Research Engineer

A Research Engineer develops and implements innovative solutions and technologies to advance scientific research and development.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Research Engineer

Indeed
Market
National (USA)
Base Salary
$90,795 / year
Satisfaction
73%
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Research Engineer is $90,795 / year according to Indeed.com

There are no updated reports for Research Engineer salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Research Engineer role may have an alternate title depending on the company. To find more information, you can check Indeed.com.

Career Information

As a Research Engineer, you will be responsible for conducting research and development activities to advance technology and innovation within an organization. You will need strong problem-solving and analytical skills, as well as knowledge of engineering principles and research methodologies. Proficiency in programming languages and software tools is also important, as you will be responsible for designing and implementing experiments, analyzing data, and developing prototypes.

The average salary for Research Engineer is $90,795 / year according to Indeed.com
AI Disclaimer
The following text about the Job role of Research Engineer has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

A Research Engineer is a professional who is responsible for researching, designing, developing, and testing new products and technologies. They are also responsible for analyzing existing products and technologies to identify areas of improvement. Research Engineers are expected to have a strong understanding of engineering principles and be able to apply them to the development of new products and technologies.

The most important skills for a Research Engineer include problem-solving, analytical thinking, and creativity. They must be able to identify problems and develop solutions to them. They must also be able to analyze existing products and technologies to identify areas of improvement. Additionally, they must be able to think creatively to develop new products and technologies.

Research Engineers are also responsible for conducting experiments and tests to ensure that new products and technologies meet the desired specifications. They must be able to interpret data and draw conclusions from the results of their experiments. Additionally, they must be able to communicate their findings to other members of the engineering team.

Research Engineers must also be able to work with other engineers and scientists to develop new products and technologies. They must be able to collaborate effectively and be able to work in a team environment. Additionally, they must be able to work independently and be able to manage their own time and resources.

Finally, Research Engineers must be able to stay up-to-date on the latest developments in their field. They must be able to read and understand technical documents and be able to apply their knowledge to their work. They must also be able to stay abreast of new technologies and be able to identify potential applications for them.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Microsoft Certified: Azure Data Scientist Associate

DP-100

The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.

Intermediate
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Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

Intermediate
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Microsoft Certified: Azure Data Engineer Associate

DP-203

The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

Intermediate
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Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

Advanced
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AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

Advanced
View More

Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

Intermediate
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AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

Advanced
View More

Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

Advanced
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Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Machine Learning Scientist with Python

Career Track

Master key machine learning skills with 23 concise courses on Python, supervised & unsupervised learning, NLP, TensorFlow, PyTorch, Keras, and more for a successful career.

Intermediate
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AI Programming with Python

Nanodegree

Data Science: Statistics and Machine Learning Specialization

Specialization

This comprehensive course equips you with essential Statistical and Machine Learning skills for Data Science, including R Programming, Regression Analysis, Data Visualization, and Random Forest.

Intermediate
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Mathematics for Machine Learning: Linear Algebra

Course

This course is jam-packed with lessons and exercises to help you develop an intuitive understanding of linear algebra concepts such as vectors, matrices, basis (linear algebra), eigenvalues, eigenvectors, and transformation matrices, among others.

Mathematics for Machine Learning and Data Science Specialization

Specialization

Statistics and Data Science – MicroMasters

Instructor-led

The highly recommended program, ideal for Big Data enthusiasts, covers data science foundations, statistics, and machine learning through guided lectures, exercises, and projects.

Intermediate
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Introduction to Computational Statistics for Data Scientists

Specialization

This high-quality specialization teaches Data Science learners the basics of Computational Statistics, Bayesian modeling, and inference, providing lifelong skills and a strong conceptual understanding of practical techniques.

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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