Machine Learning Engineer at Adobe

Introduction 🧾

Hello Ninjas! Welcome to yet another preparation guide article. Do you want to be a Machine Learning Engineer at Adobe but don't know how to start? Don't worry; we have got you covered. Coding Ninjas will help you understand the job profile better.

Also, you can read our Adobe Preparation Guide and Ways to Join Adobe article. Check out the Internships at Adobe article if you are looking for internships.

Isn’t it incredible? ✨

So, let's get started. 😃

About Adobe

Adobe is an American multinational IT company. It was formerly known as Adobe Systems Incorporated. It is headquartered in San Jose, California. It is famous for creating and publishing content. A wide range of content includes photography, illustrations, videos, animations, motion, and graphics.

Adobe is used by many businesses to create, edit, scan, sign, and share digital documents. Adobe offers over 100 products. Adobe Photoshop, Lightroom, and Illustrator InDesign are some of the most popular products of Adobe. Adobe Acrobat and Acrobat Sign are used to create and edit PDF documents. 

Let's now discuss the Machine Learning Engineer profile at Adobe. 

Machine Learning Engineer at Adobe

Let us gear up and get started with the Machine Learning profile at Adobe. 

About the role 📄

A  Machine Learning Engineer at Adobe works with data and builds solutions with data. They are responsible for building scalable and maintainable models. They use the power of deep learning, NLP, and computer vision to build creative solutions. 

Roles and Responsibilities 🔗

Adobe is all about changing the world through digital experiences. They work on building more creative experiences for users through their products. As a machine learning engineer, you will work closely with the data science team.

The following are the primary responsibilities of a Machine Learning Engineer at Adobe: 
 

📑 Develop algorithms using neural networks and deep learning to solve complex problems. 
 

📑 Use Natural Language processing and computer vision to leverage large datasets and build creative solutions.
 

📑 Build scalable models for complex problems. 
 

📑 Collaborate with others across multiple research and engineering subject areas.

Skills and Requirements 📌

You need specific skills to be a machine learning engineer at Adobe. You can only prepare if you know what to prepare. So, let's discuss the skills required to be a Machine Learning Engineer at Adobe. 

 

The required skills are 
 

📌 Working Experience of 3 to 9 years in relevant field.  
 

📌 Industry Experience of 3+ years. 
 

📌 Capable of writing clean, efficient, and reusable code in C++ or Python. 
 

📌 Strong knowledge of Data structures and algorithms. 
 

📌 Familiar with Document content analysis or structure recognition work is preferred.
 

📌 Capable and experienced in building scalable models from scratch. Capable of writing maintainable code for complex problems.
 

📌 Experience building products/services with the help of NLP, computer vision, image processing, and other machine learning and deep learning algorithms.
 

📌 Strong knowledge of software development. Capable of producing reusable code. 

Salary and Perks 💸💰

Let us now move on and talk about salaries and perks at Adobe. The following table shows the average salary depending on the entries of a few employees of Adobe.

Designation	Salary (in rupees)
Machine Learning Engineer	₹30,00,000

** Salaries mentioned above are only estimated values per annum. They are subject to change. **

You get a lot of perks when working with Adobe. Following are a few of them.
 

🌟 Vacation and holidays.

• Vacation leave.
• Company break periods.
• National holidays.
• Global well-being days.
   

🌟 Health and Wellbeing.

• Health insurance.
• Wellness reimbursement programme.
• Physical well-being
• Life insurance.
• Elderly care.
   

🌟 Education reimbursement.

• Professional development reimbursement.
   

🌟 Emotional and mental well-being.

• Employee assistance program (EAP).
• Headspace meditation app.
   

🌟 Financial benefits.

• Retirement plans.
• Employee stock purchase plan.
   

🌟 Time off

• Sick and casual leave.
• Sabbatical.
• Taking a leave of absence.
   

🌟 Work and life

• Discounts.
• Commuter programme.
• Relocation resources.
• Personal and family services.
• Learning Fund.
• Site amenities.
• Recognition.
• Social impact and giving.
• Business travel support.

Preparation Strategy📍⏳

Now that you know everything about the role, let’s get you geared up with the best preparation strategy to help you crack this job profile at Adobe. 

Following are the articles and courses offered by coding ninjas to help you crack this position at Adobe.

Programming Languages and Data Structures: You must have good command over at least one programming language for the coding rounds. Follow our courses to learn common programming languages.

📘 C++ with DSA

📙 Java with DSA

📗 Python with DSA.

📚 Data Structures and Algorithms
 

Machine learning and Artificial Intelligence: You should have sound knowledge of Machine learning algorithms. You should know neural networks, deep learning, NLP, computer vision, and image processing.

Follow the below links to learn and understand machine learning concepts: 

📚 Coding Ninjas | Machine Learning Courses.

📚 Data Science & Machine Learning Free Course.

📚 Free Machine Learning Online Courses in 2021.

📚 Neural Networks | Learn & Practice from Coding Ninjas Studio.     

📚 Deep Learning | Learn & Practice from Coding Ninjas Studio.

📚 Learn Natural Language Processing(NLP).

📚 Computer Vision Concepts | Learn & Practice from Coding Ninjas Studio.

📚 Image Processing Basics | Learn & Practice from Coding Ninjas Studio.     

Interview Experiences

Many people have gone through the Adobe selection process and have shared their interview experiences with Coding Ninjas.  

Follow the below links to read their interview experiences at Adobe for different profiles:

📋 Adobe Interview Experience by | On Campus - Jan 2021. 

📋 Adobe Interview Experience by Sarthak Mittal | Aug 2017 (Exp. 0-2 Years).

📋 Adobe Interview Experience by Ashish Kumar | Off Campus - Nov 2020. 

📋 Adobe Interview Experience by Janvi Singla | On Campus - Oct 2020. 

📋 Adobe Interview Experience by Arpit Dhamija | On Campus - Sep 2020. 

📋 Adobe Interview Experience for Fresher SDE - 1, May 2014. 
 

You can also get all the interview experiences at Adobe compiled at Adobe Interview Experience.  

Career Map 📈

Machine learning engineers work with data and algorithms. They use different algorithms to achieve better performance. To be a machine learning engineer as fresher, you should be good with programming. You should have good knowledge of at least one programming language. You should know machine learning algorithms, NLP, computer vision, and image processing.

You will initially be starting you career as an MLE-1.After 2 years depending upon your work, You will be promoted to MLE-2 where your salary will see a sudden hike. Over the past few years, the computer science field is on high demand. So, the future of a Machine Learning Engineer in Adobe is bound to be great. Talking about engineering roles, MLE-4 is the highest in Adobe and after this you will be either leading a team or you could become a program manager.

Machine Learning Roadmap 🤓

Are you a beginner in machine learning and still unsure how to start and move ahead? Great! We have a solution for this also. We have our experts explain the roadmap of machine learning for you. Check out this video to get an idea of machine learning, how to get started, move to advanced levels, and more. This video will also help in clearing general doubts students have when learning a new technology.