... Machine Learning and SW Engineers. Computer Vision Engineer Responsibilities: * Lead development, refinement, and launch of CV/ML solutions for explicit and NERF-based simulation of eye and upper ...
... Machine Learning and SW Engineers. Computer Vision Engineer Responsibilities: * Lead development, refinement, and launch of CV/ML solutions for explicit and NERF-based simulation of eye and upper ...
... on machine learning * 3+ years research experience with at least two modalities (language, vision ... NeRF, equivariant GNNs). * Strong publication or open-source track record in ML for physical ...
... on machine learning * 3+ years research experience with at least two modalities (language, vision ... NeRF, equivariant GNNs). * Strong publication or open-source track record in ML for physical ...
... Vision, Machine Learning, or a related field (or equivalent experience) with 12+ years of ... Experience with Gaussian Splatting, NeRF, differentiable rendering, rasterization, neural rendering ...
... Vision, Machine Learning, or a related field (or equivalent experience) with 12+ years of ... Experience with Gaussian Splatting, NeRF, differentiable rendering, rasterization, neural rendering ...
Nerf Machine Learning information
What is the difference between Nerf Machine Learning vs Computer Vision Engineer?
| Aspect | Nerf Machine Learning | Computer Vision Engineer |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; experience with machine learning frameworks | Degree in Computer Science, Electrical Engineering, or related fields; experience with image processing and vision algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on neural rendering and 3D modeling | Tech companies, research institutions, industries involving image analysis and autonomous systems |
| Industry Usage | Primarily in AI research, neural rendering, 3D scene reconstruction | In autonomous vehicles, robotics, healthcare imaging, and security systems |
While both roles involve advanced AI techniques, Nerf Machine Learning focuses on neural radiance fields and 3D scene understanding, whereas Computer Vision Engineers specialize in analyzing and interpreting visual data from images and videos. The roles often overlap in AI research but serve different application areas within the tech industry.
How does a Nerf machine learning engineer typically collaborate with 3D artists and graphics engineers in a project?
As a Nerf Machine Learning Engineer, you’ll frequently work alongside 3D artists and graphics engineers to integrate neural radiance field (NeRF) models into real-time rendering pipelines. Collaboration often involves translating real-world scene data processed by NeRF into formats that can be manipulated by artists, as well as optimizing model performance for interactive applications. Regular meetings and iterative feedback ensure that visual quality and technical requirements align, making strong communication and flexibility essential for success in this role.
What are the key skills and qualifications needed to thrive as a NeRF (Neural Radiance Fields) machine learning engineer, and why are they important?
To thrive as a NeRF Machine Learning Engineer, you need a strong background in computer vision, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Proficiency with Python, PyTorch or TensorFlow, 3D graphics libraries, and familiarity with NeRF-specific frameworks is essential. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this field. These skills enable the development of advanced 3D scene reconstruction models and ensure efficient collaboration within multidisciplinary teams.
What is a Nerf machine learning engineer?
Nerf Machine Learning jobs involve working with Neural Radiance Fields (NeRF), a type of machine learning model used for 3D scene reconstruction from 2D images. Professionals in this field develop, train, and optimize NeRF algorithms to create realistic 3D representations for applications in computer vision, graphics, virtual reality, and robotics. These roles typically require strong backgrounds in deep learning, computer vision, and software engineering, along with experience in frameworks like PyTorch or TensorFlow.
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What job categories do people searching Nerf Machine Learning jobs in New York look for? The top searched job categories for Nerf Machine Learning jobs in New York are:
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What cities in New York are hiring for Nerf Machine Learning jobs? Cities in New York with the most Nerf Machine Learning job openings:
Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
136th of 242 rated software companies
Job description
Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to lead projects on feature-based eye tracking and human eye simulation to power AR/VR eye tracking solutions in our products including the Quest line. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers.
Computer Vision Engineer Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Computer Vision Engineer Responsibilities:
- Lead development, refinement, and launch of CV/ML solutions for explicit and NERF-based simulation of eye and upper face images used in training of AR/VR eye tracking models and system evaluation
- Explore, innovate, and leverage novel approaches, from internal and external sources, to improve the accuracy, performance, and generalizability of geometric and explicit optical models used in eye tracking pipelines
- Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and keypoint detection and extraction from eye and face images
- Drive cross-functional collaborations with partner teams including but not limited to physics simulation, ML modeling, hardware development, and product design
- Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Background in computer vision, classical image processing, and 2D/3D spatial data analysis
- Experience with computer graphics, and physics-based/geometric modeling
- Working knowledge of imaging systems and optics simulation
- Direct background in machine learning, deep learning, neural networks and similar data-driven techniques
- Experience mentoring and acting as project technical lead
Preferred Qualifications:
- Experience with latest graphics techniques such as NERF and Gaussian splatting
- Experience in eye and face simulation and image generation
- Knowledge of eye tracking techniques and models
- Master's or PhD in engineering, physics, or computer science
- Background in AR/VR
- Familiarity with procedural rendering engines, ray tracing, and path tracing
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US