Industry credentials: Professional Machine Learning Engineer by Google, AWS Certified Machine Learning — Specialty, Azure Data Scientist Associate
Soft Skills to consider
- Good Communication
- Time Management
- Judgement and decision-making
- Problem Solving
IT/Programming Resume Content
Using Metrics to Quantify Experiences
Don’t simply fill your resume with lists of your machine learning engineer job responsibilities. To impress the hiring manager, put your experience in context with specific examples and hard numbers that prove you’re an accomplished IT Specialist.
For instance, list how you Implement data structure measures. How you design, develop and maintain computer software also build systems that collect, manage, and convert raw data into usable information to interpret. How you design user interactions on websites, develop servers, and databases for website functionality, and coding for mobile platforms.
Optimizing Resume Content with IT/Programming Keywords
How to tailor your resume to a job. Many hiring managers use applicant tracking systems (ATS) to filter applications based on resume keywords they write in their job ads. The more machine learning engineer –related keywords you can use, the higher the chances your resume gets past the ATS and onto the hiring manager’s shortlist of applications.
The ATS keyword research process doesn’t have to be difficult. In fact, it’s a straightforward process if you’re doing it with Rezi. Our AI Keyword Targeting feature allows you to upload a job description and instantly see which keywords should be included in your resume's content.
Instantly Generate Machine learning engineer Resume Content
Job seekers can now use AI to create the perfect application with minimal effort. How long does it take to make a resume writes tailored content instantly and prevents writer’s block completely. It’s that simple yet highly effective in helping you get more job offers and interviews faster.
All you need to do is enter a few details such as:
- Experience level
Learn more about Rezi AI Resume Writer here
Include A Machine Learning Engineer Cover Letter
Many job seekers today overlook the importance of a cover letter. The significant impact it can leave on your recruiters will play its part in the decisive moment for whether you’re going to get hired or not.
To put it simply, cover letters can be your gateway to improving your overall job application and a higher chance of getting the job.
Unless your resume is absolutely perfect with no flaws, why settle for less? A cover letter can greatly increase your odds of getting hired for the company you want to work for, even if it’s a competitive job posting.
Learn more about Rezi AI Cover Letter Builder here