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Table of contents
1.
Introduction📄
2.
About LinkedIn
3.
About AI/ML (Artificial Intelligence and Machine Learning) Engineer
4.
Roles and Responsibilities of an AI/ML Engineer at LinkedIn
5.
Required Skills Set for the AI/ML Engineer at LinkedIn
6.
Salary💰
7.
Benefits and Perks💸
8.
Roadmap to Become AI/ML Engineer at LinkedIn.🛣️
8.1.
Getting a Degree
8.2.
Building Technical Competencies
8.2.1.
Programming Languages
8.2.2.
Statistical Knowledge
8.2.3.
Applied Math in Machine Learning
8.2.4.
Natural Language Processing
8.2.5.
Deep Learning and Neural Networks
8.2.6.
SPARK
8.2.7.
Big Data Technologies
8.3.
Necessary Business Skills to Become Artificial Intelligence Engineer
8.3.1.
Innovative reasoning
8.3.2.
Problem Solving Skills
8.3.3.
Ability to work in a team
9.
Interview Preparation 💻
10.
Frequently Asked Questions
10.1.
What are the Qualifications to be an AI/ML Engineer at LinkedIn?
10.2.
What exactly does an AI/ML engineer do?
10.3.
What Jobs Are Similar to the Role of a Machine Learning Engineer?
10.4.
Who does a Machine Learning Engineer work with?
10.5.
Name a few popular Machine Learning Tools.
11.
Conclusion
Last Updated: Mar 27, 2024

AI/ML Engineer at Linkedin

Create a resume that lands you SDE interviews at MAANG
Speaker
Anubhav Sinha
SDE-2 @
12 Jun, 2024 @ 01:30 PM

Introduction📄

AI/ML Engineer at LinkedIn

Hello there, Ninjas.

If you are preparing for the AI/ML Artificial Intelligence and Machine Learning Engineer post at LinkedIn, this article can assist you.

This article will go over the company, as well as the duties and skill set necessary for the Engineer job. We will also discuss how to prepare for the interview, which will help you ace your interview.

Before we go into the AI/ML Artificial Intelligence Engineer at the LinkedIn position, let's take a quick look at the organization.

We hope you will find this blog useful; for further information, please see the articles below. You can also refer to the below article to know more about LinkedIn's work Culture and Employees' experience there.

About LinkedIn

About LinkedIn

LinkedIn was created to help professionals advance in their careers, and millions of individuals use the site daily to build connections, find opportunities, and get insights. LinkedIn's worldwide presence allows it to directly influence the global workforce in ways no other organization can. LinkedIn is more than just a digital Resume; it changes people's lives via technology.

LinkedIn shares the responsibility of creating economic opportunities for every member of the global workforce. LinkedIn alters how we employ and empower our talent to serve individuals from all backgrounds and experiences to fully transform the global economy. LinkedIn is dedicated to workplace diversity and is delighted to be an equal-opportunity employer.

About AI/ML (Artificial Intelligence and Machine Learning) Engineer

About AI/ML (Artificial Intelligence and Machine Learning) Engineer

The position of machine learning and artificial intelligence engineer is set to become one of the most in-demand positions in IT industries.

In reality, a machine learning engineer's role is similar to that of a data scientist. Both professions deal with massive amounts of data and need great data management abilities and the ability to execute complicated modeling on dynamic data sets.

The resemblance, however, ends here. Data experts provide insights, often delivered to a human audience through charts or reports. In contrast, machine learning engineers create self-running software to automate prediction models. When the program executes an operation, it utilizes the data to conduct subsequent operations with improved precision. This is how a machine or program "learns."

The recommendation algorithm used by Netflix, Amazon, and other consumer-facing firms is a well-known example of ML. Each time a person views a video or looks for a product, these websites add additional data points to their algorithm. As data increases, the algorithm's suggestions to the user for additional material become increasingly accurate - all without any human interaction. 

Every job has its own collection of responsibilities that an individual must fulfill. So, let's go over the roles of an AI/ML Engineer at LinkedIn.

