Machine Learning Research Engineer
Roboflow$200,000 - $275,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries
Requirements
- Actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship
- Programming skills in Python, C++, CUDA, and Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
- Strong background in research with publications at top conferences
- Excellent communication and collaboration skills
- Research experience in at least one of the following areas: 3D Vision and Scene Understanding, Optical Flow/Scene Flow, SLAM, Depth Estimation, Digital Twins, Human-Centric Vision, Human Motion Modeling, Human avatar creation (Gaussian Avatar, Neural Human Avatars, Text to Avatar Generation), Physics-Based Clothing/Hair/Body Simulation, Neural Rendering and Generative 3D, Diffusion Models, World Models, Neural Radiance Fields (NeRFs), Novel View Synthesis, 3D Content Creation, Model Architectures and Efficiency, Efficient Deep Learning, Model pruning and compression, Efficient vision transformers, Neural Architecture Search (NAS), Multimodal and Vision-Language Models, Synthetic data generation, Weather and Atmospheric Simulation
- Experience with large-scale model training (plus)
Responsibilities
- Design and implement novel computer vision and deep learning methods
- Collaborate with other team members, teams, and/or external researchers
- Transfer research to product groups to enable new products or types of products
- Deliver results including prototypes, patents, products, and/or publish original research
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the compensation for the NVIDIA 2026 internships?
The internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience.
Is this internship remote or does it require being on-site?
This information is not specified in the job description.
What skills are required for these NVIDIA research internships?
Candidates need to be pursuing a PhD in Computer Science, Electrical Engineering, or related field, with programming skills in Python, C++, CUDA, and Deep Learning Frameworks like PyTorch or TensorFlow, a strong research background with publications at top conferences, and excellent communication and collaboration skills.
What is the company culture like at NVIDIA for interns?
NVIDIA seeks strategic, ambitious, hard-working, and creative individuals passionate about tackling major challenges, offering hands-on experience with industry-leading Computer Vision and Deep Learning teams in a collaborative environment.
What makes a strong candidate for these NVIDIA PhD internships?
Strong candidates are actively pursuing a PhD, have a strong research background with publications at top conferences, relevant programming skills and experience in areas like 3D Vision or Neural Rendering, plus excellent communication skills; experience with large-scale model training is a plus.
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees