14 jobs for "CV and ML Engineer"

CV and ML Engineer

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CV and ML Engineer

At Apple - Seattle

Posted on Oct 16

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Machine Learning Engineer Intern (Global E-Commerce) - 2027 Start

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Machine Learning Scientist Intern (TikTok - Content Ecology - LLM application) - 2027 Start (PhD)

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Machine Learning Engineer Project Intern (MultiModal ML Direction) - 2026 Start (BS/MS)

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Machine Learning Engineer, Monetization Data Alignment

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Apple

CV and ML Engineer

Seattle, WA$175,000 – $308,500Posted 22 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
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65% would recommend this company to other women
66% say the CEO supports gender diversity

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Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something, you'll add something!

We are a team of computer vision and machine learning engineers building real-time 3D perception and spatial understanding technologies for current and future Apple products. The VCV org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We are looking for engineers with expertise in deep learning for 3D computer vision and on-device model optimization.

In this role, you will help design, build, and ship core 3D perception technologies used by millions of users across Apple's ecosystem.

Description

You will work on cutting-edge computer vision and machine learning problems, developing algorithms and systems that enable 3D spatial understanding. This includes training and optimizing deep learning models, building data pipelines, running experiments, and integrating models into production software systems.

You will be responsible for developing and optimizing deep learning models for 3D perception tasks, building and maintaining training data pipelines, improving model quality and efficiency through experimentation, and integrating trained models into real-time production systems. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.

Preferred Qualifications

PhD, or equivalent practical experience, in Computer Science, Machine Learning, Computer Vision, or a related technical field

Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc), or a strong track record of applying deep learning techniques to real-world products

Experience with large-scale distributed training and model parallelism

Familiarity with 3D computer vision concepts: multi-view geometry, depth sensing, camera models, or 3D reconstruction

Experience with training data curation and pipeline engineering

Experience with model optimization for production deployment

Proficiency in C++ or experience integrating ML models into performance-critical systems

Strong communication skills and ability to present research findings to both technical and non-technical audiences

Minimum Qualifications

Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field

Experience in deep learning with demonstrated work in 3D vision or geometric deep learning

Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX

Experience with rapid prototyping, reproduction, and validation of research ideas

Strong mathematical foundations in machine learning, computer vision, or related fields

Experience with foundation model architectures and training methodologies

Experience working effectively in a multi-functional, collaborative environment

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 $175,000 and $308,500, 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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