1,957 jobs for "Research Engineer"

Generative AI Engineer, Image/Video Restoration

At Apple

Posted on Oct 15

View job Apply on company site

Machine Learning Engineer - LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling

At Apple - Cupertino

Posted on Oct 15

View job Apply on company site

Postdoctoral Appointee: Machine Learning & Artificial Intelligence

At Sandia National Laboratories

Posted on Oct 15

View job Apply on company site

AIML - Machine Learning Engineer, Foundation Models

At Apple - Cupertino

Posted on Oct 14

View job Apply on company site

Senior Search Engineer - Services Special Projects

At Apple - Cupertino

Posted on Oct 10

View job Apply on company site

Director, Tech Recruiting

At Capital One - McLean

Posted on Oct 1

View job Apply on company site

Senior Chemical Engineer

At Nike

Posted on Sep 17

View job Apply on company site

Policy Deployment Lead, GenAI and Emerging Products

At TikTok

Posted on Jun 15

View job Apply on company site

Machine Learning Engineer - Search (NLP) - Singapore

At TikTok

Posted on Oct 15

View job Apply on company site

Software Developer II - Indoor GIS AI and Reality

At Esri - Redlands

Posted on Sep 23

View job Apply on company site

Intern, R&D Undergraduate Summer - Computer Science Research Institute (CSRI), CA, Hybrid

At Sandia National Laboratories

Posted on Oct 28

View job Apply on company site

Intern, R&D Graduate Summer - Computer Science Research Institute (CSRI), CA, Hybrid

At Sandia National Laboratories

Posted on Oct 28

View job Apply on company site

Intern, R&D Undergraduate Summer - Science of Extreme Environments Research and Innovation (SEERI) Pulsed Power, Onsite

At Sandia National Laboratories

Posted on Oct 16

View job Apply on company site

Intern, R&D Graduate Summer - Science of Extreme Environments Research and Innovation (SEERI) Pulsed Power, Onsite

At Sandia National Laboratories

Posted on Oct 16

View job Apply on company site

Color Material Finish : Engineering Program Manager

At Apple - Cupertino

Posted on Oct 14

View job Apply on company site

AIML - Machine Learning Research Lead, RL Agents, MLR

At Apple - Cupertino

Posted on Oct 9

View job Apply on company site

Intern, R&D Graduate Summer - Computer Science Research Institute (CSRI),Onsite

At Sandia National Laboratories

Posted on Sep 17

View job Apply on company site

Intern, R&D Undergraduate Summer - Computer Science Research Institute (CSRI),Onsite

At Sandia National Laboratories

Posted on Sep 13

View job Apply on company site

Senior Research Scientist, TikTok - Trust and Safety

At TikTok - San Jose

Posted on May 12

View job Apply on company site

Business Analytics Lead - Data, Modeling & Analytics

At PNC Financial Services Group - Pittsburgh

Posted on Oct 31

View job Apply on company site

Apple

Generative AI Engineer, Image/Video Restoration

Posted 24 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
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

We are seeking a highly skilled Generative AI Engineer to join our team and drive innovation in image and video restoration. You will work on state-of-the-art algorithms for deblurring, denoising, super-resolution, and related tasks, leveraging generative models such as diffusion models, GANs, and transformers. This role requires both strong research ability and practical engineering skills to develop scalable solutions for real-world applications.

Description
- Research, design, and implement generative AI models for image and video restoration (e.g., deblurring, denoising, super-resolution, inpainting, frame interpolation).
- Build and optimize training pipelines for large-scale datasets, including preprocessing, augmentation, and distributed training.
- Evaluate restoration performance using both objective metrics (PSNR, SSIM, LPIPS) and subjective/perceptual quality measures.
- Develop scalable and efficient inference pipelines, optimizing for latency, throughput, and memory.
- Stay current with the latest research in computer vision and generative AI, and translate novel ideas into practical solutions.
- Collaborate with cross-functional teams to integrate restoration models into production systems.

Preferred Qualifications
Track record of publications or open-source contributions in generative AI, computer vision, or image/video restoration.
Experience with real-world video data processing (e.g., raw domain, HDR pipelines, ISP sharpening).
Familiarity with cloud-based large-scale dataset management (e.g., S3, distributed file systems).
Experience with real-time or near-real-time video restoration and performance optimization.
Knowledge of advanced motion analysis (scene change detection, temporal consistency checks, optical flow with RAFT/PWC-Net).
Familiarity with deployment on diverse hardware (edge devices, mobile, GPU acceleration).
Practical experience with efficient model deployment, including model compression, quantization, distillation, and hardware optimization (e.g. TensorRT, mixed precision).

Minimum Qualifications
Master's or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
Strong background in computer vision and deep learning, with proven experience in generative models (diffusion, GANs, transformers).
Proficiency in Python and deep learning frameworks (PyTorch preferred).
Experience with large-scale image/video datasets and distributed training (multi-GPU or multi-node).
Solid understanding of image and video restoration metrics (PSNR, SSIM, LPIPS) and perceptual evaluation.
Hands-on experience with video preprocessing, such as motion estimation and optical flow, frame alignment and stabilization, temporal consistency techniques, and video encoding/decoding.
Strong software engineering skills: clean code, Git, debugging, optimization.

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

View company profile