301 to 325 of 360 Hugging Face Jobs

experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders (e.g., WaveGlow, WaveNet, HiFi-GAN) Voice conversion frameworks (e.g., RVC, DiffVC, YourTTS) TTS engines like Coqui TTS Self-supervised learning More ❯

experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders (e.g., WaveGlow, WaveNet, HiFi-GAN) Voice conversion frameworks (e.g., RVC, DiffVC, YourTTS) TTS engines like Coqui TTS Self-supervised learning More ❯

experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders (e.g., WaveGlow, WaveNet, HiFi-GAN) Voice conversion frameworks (e.g., RVC, DiffVC, YourTTS) TTS engines like Coqui TTS Self-supervised learning More ❯

experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders (e.g., WaveGlow, WaveNet, HiFi-GAN) Voice conversion frameworks (e.g., RVC, DiffVC, YourTTS) TTS engines like Coqui TTS Self-supervised learning More ❯

experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders (e.g., WaveGlow, WaveNet, HiFi-GAN) Voice conversion frameworks (e.g., RVC, DiffVC, YourTTS) TTS engines like Coqui TTS Self-supervised learning More ❯

experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders (e.g., WaveGlow, WaveNet, HiFi-GAN) Voice conversion frameworks (e.g., RVC, DiffVC, YourTTS) TTS engines like Coqui TTS Self-supervised learning More ❯

experience in machine learning, with a focus on speech/audio. Strong background in deep learning (PyTorch or TensorFlow). Hands-on experience with tools and frameworks such as: Hugging Face Transformers torchaudio , librosa , Kaldi , ESPnet Neural vocoders (e.g., WaveGlow, WaveNet, HiFi-GAN) Voice conversion frameworks (e.g., RVC, DiffVC, YourTTS) TTS engines like Coqui TTS Self-supervised learning More ❯

technical discipline. (Additional 4 years of experience may substitute degree) - 3 years of software development experience - Strong proficiency with Python - Hands-on experience with AI/ML frameworks (LangChain, Hugging Face, OpenAI APIs, etc.) - Demonstrated ability to build working AI applications - Understanding of agent architectures and multi-agent systems - Experience with API development and integration (REST, GraphQL, WebSockets More ❯

space. AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have More ❯

space. AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have More ❯

space. AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have More ❯

such as Github and Jenkins. • Demonstrated experience leveraging GPUs for accelerated computing. (KEY EXPERIENCE FOR CUSTOMER) HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. • Demonstrated experience with cloud computing development and architecture. • Demonstrated experience with front-end web development frameworks such as Flask. • Demonstrated experience creating machine learning models that More ❯

Software Engineer Recent experience in software development in modern Python Familiarity with data tooling (for example Pandas, Arrow, S3, etc) Familiarity with ML lifecycles and tooling (for example Pytorch, Huggingface, vllm, Airflow, Prefect, Luigi, etc) Ability to work with scientific software, either through experience or advanced degrees in related disciplines ABOUT IAMBIC THERAPEUTICS Founded in 2019 and headquartered in San More ❯

diffusers) from scratch and applying them to real biological datasets. Experience working with large-scale transcriptomic datasets, ideally from non-human organisms (though not required). Experience with PyTorch, huggingface transformers, and diffusers. Experience working with ML accelerators. Nice-to-have Relevant publications in reputable journals or contributions to open-source projects. Exposure to and interest in probabilistic ML, causal More ❯

The Oxford Planetary Health Informatics Lab is seeking a highly motivated Postdoctoral Data Scientist to support new Wellcome Trust funded projects on curation and modelling of harmonised climate and health datasets and co-creating publicly available decision-support dashboards and More ❯

IL preferred 12 months Video VISA RESTRICTIONS ny REQUIRED SKILLS • +3 Years Python, Client, AWS Cloud Computing Experience • Familiarity with agent-based LLM frameworks (e.g.,LangChain) • TensorFlow, PyTorch, and Hugging Face Transformers More ❯

models, and deploying them as microservices. The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain. Your core responsibilities include: Serve as the day-to-day liaison between Data Science and DevOps, ensuring effective … packaging and deploying ML models, helping them understand AI-specific requirements and performance nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS. Develop and expose … maintaining AI/ML models in production Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (e.g., NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent Proficiency with SQL More ❯

scale data initiatives, including pipeline architecture and quality assurance. - Expertise in fine-tuning and knowledge distillation of transformer-based models (e.g., LLaMA, Mistral, Gemma). - