16 jobs for "Machine Learning Engineer - AI & ML Evaluation Frameworks"

Machine Learning Engineer - AI & ML Evaluation Frameworks

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Machine Learning Engineer - AI Evaluation & LLM Systems

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Posted on Oct 19

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Platform Engineer, Privacy Preserving ML

At Apple - Cupertino

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C++/Python Software Engineer

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ML Engineer - Automated Evaluation and Adversarial Design

At Apple - Culver City

Posted on Oct 15

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Aesthetics Science ML Research Engineer

At Apple - San Diego

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Senior Machine Learning Engineer- Worldwide Product Marketing

At Apple - Cupertino

Posted on Oct 12

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CVML Engineer - 3D Reconstruction

At Apple - Sunnyvale

Posted on Oct 10

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ML Engineer - Automated Evaluation and Adversarial Design

At Apple - Culver City

Posted on Oct 15

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ML Engineer - Automated Evaluation and Adversarial Design

At Apple - Culver City

Posted on Oct 15

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ML Engineer - Automated Evaluation and Adversarial Design

At Apple - Culver City

Posted on Oct 15

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ML Agent Engineer

At Apple - San Francisco Bay Area

Posted on Oct 19

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Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA$216,200 – $324,800Posted 29 days ago

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The Video Computer Vision organization is building breakthrough technologies for future Apple products. Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that power human understanding and geometric reasoning for health and fitness features. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to solve fundamental challenges in human-centric 3D solutions that will impact millions of users across Apple's ecosystem.

Description

We are looking for a CVML Engineer with deep expertise in multi-view geometry and modern machine learning approaches, and a genuine passion for shipping product features. You will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and geometry-driven health and fitness applications. You will design novel approaches that combine classical geometry with modern deep learning techniques to produce high-quality ground truth data for training and evaluation, as well as develop robust, high-quality runtime algorithms for on-device deployment. You will collaborate with cross-functional teams to define requirements and validation frameworks, and deliver production-ready code optimized for Apple silicon and mobile devices.","responsibilities":"Research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and geometry-driven health and fitness applications.

Design novel approaches that combine classical geometry with modern deep learning techniques to produce high-quality ground truth data for training and evaluation, as well as develop robust, high-quality runtime algorithms for on-device deployment.

Collaborate with cross-functional teams to define requirements and validation frameworks, and deliver production-ready code optimized for Apple silicon and mobile devices.

Preferred Qualifications

MS or PhD in Computer Vision, Computer Graphics, Machine Learning, Computer Science, or related fields.

Experience with human-centric 3D and 4D reconstruction approaches, datasets, and evaluation methodology.

Background in differentiable optimization and geometric deep learning approaches.

Experience optimizing ML models for mobile deployment and resource-constrained environments.

Knowledge of SLAM, bundle adjustment, and photogrammetric reconstruction techniques.

Proficiency in C/C++.

Minimum Qualifications

BS degree in Computer Vision, Machine Learning, Computer Graphics, or related fields and a minimum of 10 years relevant industry experience

Deep understanding of multi-view geometry and 3D reconstruction pipelines.

Strong proficiency in Python and PyTorch with solid software engineering practices.

Solid mathematical foundation in linear algebra, optimization, and geometry processing.

Experience with modern ML architectures and their applications to 3D problems.

Excellent communication skills and proven ability to work effectively in cross-functional teams.

Self-motivated with a track record of prioritizing effectively and delivering on schedule.

Pay & Benefits

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 $216,200 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

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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