ZipRecruiter

Log In

1

Nerf Machine Learning Jobs in Virginia (NOW HIRING)

All JobsNerf Machine Learning JobsNerf Machine Learning Jobs in Virginia

Nerf Machine Learning information

What is the difference between Nerf Machine Learning vs Computer Vision Engineer?

AspectNerf Machine LearningComputer Vision Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with machine learning frameworksDegree in Computer Science, Electrical Engineering, or related fields; experience with image processing and vision algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural rendering and 3D modelingTech companies, research institutions, industries involving image analysis and autonomous systems
Industry UsagePrimarily in AI research, neural rendering, 3D scene reconstructionIn 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.
What are popular job titles related to Nerf Machine Learning jobs in Virginia? For Nerf Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Nerf Machine Learning jobs in Virginia look for? The top searched job categories for Nerf Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Nerf Machine Learning jobs? Cities in Virginia with the most Nerf Machine Learning job openings:
Nerf Machine Learning jobs near you

Machine Learning Infrastructure Engineer 3D Model Inference Deployment

Framework Ventures

Vienna, VA • On-site

$165 - $230/hr

Other

Medical, Dental, Vision, PTO

Posted 2 days ago

New

Job description

Job Overview

Genies is an AI avatar and games technology company powering the next generation of digital experiences. We are seeking an ML Infrastructure Engineer to design and implement machine learning models, conduct advanced data analysis, and develop sophisticated algorithms to tackle complex optimization and deployment challenges.

Responsibilities
  • Deploy generative 3D models (Diffusion, GANs, VAEs, NeRF, Gaussian Splatting) in cloud environments.
  • Optimize inference pipelines (ONNX, TensorRT, Triton, CUDA, PyTorch) for 3D model serving.
  • Develop scalable cloud architectures (AWS, Kubernetes, Lambda, GitHub Actions) for real-time 3D asset generation.
  • Work with graphics teams to integrate ML models into rendering pipelines.
  • Implement distributed training and fine‑tuning workflows for 3D models.
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
  • 5+ years of experience in machine learning or related fields.
  • Experience with data structures, data modeling, and software architecture.
  • ML deployment & optimization (TensorRT, ONNX, Triton, CUDA, PyTorch).
  • Cloud orchestration & CI/CD (AWS, Kubernetes, GitHub Actions, Terraform).
  • Scalability experience with large 3D datasets & generative models.
  • Knowledge of 3D data formats (USD, glTF, FBX) and processing.
  • C++ experience for high‑performance ML execution.
Benefits
  • Starting Salary Range: $165,000 - $230,000
  • Flexible hours, work‑from‑home policy, and a supportive team environment.
  • Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available).
  • Dental and Vision Insurance.
  • Competitive salaries for all full‑time employees.
  • Unlimited paid time off, sick time, and paid company holidays.
  • Paid parental leave, bereavement leave, and jury duty leave for full‑time employees.
  • Health & wellness support through programs such as monthly wellness reimbursement.
  • Open, bright office space with a slide! Choice of MacBook or Windows laptop.

Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone.

#J-18808-Ljbffr

Apply