Machine Learning Engineer

Apple Inc.
Sunnyvale, CA, United States
about 1 month ago
Apply on www.themuse.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$184,700.0
Working hours
Regular working hours

Tech stack

Computer Vision Computer Engineering Computer Graphics Python (Programming Language) Machine Learning Software Engineering Data Processing Pytorch Deep Learning Information Technology

Job description

Our team delivers algorithms that power Apple Vision Pro’s Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users., Apple’s Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

Requirements

Passion for delivering high quality features to large groups of diverse end-users

Excellent communication and experience working with multi-functional teams

Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule

MS degree in computer vision, computer graphics, machine learning or related field

PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

Minimum Qualifications

Software engineering skills and proficiency in Python

Experience with PyTorch

Independent problem solving skills

BS degree and 10+ years of experience

Benefits & conditions

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.themuse.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:47 min

Contrasting classical machine learning with deep learning approaches

Adrian Spataru +1 · LIVE

5:55 min

Practical applications and use cases for computer vision

Flo Pachinger · LIVE

40 sec

Navigating Apple's evolving on-device AI and machine learning stack

Precious Osaro Precious Osaro · World Congress 2026 Europe

3:47 min

From crafted algorithms to deep learning and pattern recognition

Jonas Andrulis Jonas Andrulis · World Congress 2024

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

Videos

See all

Related articles

See all