5 Selfsupervised Learning Jobs

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you will see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the resources you need and small enough so you can make a real difference and earn recognition for your work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support where, when, and how you do your best work. Dolby's research division is seeking a researcher to join the effort to develop the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's world-class audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies to drive new interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The researcher will be responsible for conducting fundamental new research, transferring technology to product groups, and drafting patent applications. Dolby's research division is currently looking for a talented, self-motivated researcher to push the boundaries of state-of-the-art multimedia technologies. The ideal candidate will have a strong background in Human-Computer Interaction (HCI) and deep learning, both conceptually and practically. Keeping up to date with the literature, implementing, and innovating are core aspects of this role. Knowledge or experience in human-computer interaction techniques, deep learning applications, generative models, self-supervised learning, audio, image, or text applications, latent space exploration, navigation, and control techniques would be beneficial. The role will involve prototyping inspiring experiences that explore a complement of modalities, extending immersion and interaction. The ideal candidate will have experience in developing real-time applications delivering multi-modal experiences and/or human-computer interfaces with generative AI involvement. Main Responsibilities: - Prototype and demonstrate multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to create new solutions and enhance existing applications. - Push the state-of-the-art and develop intellectual property. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent deep learning advancements to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record in top domain-specific or general machine learning conferences. - Good knowledge of current machine learning literature. - Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). - Ability to envision new technologies and turn them into innovative products. - Creativity and good communication skills.,

You are a highly experienced Lead Machine Learning Engineer specializing in Speech AI, Natural Language Processing (NLP), and Generative AI (GenAI). Your role is crucial in designing and expanding a production-grade speech-based virtual assistant powered by Large Language Models (LLMs), advanced audio signal processing, and multimodal intelligence. Collaborating closely with product, research, and DevOps teams, you will lead a group of ML engineers to create and implement cutting-edge AI solutions. In this role, your responsibilities include architecting and implementing advanced machine learning models for speech recognition (ASR), text-to-speech (TTS), NLP, and multimodal tasks. You will lead the development and fine-tuning of Transformer-based LLMs, including encoder-decoder architectures for audio and text tasks. Additionally, you will build custom audio-LLM interaction frameworks incorporating modality fusion, speech understanding, and language generation techniques. Your duties also involve designing and deploying LLM-powered virtual assistants with real-time speech interfaces for dialog, voice commands, and assistive technologies. You will integrate speech models with backend NLP pipelines to handle complex user intents, contextual understanding, and response generation effectively. Furthermore, you will design and implement end-to-end ML pipelines covering data ingestion, preprocessing, feature extraction, model training, evaluation, and deployment. Developing reproducible and scalable training pipelines using MLOps tools such as MLflow, Kubeflow, and Airflow with robust monitoring and model versioning will be part of your responsibilities. You will also drive CI/CD for ML workflows, model containerization (Docker), and orchestration using Kubernetes/serverless infrastructure. To stay updated with the latest advancements in Speech AI, LLMs, and GenAI, you will evaluate and drive the adoption of novel techniques. Experimenting with self-supervised learning, prompt tuning, parameter-efficient fine-tuning (PEFT), and zero-shot/multilingual speech models will be essential for innovation and progress. The required technical skills for this role include: - 10+ years of hands-on experience in machine learning, with a deep focus on audio (speech) and NLP applications. - Expertise in Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems, including tools like Wav2Vec, Whisper, Tacotron, FastSpeech, etc. - Strong knowledge of Transformer architectures like BERT, GPT, T5, and encoder-decoder LLM variants, including training/fine-tuning at scale. - Proficiency in Python programming and deep learning frameworks like PyTorch and TensorFlow. - In-depth understanding of audio signal processing concepts such as MFCCs, spectrograms, wavelets, sampling, filtering, etc. - Experience with multimodal machine learning, including the fusion of speech, text, and contextual signals. - Deployment of ML services with Docker, Kubernetes, and experience with distributed training setups on GPU clusters or cloud platforms (AWS, GCP, Azure). - Proven experience in building production-grade MLOps frameworks and maintaining model lifecycle management. - Experience with real-time inference, latency optimization, and efficient decoding techniques for audio/NLP systems. Preferred qualifications for this role include: - Master's or Ph.D. in Computer Science, Machine Learning, Signal Processing, or related technical discipline. - Publications or open-source contributions in speech, NLP, or GenAI. - Familiarity with LLM alignment techniques, RLHF, prompt engineering, and fine-tuning using LoRA, QLoRA, or adapters. - Previous experience in deploying voice-based conversational AI products at scale.,

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.,

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,