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Apprentice Spatial Audio Algorithms Jobs in California

... spatial data processing for point cloud analysis, object detection, segmentation, and scene ... audio, and Building Information Models (BIM). • Work closely with the labeling and data ...

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...

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Apprentice Spatial Audio Algorithms information

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Machine Learning Engineer: Multimodal Sensor Fusion

Apple

Sunnyvale, CA • On-site

Full-time

Re-posted 22 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of perception, intelligence, and real-time processing. We seek an experienced engineer with demonstrated expertise in applying deep learning to non-vision signals such as audio, motion, and sensor data to shape next-generation products impacting millions daily.
Ready to make an impact?
Description
We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting-edge research into production-ready solutions that delight users at scale.
In this role, you will collaborate closely with hardware, software and user-experience teams to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments.
Your work will span the full spectrum from evaluating breakthrough research to solving complex real-world problems, architecting model efficiency strategies for on-device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team.
Minimum Qualifications
B.S and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields.
Experience in deep learning frameworks such as PyTorch
Proficiency in Python development, using best coding practices
Preferred Qualifications
Ph.D. or M.S., with 3+ years of industry experience in deep learning or related fields.
Excellent math skills, including linear algebra, computational science and optimization
Creativity and curiosity for solving highly complex problems
Excellent communication and collaboration skills
Hands-on experience of working with sensors and hardware
An interest in incubating ideas and taking them to finish
Experience shipping algorithms or publishing in top tier AIML conferences

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976