Machine Learning Engineer resume example
Built from the O*NET occupation Data Scientist, which is how this job is recorded officially.
A resume for a Machine Learning Engineer needs to show the work itself: develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Day to day that means work like this: analyze, manipulate, or process large sets of data using statistical software; apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. Recruiters and applicant tracking systems both read for the tasks and tools this role actually involves, so the strongest resume names them in your own experience rather than describing the job in the abstract. Below are the tasks O*NET records for this occupation, the software and tools it uses, the titles it is advertised under, and the skills worth naming if they are genuinely yours.
Also advertised as
The same job is posted under many titles. Searching only your own job title hides most of the openings you could apply to.
- Analytics Consultant
- Applied Scientist
- Data Analyst
- Data Analytic Scientist
- Data Analytics Specialist
- Data Architect
- Data Consultant
- Data Economist
- Data Engineer
- Data Management Scientist
- Data Mining Analyst
- Data Modeler
- Data Quality Analyst
- Data Science Engineer
- Data Specialist
- Data Visualization Developer
- Machine Learning Data Scientist
- Machine Learning Engineer
O*NET records 28 titles for this occupation in total.
What this work actually involves
Tasks recorded for this occupation, in O*NET's words. If your experience covers one of these, it belongs on your resume in your own words.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Design surveys, opinion polls, or other instruments to collect data.
- Identify business problems or management objectives that can be addressed through data analysis.
- Identify relationships and trends or any factors that could affect the results of research.
- Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
- Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
16 tasks are recorded in total; these are the most central.
Example bullets for this role
Built from this occupation's own tasks. The brackets stay empty on purpose: we will not invent a number for you, and a fabricated metric is the fastest way to lose an interview you had already won.
- Analyze, manipulate, or process large sets of data using statistical software, for [who or what it served], at [what volume].
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use, for [who or what it served], at [what volume].
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods, for [who or what it served], at [what volume].
- Clean and manipulate raw data using statistical software, for [who or what it served], at [what volume].
Software used in this role
Recorded for this occupation by O*NET. An applicant tracking system matches the exact product name, so write the tool the way the posting writes it.
- Alteryx software
- Amazon Elastic Compute Cloud EC2
- Amazon Redshift
- Amazon Simple Storage Service S3
- Amazon Web Services AWS SageMaker
- Amazon Web Services AWS software
- Apache Airflow
- Apache Cassandra
- Apache Hadoop
- Apache Hive
- Apache Kafka
- Apache MXNet
- Apache Pig
- Apache Spark
86 software entries are recorded in total.
Skills an ATS reads for
Worth naming only if they are genuinely yours. Keyword overlap is one input to a resume's score, not a verdict.
- Python
- SQL
- machine learning
- statistics
- pandas
- data visualization
- A/B testing
- AWS
- Hadoop
- Spark
What level this role is pitched at
O*NET places this occupation in “Considerable Preparation Needed”. Most of these occupations require a four-year bachelor's degree, but some do not.
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Common questions
- What does a Machine Learning Engineer do?
- Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Day to day that includes work like analyze, manipulate, or process large sets of data using statistical software and Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- What software should a Machine Learning Engineer list?
- Software recorded for this occupation includes Alteryx software, Amazon Elastic Compute Cloud EC2, Amazon Redshift, Amazon Simple Storage Service S3, and Amazon Web Services AWS SageMaker. Applicant tracking systems match on the exact product name, so write the tool as the posting writes it rather than describing it in general terms.
- What other job titles cover Machine Learning Engineer work?
- O*NET records 28 titles for this occupation, including Analytics Consultant, Applied Scientist, Data Analyst, and Data Analytic Scientist. Searching only your own job title hides most of the openings you could apply to.
- Will this resume pass an ATS for a Machine Learning Engineer role?
- No tool outside an employer can tell you how that employer's system is configured, including ours. What you can control is that the resume parses cleanly, names the work in the words the posting uses, and does not claim anything you cannot back up.
Related roles
Occupations O*NET records as closest to this one, and worth looking at if this search is not moving.
What this page cannot tell you
- No tool outside an employer can tell you how that employer’s ATS is configured, including ours.
- This page makes no claim about pay, demand or how many people hold this job. O*NET does not publish that here and we will not estimate it.
- Keyword overlap is one input to a resume’s score, not a verdict on you. A resume that names skills you do not have is worse than one that names fewer.
If this is the job you are aiming at, the guide to tailoring a resume covers how to aim one posting properly, and building and exporting a resume here is free.
Occupation data from the O*NET 29.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under CC BY 4.0. O*NET is a trademark of USDOL/ETA. SpartanResume is not endorsed by USDOL/ETA.