4 Multimodal Learning Jobs

As a Founding AI Engineer, you will be responsible for building the AI Reasoning Layer for Education. You will play a crucial role in reimagining the core intelligence layer for education, addressing the challenging task of subjective assessment automation and ultra-personalized learning at scale. This opportunity goes beyond a typical LLM application as you will be involved in developing a first-principles AI reasoning engine that integrates multi-modal learning, dynamic knowledge graphs, and real-time content generation. The ultimate goal is to revolutionize the education sector by eliminating manual evaluation time wastage and creating an AI system that comprehends the human learning process. Your primary tasks will involve solving complex problems at the cutting edge of LLMs, computer vision, and generative reasoning. You will be working on challenges such as achieving near-human accuracy in Handwriting OCR, real-time learner knowledge modeling, creating generative AI for dynamic video lessons, and building scalable inference infrastructure to support millions of learners in real time. In this role, you will architect, deploy, and optimize multi-modal AI systems including OCR, knowledge-state inference, and adaptive content generation. You will design reasoning engines that merge LLMs, retrieval methods, and learner data to dynamically steer the learning process. Fine-tuning foundation models, implementing advanced techniques, and designing production-grade AI systems will be integral parts of your responsibilities. Additionally, you will lead experiments at the forefront of AI research and have the opportunity to publish your findings. The ideal candidate must possess deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning, proficiency in AI frameworks like PyTorch, TensorFlow, and Hugging Face, as well as knowledge of optimizing AI for production are essential requirements. Experience in knowledge graphs, AI-driven reasoning systems, and familiarity with Diffusion Models, Transformers, and GNNs are highly desirable skills. This role offers a unique opportunity to define the AI stack for a groundbreaking product right from its inception. You will have significant ownership across research, engineering, and infrastructure domains, along with founding-level equity in a high-growth company addressing a multi-billion dollar problem in the education sector. If you are passionate about pushing the boundaries of LLMs, CV, and multimodal models, and shaping the foundational AI layer for education, this role is tailored for you.,

You will be joining a European-based MNC that is transitioning its operations to Bangalore in a Hybrid work mode. As part of the team, you will need to demonstrate expertise in Core Machine Learning & Deep Learning. This includes a solid grasp of Transformer architectures such as ViT, CLIP, and BERT, as well as experience with contrastive learning techniques like SimCLR, MoCo, and CLIP. Additionally, knowledge of temporal embeddings and sequence modeling for video, fine-tuning large pre-trained models, and a comprehensive understanding of Deep Learning concepts will be essential for this role. Your technical and engineering skills should include proficiency in Python and deep learning frameworks like PyTorch (preferred) or TensorFlow. Familiarity with StreetClip or similar multimodal models, experience with video data pipelines, and the ability to optimize model training and inference for performance and scalability will be key responsibilities. In terms of data and evaluation, you should have experience working with large-scale video datasets such as Kinetics, HowTo100M, etc. Knowledge of evaluation metrics for video understanding and retrieval tasks, familiarity with embedding spaces, similarity metrics, and retrieval systems will also be required. It would be beneficial to have experience with multimodal learning (vision + text), familiarity with distributed training and model deployment, as well as contributions to open-source projects or publications in relevant areas. Ideally, you should hold a degree in Computer Science, Machine Learning, or a related field (Masters or PhD preferred) and have at least 3 years of experience in deep learning or computer vision projects. If you meet these qualifications and skills, please share your profiles at hiring@khey-digit.com.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech goes beyond computer code. As a member of the Dolby team, you'll witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks the best talent. With ample resources and a conducive environment, Dolby offers challenging projects, a collegial culture, excellent compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work in terms of location, time, and method. Dolby's research division is seeking an AI researcher to contribute to the development of the next generation of AI-based multimodal technologies. As part of Dolby's research efforts, the candidate will collaborate with Dolby's renowned audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies aimed at driving interactive and immersive experiences. Working within an international team, the senior Generative AI Researcher will explore novel horizons in multimodal analysis, processing, and generation. The responsibilities include conducting fundamental research, technology transfer to product groups, drafting patent applications, and publishing papers. The ideal candidate for this role should possess a strong background in deep learning, encompassing both conceptual understanding and practical experience. Staying updated with the latest literature and implementing cutting-edge techniques in generative models, self-supervised learning, and multi-modal learning are key aspects of the position. Experience or knowledge in the following areas would be beneficial: - Generative modeling for audio and video applications. - Multimodal semantic understanding and reasoning. - Multimodal representations including audio and/or video. - Multimodal AI architectures focusing on generating audio and/or video. - AI-driven enhancement, processing, and generation for audio and/or video applications. - Exposure to various audio and video applications. Collaborating closely with Dolby's Machine Perception and Reasoning team, the candidate will join a group of top-tier researchers working on challenging problems in multimodal AI for entertainment applications. The role involves creating and implementing multimodal AI technologies to develop new experiences and prototypes. The candidate will be responsible for prototyping immersive experiences that enhance immersion and interaction, thereby refining the user experience. Key Responsibilities: - Collaborate with domain experts to execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to innovate new solutions and improve existing applications. - Drive the state-of-the-art and develop intellectual property. - Mentor interns on research problems. - Publish papers in top-tier conferences and journals. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent advancements in deep learning to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. - Experience in AI applied to audio and/or video. - Technical expertise in generative modeling for audio or video. - Strong publication record in top-tier conferences. - Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch. - Ability to innovate new technologies and translate them into products. - Strong communication skills.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,