How To Make a Resume For Machine Learning Engineers (2022) | Resume Example

Do you need to submit a resume for a machine learning (ML) position? Learn ‘how to make a resume for machine learning engineers’ and check out the resume example! (PS: Don’t forget to DOWNLOAD matching CV and Cover Letter Templates 📑)

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Machine Learning Engineer Resume Example

NAME SURNAME
Los Angeles, CA | [email protected] | +[000]-000-0000 | linkedin.com/username

SUMMARY

Machine learning expert with over five years of experience in machine learning algorithms, data structures and various programming languages. Seeking to leverage my familiarity with approximate algorithms as a [Position] at [Company]. As of [Date], I will be available for full-time employment (40-hour work week).

SKILLS

Probability & Statistics
Knowledge in Python
Gaussian Mixture Models
Hidden Markov Models

Computer Science & Data Structures
Parallel/distributed architecture
Complex data structures:
Trees / Graphs / Computations

Programming Languages
Python, R, Java, JavaScript,
Julia, LISP, C++, C#,
Scala, HTML/CSS

WORKING EXPERIENCE

Tech Company | Machine Learning Engineer

City, State | 01.2019 – 01.2021

  • Collaborated with 5 data scientists/analysts and 2 project managers to identify performance improvement opportunities and integrate trained models
  • Implemented data mining and machine learning solutions to business problems such as: demand forecasting, sales lead scoring, supply chain optimization and targeted marketing
  • Developed machine learning pipeline and trained models using FCN and GAN which resulted in savings of $650,000 in 2021

Startup Name | Data Scientist

City, State | 01.2016 – 01.2019

  • Collaborated with 10 software/web developers and 3 project managers to identify performance improvement opportunities and integrate trained models
  • Implemented data mining and machine learning solutions to business problems such as: demand forecasting, sales lead scoring, supply chain optimization and targeted marketing
  • Developed machine learning pipeline and trained models using FCN and GAN which resulted in savings of $420,000 in 2019

EDUCATION

University Name – Bachelor of Computer Science

  • Cumulative GPA: 3.90/4.00
  • Uni’s Engineering Summer Academy
  • AP Computer Science Courses

City, State | 00.0000 – 00.0000

Additional Courses
Relevant Coursework: Machine Learning with Python, Data Mining, Advanced Algorithms & Statistics

PROJECTS

Wine Quality Test Project
Built an interface to predict the quality of red & white wine

Crypto Price Predictor Project
Created a price predictor to help predict BTC prices using data

Project at [University Name]
Developed data mining algorithm for marketing students

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