Roles and Responsibilities of an AI/ML Engineer at LinkedIn

Roles and Responsibilities of an AI/ML Engineer at LinkedIn

AI engineers are in charge of creating new AI-powered apps and systems. It boosts performance and efficiency, resulting in better judgments, cheaper expenses, and more profitability.

  • They must research and apply AI concepts in the program for any future uncertainty.
  • Choose the best datasets and data representation techniques.
  • Investigate and modify data science prototypes.
  • Create systems for machine learning.
  • Create machine learning applications per specifications.
  • Run tests and experiments with machine learning.

Required Skills Set for the AI/ML Engineer at LinkedIn

Required Skills Set for the AI/ML Engineer at LinkedIn

Following are the skills required for the AI/ML Artificial Intelligence and Machine Learning Engineer post on LinkedIn.

  • You must have a certain set of skills to work as an AI engineer. AI developers must be proficient in machine learning.
     
  • To begin, Python is a popular language for anyone interested in a career in AI/ML. Similarly, knowledge of many languages may be advantageous. R, C/C++, Java, and Scala are the most popular programming languages.
     
  • Other technical abilities are necessary besides knowledge of modern data science languages. Examples include statistical learningdecision trees, neural networks (also known as deep learning), and other approaches.
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Salary💰

Salary💰

The average salary for the AI/ML Engineer at LinkedIn is below.

Salary Table

However, the salary figures which are mentioned above are subject to change.

Let's discuss some benefits and perks the company provides for the AI/ML Engineer at LinkedIn.

Benefits and Perks💸

LinkedIn offers a range of benefits and perks to its employees.

Benefits and Perks

  • LinkedIn allows its employees to take paid time off to rest, refuel and recharge.
  • It provides life insurance to its employees.
  • It also provides its employees with a wide range of premium accountsLinkedIn learning subscriptions, and discounts on Microsoft products.
  • It has a week-long shutdown at the end of the year.
  • It provides health insurance for its employees as well as their families.
  • It has a wellness program that allows employees to use their onsite gymfitness classes, and events.

Roadmap to Become AI/ML Engineer at LinkedIn.🛣️

The roadmap to becoming an AI/ML Engineer at LinkedIn is

Roadmap to Become AI/ML Engineer at LinkedIn

Getting a Degree

Starting with the basics, you must complete an undergraduate course first.

To become an AI engineer, you must first have a degree in one of the following fields: computer science, mathematics, information technology, statistics, finance, and economics. Your grades signify your genuineness; thus, a high GPA would benefit you.

Building Technical Competencies

After finishing an undergraduate study in one of the above-mentioned streams, the next stage is to develop technical competencies, which include:    

Programming Languages

You must be extremely knowledgeable in programming languages such as Python, R, Java, C++, and others. It is essential to have a solid understanding of object-oriented programming.

Statistical Knowledge

Regarding stats, you should be familiar with vectors and network augmentation. Understanding subordinates, integrals, Gaussian distributions, means, and standard deviations would be beneficial.

Applied Math in Machine Learning

To be a successful AI engineer, you must have a good understanding of mathematical concepts. Artificial intelligence will need subject knowledge; learning Gradient Descent, Lagrange, Quadratic Programming, Partial Differential Condition, and others would benefit you.

It may seem intimidating from the outside if you've been away from math for a while. Be aware that Machine Learning and Artificial Intelligence are far more math-intensive than things like front-end development.

Natural Language Processing

Natural Language Processing and computer science combine to form one of the most important areas of Machine Learning and Artificial Intelligence. The likelihood of you dealing with it is quite high.

It is necessary to have extensive control over libraries like Gensim and NLTK and algorithms such as word2vecSentimental Analysis, and Summarization.

Deep Learning and Neural Networks

Occasionally, you may want Machine Learning for tasks that are excessively difficult for individuals to write legitimately. This is when neural networks come into play.

Neural systems are modeled after the human cerebrum, which can interpret numerical instances based on tactile input.

In artificial intelligence, single-layer neural networks are often called Deep Learning neural systems.

Deep neural networks have been the most precise technique for approaching complicated challenges. These are analogous to Translation, Speech Recognition, and Image Classification, all of which play important roles in AI.

SPARK

Spark

Spark is a data analytics engine mostly used for large-scale data processing. It has high-level APIs in Scala, Java, Python, and R and improved software that allows generic calculation diagrams for data analysis.

