3 Nerf Jobs

As a Computer Vision Lead at EdgeFleet.AI, you will be at the forefront of creating an unparalleled intelligence that transcends conventional boundaries. You will play a pivotal role in shaping a shared brain for autonomous systems, where drones, robots, and fleets not only operate but truly comprehend their surroundings. Your expertise will be instrumental in shaping the future of computer vision, where perception knows no limits. Beyond mere recognition, you will delve into the realms of prediction, reconstruction, and gaining profound insights into a constantly evolving world. We are looking for a visionary individual who thrives at the bleeding edge of technology, with a deep understanding of concepts like SLAM, NeRF, Gaussian Splatting, multi-view geometry, 3D reconstruction, and self-supervised learning. Your role will extend beyond mere coding, as you will be tasked with envisioning pipelines that transform pixels into endless possibilities. If you have ever envisioned teaching machines to see the unseen, developing models capable of reconstructing, interpreting, and predicting real-world dynamics, and creating vision systems that redefine the landscape of autonomous intelligence, then this opportunity is tailor-made for you. Join us at EdgeFleet.AI to not only build computer vision models but to architect the eyes of the future. Your contributions will go beyond algorithms bring your imagination, audacity, and passion to the table. Together, we will empower machines to not just see but perceive with a purpose. Don't hesitate to reach out to explore this exciting opportunity. The world is fast-paced, and so are we. Let's shape the future of AI, autonomy, and deep tech together. #EdgeFleetAI #ComputerVision #AI #Autonomy #DeepTech #OneMindAnyMachine,

This role is for one of Weekday's clients. You will be working as a Lead Computer Vision & Gen AI Engineer based in Gurugram on a full-time basis. With a minimum of 5 years of experience, you will be responsible for designing and implementing diffusion models for furniture replacement in images and achieving ultra-realistic re-rendering. If you enjoy tackling complex AI challenges and are enthusiastic about developing innovative solutions in computer vision and image generation, this is the opportunity to redefine the future of virtual furniture visualization. Your main responsibilities will include designing, developing, and optimizing diffusion models tailored for furniture detection, replacement, and placement in images, as well as creating ultra-realistic image re-rendering pipelines for seamless furniture integration in various environments. You will collaborate closely with product and design teams to meet requirements and provide impactful AI-powered solutions. Additionally, you will research and implement cutting-edge generative AI techniques for photorealistic image synthesis, train, fine-tune, and deploy models for high accuracy and performance, and develop scalable APIs and systems to integrate model capabilities into production workflows. To excel in this role, you should have 3-4 years of experience in Generative AI with a focus on diffusion models and demonstrable expertise in furniture or object replacement and re-rendering using generative models. Proficiency in frameworks like PyTorch, expertise in fine-tuning diffusion models, distributed training using CUDA, knowledge of GANs, NeRF, or other generative models, familiarity with 3D rendering pipelines, and proficiency in working with large datasets are essential skills required. Strong analytical and problem-solving skills, excellent communication, and the ability to articulate complex ideas clearly, as well as a proactive and collaborative mindset for teamwork, are valuable soft skills for this role.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, where science meets art and high tech surpasses mere computer code, your work will have a global impact, from movie theaters to smartphones. Revolutionizing how people create, deliver, and enjoy entertainment worldwide is our mission, and to achieve this, we seek top talent. Dolby provides the resources of a large corporation combined with the opportunity for individuals to truly make a difference and receive recognition for their contributions. Alongside a collegial culture, challenging projects, and competitive compensation and benefits, this role is based in Bangalore, offering a mix of office and work-from-home flexibility. Dolby's research division is currently seeking a volumetric imaging researcher to contribute to pioneering efforts in developing next-generation volumetric and spatial scene understanding and representation technologies. As a member of the Multimodal Experience Lab within Dolby's Advanced Technology Group, you will collaborate with a skilled team of researchers to advance volumetric scene representation, novel view synthesis, scene analysis and understanding, and scene rendering technologies. Your key responsibilities will involve leading research efforts beyond the current state of the art, particularly focusing on the composition and de-composition of volumetric scenes, as well as the manipulation of lighting, shadows, and occlusion. In addition to conducting fundamental research, you will be involved in technology transfer to product groups and patent application drafting. Key Responsibilities: - Conduct cutting-edge research in computer graphics and view synthesis - Collaborate with a top-notch research team to define and execute research roadmaps - Implement strong development methodology, including quality metrics and test content, to validate algorithmic solutions - Utilize AI and deep learning techniques to innovate and improve applications - Share knowledge through technical whitepapers, publications, and internal presentations - Transfer technology to product groups and contribute to patent applications - Stay informed about the latest research in computer graphics and computer vision fields Requirements: - Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or related fields - Demonstrated strong publication record in major conferences/journals - Proficiency in view synthesis and/or light-field research - Familiarity with scene representation methods such as Gaussian Splatting or NeRF - Experience in computer graphics and computer vision R&D - Proficiency in research-oriented programming languages (Python, Matlab, or C/C++) - Experience in building and testing models in Pytorch/Tensorflow environments - Excellent written and verbal communication skills - Ability to collaborate effectively with colleagues in research and software development - Expertise in deep learning-based solutions Nice to have: - Experience with real-time graphics (OpenGL/Cuda/DirectX/Vulkan) - Familiarity with Pytorch3D - Experience with game engines (Unreal, Unity) - Exposure to XR environments, capture, and devices,