Apple

Multimodal LLMs Research Engineer

United States · On-site
Salary not published
Posted 3 weeks ago

From Apple's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

We are actively seeking exceptional individuals who thrive in collaborative environments and are driven to push the boundaries of what is currently achievable with multimodal inputs and large language models.

Our centralized applied research and engineering group is dedicated to developing cutting-edge Computer Vision and Machine Perception technologies across Apple products. We balance advanced research with product delivery, ensuring Apple quality and pioneering experiences.

A successful candidate will possess deep expertise and hands-on experience across the full lifecycle of Multimodal LLM development, encompassing early ideation, data definition, model training, and fine-tuning.

What they ask for vs. your profile

Must have

LLMs
Computer vision

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Apple

Multimodal LLMs Research Engineer

United States · On-site
Salary not published
Posted 3 weeks ago

From Apple's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

What they ask for vs. your profile

Must have

LLMs
Computer vision

What they ask for vs. your profile

Must have

LLMs
Computer vision

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

AI ready

Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.

Choose a PDF or Word resume

Create a free account to see your score. Your resume stays in this browser until then, and we never store it.

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ATS check

AI ready

Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.

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