It also supports many higher-level devices, for example, Spark SQL for SQL and DataFrames, MLlib for AI, GraphX for chart Preparation, and Structured Streaming for stream handling.

Big Data Technologies

Big Data Technologies

Big Data Technology is software technology designed to analyze, process, and extract information from massive datasets.

Traditional data processing software would never be able to handle this. We require Big Data Processing Technologies to analyze this massive amount of real-time information and make conclusions and predictions to reduce future risks.

Hadoop, Pesto, and MongoDB are examples of some Big Data Technologies

Below we list some of the most asked topics.

Necessary Business Skills to Become Artificial Intelligence Engineer

Necessary Business Skills to Become Artificial Intelligence Engineer

To create a career in AI, you must have some soft skills in addition to the skills listed above. These soft skills are as follows:

Innovative reasoning

It is critical for an AI engineer to be able to think creatively. Developing AI is about thinking outside the box and being creative, which requires innovative reasoning.

Problem Solving Skills

AI is a means for people to tackle complicated issues. Problem-solving abilities are essential for developing such skills.

Ability to work in a team

The importance of teamwork cannot be overstated. Team players are typically preferred in the technological field.

Information about the industry: To work in any business, it is necessary to have a thorough understanding of that industry and others that are linked to it. The same is true for AI engineers.

Interview Preparation 💻

Interview Preparation

During the selection process, the interview is crucial. It is also the final step that determines whether or not a candidate should be chosen.

As a result, you must prepare well to ace the interview. You should be prepared to answer various interview questions, ranging from situational and scenario-based queries to technical inquiries. Also, go through your resumes.

To Know more about Machine Learning and Artificial Intelligence, go through this video.

Hopefully, this post has given you enough information regarding the AI/ML Engineer position at LinkedIn.

Finally, I'd like to encourage you to be consistent, confident, and believe in yourself.

You may also use Coding Ninjas' interview preparation material.

 

AI engineering is a viable job option in the future. This is a really popular job right now. As a consequence, ensure that you acquire the greatest artificial intelligence training and that you refine all of your skill sets. Coding Ninja can assist you with this; see our Premium Courses of Machine Learning and Artificial Intelligence for more easily understandable content. Now is an excellent moment to obtain an artificial intelligence certification and begin a lucrative career. AI students will have prosperous careers.

Frequently Asked Questions

What are the Qualifications to be an AI/ML Engineer at LinkedIn?

The AI/ML Engineer must have at least six years of relevant professional experience, an MS or Ph.D. in Computer Science or a related technical subject, and be fluent in English. Knowledge of machine learning, optimization methods, and/or deep-learning approaches is preferred.

What exactly does an AI/ML engineer do?

Machine Learning Engineers are highly trained programmers that create artificial intelligence (AI) systems by researching, developing, and generating algorithms that can learn and predict.

What Jobs Are Similar to the Role of a Machine Learning Engineer?

Many data professionals undertake comparable duties to those of a Machine Learning Engineer within the larger field of data science. Here are a few roles that might be part of a Machine Learning professional's career path: Data Scientist, Data Analyst, Software Engineer, and Data Engineer 

Who does a Machine Learning Engineer work with?

An ML Engineer would most likely work as part of a bigger data science team, depending on the firm's size. Data Scientists, Data Analysts, Data Engineers, Data Architects, and Database Administrators could be on that team.

Name a few popular Machine Learning Tools.

Some popular Machine learning tools that ML engineers find beneficial are: TensorFlow, Spark, Hadoop, R Programming, Apache Kafka, and MATLAB are some of the technologies used.

Conclusion

Congratulations, Now you know how to be AI/ML Engineer at LinkedIn, go practice. We have discussed the responsibilities, required Skills, Salary, etc., for the AI/ML Engineer at LinkedIn.

Refer to our guided paths on Coding Ninjas Studio to learn more about DSA, Competitive Programming, JavaScript, System Design, etc. Enroll in our courses and refer to the mock test and problems available; look at the Top 150 Interview Puzzlesinterview experiences, and interview bundle for placement preparations.

Happy Learning!

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