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# Machine Learning Engineer: Multimodal Sensor Fusion

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Machine Learning, Sensor Fusion, Software Engineering, Pytorch, Deep Learning, Software Coding, Artificial Intelligence Markup Language (AIML)
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=03bfa49a808a9d90

## About the Role

Do you have experience in Software coding?, Do you have a Bachelor's degree?, 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, 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

## 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.","responsibilities":"Leading the development of cutting-edge multimodal fusion algorithms and taking ideas from concept t shipping

Driving cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs

Partnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applications

Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership

Establishing coding standards, best practices, and technical strategies for your team


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