Back to Jobs

Senior Data Scientist - Machine Learning & Video Intelligence - Remote at Apple - $27/Hour

Remote, USA Full-time Posted 2026-06-16

Join the Innovative Team at Apple: Senior Data Scientist - Machine Learning & Video Intelligence

Are you passionate about developing cutting-edge machine learning models and working with large-scale video intelligence data? Do you have a strong background in computer science and a keen eye for detail? Apple is seeking a highly skilled Senior Data Scientist to join our Video Planning team, focusing on machine learning and video intelligence. As a remote employee, you will have the opportunity to work on exciting projects and collaborate with talented professionals from around the world.

About Apple and Our Culture

At Apple, we believe in innovation, creativity, and collaboration. Our company culture values diversity, inclusion, and community involvement. We strive to create products that not only revolutionize the way people interact with technology but also make a positive impact on society. Our employees are passionate, driven, and committed to delivering exceptional results. By joining our team, you will become part of a dynamic and supportive work environment that encourages growth, learning, and creativity.

Job Summary

As a Senior Data Scientist in our Video Planning team, you will play a crucial role in developing and deploying machine learning models for video intelligence applications. You will work closely with cross-functional teams, including computer vision, machine learning, and engineering, to design and implement large-scale data processing pipelines. Your primary focus will be on analyzing and modeling complex video data to drive business insights and inform product decisions.

Key Responsibilities

  • Design, develop, and deploy machine learning models for video intelligence applications, including object detection, tracking, and classification.
  • Collaborate with cross-functional teams to integrate machine learning models with computer vision and engineering systems.
  • Analyze large-scale video data to identify trends, patterns, and insights that inform product decisions.
  • Develop and maintain large-scale data processing pipelines to support video intelligence applications.
  • Work with stakeholders to understand business requirements and develop solutions that meet their needs.
  • Evaluate and improve the performance of machine learning models and data processing pipelines.
  • Communicate complex technical concepts and results to non-technical stakeholders.
  • Stay up-to-date with industry trends and advancements in machine learning and video intelligence.

Essential Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, or a related field.
  • 5+ years of experience in machine learning, computer vision, or a related field.
  • Strong programming skills in languages such as Python, C++, or Java.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong understanding of computer vision and machine learning concepts, including object detection, tracking, and classification.
  • Experience working with large-scale datasets and data processing pipelines.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience with video intelligence applications, including video analysis and object detection.
  • Familiarity with Apple's products and services, including ARKit, Core ML, and Vision.
  • Experience with cloud-based technologies, including AWS, Azure, or Google Cloud.
  • Strong understanding of software development principles, including version control and testing.
  • Experience with agile development methodologies and collaborative software development tools.

Skills and Competencies

  • Strong analytical and problem-solving skills, with the ability to analyze complex data and drive business insights.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Strong attention to detail and organizational skills, with the ability to manage multiple projects and priorities.
  • Ability to stay up-to-date with industry trends and advancements in machine learning and video intelligence.
  • Strong passion for innovation and creativity, with a desire to develop cutting-edge machine learning models and video intelligence applications.

Career Growth Opportunities and Learning Benefits

At Apple, we are committed to helping our employees grow and develop their skills. We offer a range of learning and development programs, including:

  • Technical training and certification programs.
  • Mentorship and coaching opportunities.
  • Leadership development programs.
  • Industry conferences and workshops.
  • Access to cutting-edge technologies and tools.

Work Environment and Company Culture

As a remote employee at Apple, you will have the flexibility to work from anywhere and collaborate with talented professionals from around the world. Our company culture values diversity, inclusion, and community involvement. We strive to create a work environment that is inclusive, supportive, and dynamic.

Compensation, Perks, and Benefits

We offer a competitive compensation package, including:

  • $27/hour salary.
  • Comprehensive benefits package, including health, dental, and vision insurance.
  • Retirement savings plan.
  • Paid time off and holidays.
  • Access to Apple's employee perks, including discounts on Apple products and services.

Conclusion

If you are passionate about machine learning, video intelligence, and innovation, we encourage you to apply for this exciting opportunity at Apple. As a Senior Data Scientist in our Video Planning team, you will have the chance to work on cutting-edge projects, collaborate with talented professionals, and drive business insights that inform product decisions. We look forward to hearing from you!

Apply for this job

Similar Jobs

Remote Amazon Data Entry Specialist - Full-Time & Part-Time Opportunities with Global E-commerce Leader - Work from Home

Remote, USA Full-time

Data Entry Officer - Amazon Australia Operations - E-commerce and Technology Giant - Data Accuracy and Integrity Expert

Remote, USA Full-time

Customer Support Associate Analyst - American Airlines $28/Hour - Texas, USA

Remote, USA Full-time

School Nurse - LPN - GIS in Chatham, IL - Supporting Student Health and Education

Remote, USA Full-time

Data Analyst - Business Insights and Operations Optimization - Remote at Wayfair - Join Our Dynamic Team in Global Projects and Supply Chain

Remote, USA Full-time

IT Business Analyst - Delta Airlines Remote Data Entry Job - $27/Hour - Full-Time Opportunity with Industry Leader

Remote, USA Full-time

Part-Time Remote Customer Service Associate at Amazon - Delivering Exceptional Customer Experiences from the Comfort of Your Home

Remote, USA Full-time

Experienced Remote Data Entry Specialist - Flexible Work-from-Home Opportunity in Chennai with Global Company

Remote, USA Full-time

Experienced Customer Care Professional - Remote American Express Customer Support Opportunity with Competitive Pay and Comprehensive Benefits

Remote, USA Full-time

Experienced Part-Time Ramp Agent - Remote Customer Support Opportunities with American Airlines

Remote, USA Full-time

Manager, Quality Field Operations - Field Based California

Remote, USA Full-time

Experienced Customer Support Representative – Entry-Level Chat Support Agent (Remote) – No Degree Required – Competitive Hourly Pay

Remote, USA Full-time

Einsteiger / Quereinsteiger IT - Junior Support Engineer (m/w/d), remote

Remote, USA Full-time

Advanced Hardware Security Tester

Remote, USA Full-time

[Remote-Position] Customer Service Officer - Remote Work

Remote, USA Full-time

Experienced Part-Time Customer Service Representative – Remote Work Opportunity with arenaflex

Remote, USA Full-time

Experienced Full Stack Data Entry Specialist – Entertainment Industry Remote Opportunity

Remote, USA Full-time

Experienced Remote Data Entry Operator – Flexible Work Schedule and Competitive Compensation

Remote, USA Full-time

Security & Privacy Architect

Remote, USA Full-time

Overnight Remote Work Opportunities: $25-$35/hr With No Experience or Degree Requirements

Remote, USA Full-time