Research Scientist/ Engineer - Photorealism

Socket.dev; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Socket.dev in Santa Clara, CA, is seeking research scientists/engineers to push breakthroughs in ML, computer vision, and related areas. You will work with world-class researchers and engineers on image/video synthesis, 3D reconstruction, and neural rendering, contributing to cutting-edge technologies powering the Apple ecosystem.

You should have a strong publication record in top conferences, deep learning systems experience, and proficiency in Python and ML frameworks like PyTorch or Jax.

Qualifications

• Publication record in top ML/CV conferences; capable of state-of-the-art prototypes.
• Fluent across ML research stack from systems to algorithms.
• Fluency in Python; strong ML/deep learning practices.
• Proficiency with ML frameworks like PyTorch or Jax; clean code.

Responsibilities

• Develop breakthrough ML/vision research in image/video synthesis and 3D reconstruction.
• Collaborate with world-class researchers and engineers on cutting-edge projects.
• Prototype end-to-end systems and publish results in top venues.

Skills

Publication record

Research in ML/vision

Python coding

Education

Bachelor's, Master's, or PhD in CS/EE or equivalent

Tools

PyTorch

Jax

Software engineering

Job description

DESCRIPTION

We\'re seeking research scientists/engineers to create breakthrough innovations in machine learning, computer vision, computer graphics, and related areas. We are particularly interested in image and video synthesis, 3D reconstruction, and neural rendering. You will work directly with an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

MINIMUM QUALIFICATIONS

• Publication record in relevant conferences (e.g., CVPR, ECCV, ICCV, ICLR, ICML, NeurIPS, SIGGRAPH, etc). Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.


• Comfortable across the entire ML research stack, from low-level system programming to high-level algorithm development.


• Solid software engineering skills in complex systems. Fluency in Python. Expertise in ML algorithms and top practices for working with deep learning systems.


• Proficiency with ML modeling frameworks (PyTorch, Jax, etc.). Strong overall software development approach.


• You deliver clean, well-tested code.

PREFERRED QUALIFICATIONS

• Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering or equivalent academic or professional experience.


• Research experience in 3D reconstruction, neural rendering, view synthesis, image & video synthesis.