Machine learning engineer job description

Your guide to finding and hiring the right person for your organization

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Job description

How to write a machine learning engineer job description

Your company needs a great machine learning engineer job description to find and hire the right person for the job. An effective posting thoroughly and concisely introduces your company and the open position. Machine learning engineer job candidates should gain a clear understanding of the role, and know whether their qualifications make them a good potential employee.

Craft brief lists of qualifications, objectives, and responsibilities using bullet points. Be sure the final draft aligns with your company’s expectations and is engaging and easy to read and digest.

Machine learning engineer job description template

This sample job post will introduce your organization’s culture and values, while helping potential candidates understand how they’ll contribute from Day 1.

Sample machine learning engineer job description

[Company X] is looking for a machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize [Company X]’s machine learning models and algorithms.

Objectives of this role

Design and develop machine learning algorithms and deep learning applications and systems for [Company X]
Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
Identify differences in data distribution that could potentially affect model performance in real-world applications
Ensure algorithms generate accurate user recommendations
Stay up to date with developments in the machine learning industry

Responsibilities

Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
Run machine learning tests and experiments, and document findings and results
Train, retrain, and monitor machine learning systems and models as needed
Construct optimized data pipelines to feed machine learning models
Consult with managers to determine and refine machine learning objectives
Extend existing machine learning libraries and frameworks

Skills and qualifications

Impeccable analytical and problem-solving skills
Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
In-depth knowledge of machine learning frameworks, like Keras or PyTorch
Familiarity with data structures, data modeling, and software architecture
Excellent time management and organizational skills
Desire to learn

Preferred qualifications

Proven experience as a machine learning engineer or similar role
Familiarity with Python, Java, and R
Excellent communication and collaboration skills
Innovative mind with a passion for continuous learning
General knowledge of building machine learning systems
Bachelor’s degree (or equivalent) in computer science, mathematics, or related field