ML Engineer Multimodal Sensing - Incubation at Apple
Cupertino, California, USA -
Full Time


Start Date

Immediate

Expiry Date

25 May, 25

Salary

264200.0

Posted On

25 Feb, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Robotics, Sensor Fusion, Computer Science, Computer Vision, Aiml

Industry

Information Technology/IT

Description

SUMMARY

Posted: Feb 19, 2025
Role Number:200591834
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring curiosity, passion, and dedication to your job and there’s no telling what you could accomplish! Our Camera Incubation team is a multi-disciplinary team responsible for looking down the road and prototyping new experiences, architectures and technologies. We collaborate with design and product teams to bring new features across the Apple product line. Join us to explore together exciting new concept prototypes and see them realized in action!

DESCRIPTION

We are looking for a creative prototyping engineer with excellent practical knowledge of deep learning, ML tools and architectures, and multi-modal sensing applied to physical spaces. The successful candidate will have experience with sensing architectures, acquisition and fusion of multimodal signals in particular using state-of-the-art AI technologies applicable to mobile, wearable, and robotic systems. A design-centric prototyping mindset, and the ability to rapidly adjust to changes in investigation directions based on insights acquired from experimental data, are essential advantages. The candidate needs to be able to clearly articulate what motivates a particular approach, and its pros and cons as well as risks.

MINIMUM QUALIFICATIONS

  • Ph. D./M.Sc. in AI/ML, Computer Science, Robotics, Electrical Engineering or similar field.
  • Strong background in Computer Vision and Machine Learning, and multimodal sensor fusion, using generative AI principles and architectures
  • Comfortable with using state-of-the-art Transformers, and Spiking networks (SNNs)
  • Experience developing data-driven, deep learning solutions for multimodal perception problems
  • Strong Python programming skills, with proficiency in ML tools/frameworks such as PyTorch
  • Self-motivated, creative innovator with a passion for exploring new technologies
  • Ability to adopt or implement established methodologies and apply statistical analysis in problem-solving

PREFERRED QUALIFICATIONS

  • 5+ years of proven experience in AIML
  • Experience with asynchronous sensing systems
  • Experience with near-sensor computation
  • Understanding of physical characteristics of imaging and sensing systems
  • Knowledge of robot operating system (ROS) suite, and familiarity with robot-specific sensing and interaction problem space
  • Experienced in an iterative prototyping environment
  • Thrives in a multi-functional work environment and is effective communicating across different teams
Responsibilities

Please refer the Job description for details

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