
Intern - Machine Learning Engineer
Are you a highly motivated and curious individual with a passion for machine learning? Do you have a strong background in computer science and a desire to gain hands-on experience in the field? If so, Adobe has an exciting opportunity for you as an Intern Machine Learning Engineer. As an intern, you will have the opportunity to work alongside our team of experienced engineers and contribute to cutting-edge projects that impact millions of users worldwide. We are seeking someone who is eager to learn, has excellent problem-solving skills, and is driven to make a positive impact in the world of technology. If this sounds like you, we encourage you to apply for this dynamic internship position.
- Learn and familiarize yourself with Adobe's machine learning systems and tools.
- Collaborate with the team to develop machine learning models and algorithms.
- Utilize your strong computer science skills to design, implement, and test machine learning solutions.
- Research and stay up-to-date on the latest advancements in machine learning and related fields.
- Participate in team meetings to discuss project progress, challenges, and potential solutions.
- Analyze and interpret data to identify patterns and trends for use in machine learning models.
- Create and maintain documentation for machine learning projects and processes.
- Effectively communicate project updates and findings to team members and other stakeholders.
- Troubleshoot and debug code to ensure the accuracy and efficiency of machine learning models.
- Contribute to the continuous improvement of Adobe's machine learning processes and techniques.
- Take ownership of assigned tasks and meet project deadlines.
- Actively seek out opportunities to expand your knowledge and skills in the field of machine learning.
Strong Foundation In Computer Science And Programming Languages, Such As Python, Java, Or C++, To Develop Machine Learning Algorithms And Models.
Prior Experience With Data Analysis And Manipulation, Including Using Tools Like Sql And Excel, To Identify Patterns And Trends In Large Datasets.
Familiarity With Machine Learning Frameworks, Such As Tensorflow Or Pytorch, And The Ability To Implement And Optimize Models For Real-World Applications.
Knowledge Of Statistics And Data Mining Techniques, Such As Regression, Clustering, And Classification, To Build And Evaluate Machine Learning Models.
Excellent Communication And Collaboration Skills To Work Effectively In A Team Environment And Present Findings And Solutions To Stakeholders.
Programming
Data Analysis
Deep Learning
Computer Vision
Data Visualization
Natural language processing
Algorithm development
Statistical modeling
Image Processing
Predictive modeling
Neural Networks
Time
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Intern - Machine Learning Engineer in Lehi, UT, USA is $70,000 - $100,000 per year. This salary range may vary depending on the specific company, skill level, and experience of the individual.
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Adobe Systems, Inc. engages in the provision of digital marketing and digital media solutions. It operates through the following segments: Digital Media, Digital Marketing, and Print and Publishing. The Digital Media segment offers creative cloud services, which allow members to download and install the latest versions of products, such as Adobe Photoshop, Adobe Illustrator, Adobe Premiere Pro, Adobe Photoshop Lightroom and Adobe InDesign, as well as utilize other tools, such as Adobe Acrobat. The Digital Marketing segment offers solutions, including analytics, social marketing, targeting, media optimization, digital experience management, and cross-channel campaign management, as well as premium video delivery and monetization. The Print and Publishing segment offers legacy products and services for eLearning solutions, technical document publishing, web application development, and high-end printing.

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