Adobe

Intern - Machine Learning Engineer

Adobe

Austin, TX, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We are looking for a highly motivated and driven Intern Machine Learning Engineer to join our dynamic team at Adobe. In this role, you will have the opportunity to work on cutting-edge machine learning projects and contribute to the development of innovative solutions for our company. This is a unique opportunity for a passionate individual who is eager to learn and grow in the field of machine learning while gaining valuable hands-on experience in a fast-paced and collaborative environment.To be successful in this role, you must have a strong foundation in machine learning concepts and algorithms, as well as experience in programming languages such as Python, Java, or C++. You should also possess excellent problem-solving skills and the ability to work independently and in a team setting. If you are a self-starter with a passion for machine learning and a desire to make a real impact, we would love to have you on our team. Join us at Adobe and be a part of shaping the future of technology.

  1. Collaborate with team members to identify and prioritize machine learning projects and tasks.
  2. Assist in the development and implementation of machine learning algorithms and models.
  3. Conduct research and stay up-to-date on the latest advancements in machine learning.
  4. Collaborate with cross-functional teams to understand business needs and requirements for machine learning solutions.
  5. Perform data analysis and processing to support machine learning projects.
  6. Test and evaluate machine learning models to ensure accuracy and efficiency.
  7. Troubleshoot and debug any issues that arise during the development and deployment of machine learning solutions.
  8. Document and communicate progress and results to team members and stakeholders.
  9. Continuously learn and improve skills and knowledge in machine learning and related technologies.
  10. Follow best practices and adhere to company policies and procedures.
  11. Take initiative and proactively identify areas for improvement and optimization in machine learning processes and systems.
  12. Collaborate with other team members to develop and maintain a positive and inclusive work environment.
  13. Participate in team meetings and contribute ideas and suggestions for enhancing machine learning projects.
  14. Contribute to the overall success of the team by completing tasks and projects in a timely and efficient manner.
  15. Follow ethical and legal standards in the development and use of machine learning solutions.
Where is this job?
This job is located at Austin, TX, USA
Job Qualifications
  • Strong Understanding Of Machine Learning Concepts And Algorithms: The Ideal Candidate Should Have A Solid Understanding Of Machine Learning Techniques Such As Regression, Classification, Clustering, And Deep Learning. They Should Also Be Familiar With Popular Machine Learning Frameworks Like Tensorflow, Keras, And Pytorch.

  • Proficiency In Programming Languages: The Candidate Should Have Strong Programming Skills In Languages Such As Python, R, And Java. They Should Also Have Experience With Data Manipulation And Analysis Using Tools Like Pandas And Numpy.

  • Knowledge Of Data Science And Statistical Analysis: A Good Understanding Of Data Science Principles And Statistical Analysis Is Essential For An Intern Machine Learning Engineer At Adobe. This Includes Knowledge Of Data Preprocessing, Feature Selection, And Model Evaluation Techniques.

  • Familiarity With Big Data Technologies: Adobe Deals With Large Datasets, So Experience With Big Data Technologies Such As Hadoop, Spark, And Hive Is A Plus. The Candidate Should Also Be Comfortable Working With Cloud-Based Data Storage And Processing Platforms Like Aws Or Google Cloud.

  • Strong Problem-Solving And Analytical Skills: As An Intern Machine Learning Engineer, The Candidate Will Be Responsible For Developing And Implementing Machine Learning Solutions To Complex Problems. Therefore, They Should Have Excellent Problem-Solving Skills, Be Detail-Oriented, And Possess A Strong Analytical Mindset.

Required Skills
  • Data Analysis

  • Big Data

  • Deep Learning

  • Cloud

  • Computer Vision

  • Data Visualization

  • Natural language processing

  • Algorithm development

  • Statistical modeling

  • Image Processing

  • Python programming

  • Neural Networks

Soft Skills
  • Communication

  • Conflict Resolution

  • Customer Service

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Intern - Machine Learning Engineer in Austin, TX, USA is $80,000 - $120,000 per year. This can vary depending on the specific company, level of experience, and other factors such as benefits and bonuses.

Additional Information
Adobe is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedSeptember 20th, 2024
Apply BeforeFebruary 13th, 2026
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About Adobe

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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