Job description

We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users. In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models. Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing. B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields. Strong experience in Python. Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems. M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields. Working experience in C++ or Swift. Excellent math skills, including linear algebra, computational science and optimization. Creativity and curiosity for solving highly complex problems. Excellent communication and collaboration skills. An interest in incubating ideas and taking them to finish. Experience with iOS/macOS development. Experience shipping algorithms or publishing in top tier CVML conferences.

Requirements

Must-haves

B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
Strong experience in Python.
Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
Working experience in C++ or Swift.
Excellent math skills, including linear algebra, computational science and optimization.
Creativity and curiosity for solving highly complex problems.
Excellent communication and collaboration skills.
An interest in incubating ideas and taking them to finish.
Experience with iOS/macOS development.
Experience shipping algorithms or publishing in top tier CVML conferences.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonmlswift

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

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