Apple

Machine Learning Research Engineer (Computer Vision) - SIML, ISE

Apple

Seattle, WA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you a passionate individual with a strong background in machine learning and computer vision? Do you thrive in a dynamic and innovative environment where your skills and ideas can make a real impact? If so, Apple's Machine Learning Research Engineer (Computer Vision) position at the SIML, ISE team may be the perfect fit for you!As a Machine Learning Research Engineer at Apple, you will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of researchers and engineers to develop state-of-the-art computer vision solutions. We are looking for a highly motivated and driven individual with a deep understanding of machine learning algorithms and a strong background in computer vision to join our team.If you have a passion for pushing the boundaries of technology and a curiosity to explore new possibilities, we invite you to join us in our mission to revolutionize the world of computer vision. Join Apple and be a part of a team that is shaping the future of technology.

  1. Develop state-of-the-art computer vision solutions using machine learning algorithms.
  2. Collaborate with a team of researchers and engineers to drive innovative and impactful projects.
  3. Conduct cutting-edge research in computer vision and machine learning to advance the field.
  4. Implement and optimize machine learning models for real-world applications.
  5. Utilize deep understanding of machine learning algorithms to solve complex computer vision problems.
  6. Stay up-to-date with the latest advancements in computer vision and machine learning.
  7. Design and conduct experiments to evaluate the performance of developed solutions.
  8. Present research findings and technical solutions to cross-functional teams and senior leadership.
  9. Collaborate with product teams to integrate machine learning solutions into Apple's products.
  10. Continuously improve and optimize existing machine learning models and algorithms.
  11. Actively contribute to the development and maintenance of internal tools and systems.
  12. Mentor and guide junior team members and share knowledge with the wider team.
  13. Ensure compliance with data privacy and security standards in all projects.
  14. Contribute to the development and execution of research plans and project timelines.
  15. Proactively identify and propose new opportunities for applying machine learning and computer vision in Apple's products.
Where is this job?
This job is located at Seattle, WA, USA
Job Qualifications
  • Strong Background In Computer Vision And Machine Learning: A Machine Learning Research Engineer At Apple Should Have A Deep Understanding Of Computer Vision Theories And Algorithms, As Well As A Strong Background In Machine Learning Techniques Such As Deep Learning, Neural Networks, And Reinforcement Learning.

  • Proficiency In Programming Languages And Tools: The Ideal Candidate Should Have A Strong Programming Background, With Proficiency In Languages Such As Python, C++, And Matlab. They Should Also Be Familiar With Popular Machine Learning Libraries Such As Tensorflow And Pytorch.

  • Experience In Developing And Implementing Computer Vision Solutions: Candidates Should Have Hands-On Experience In Developing And Implementing Computer Vision Algorithms For Real-World Applications. This Includes Tasks Such As Image Processing, Object Detection, And Segmentation.

  • Research Experience In Machine Learning And Computer Vision: Apple Is Looking For Candidates With A Proven Track Record Of Conducting Research In The Fields Of Machine Learning And Computer Vision. This Could Include Publications In Top Conferences Or Journals, As Well As Experience Working In A Research Lab Or Academic Setting.

  • Excellent Problem-Solving And Communication Skills: As A Machine Learning Research Engineer, The Candidate Will Be Expected To Work On Complex Problems And Collaborate With Cross-Functional Teams. Strong Problem-Solving Skills And The Ability To Communicate Ideas And Results Effectively Are Essential For Success In This Role.

Required Skills
  • Data Analysis

  • Deep Learning

  • Computer Vision

  • Data Visualization

  • Algorithm development

  • Statistical modeling

  • Image Processing

  • Neural Networks

  • Object detection

  • Pattern Recognition

  • Feature Extraction

  • Image Classification

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

  • Empathy

Compensation

According to JobzMall, the average salary range for a Machine Learning Research Engineer (Computer Vision) - SIML, ISE in Seattle, WA, USA is $130,000 - $150,000 per year. However, this can vary depending on the specific company, level of experience, and other factors. Some companies may offer higher salaries for this position, while others may offer lower salaries. It is important to research the specific company and negotiate your salary based on your skills, experience, and the cost of living in the Seattle area.

Additional Information
Apple 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 PostedJanuary 15th, 2025
Apply BeforeMay 22nd, 2025
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About Apple

Apple, Inc. engages in the design, manufacture, and marketing of mobile communication, media devices, personal computers, and portable digital music players. It operates through the following geographical segments: Americas, Europe, Greater China, Japan, and Rest of Asia Pacific. The Americas segment includes both North and South America. The Europe segment consists of European countries, as well as India, the Middle East, and Africa. The Greater China segment comprises of China, Hong Kong, and Taiwan.

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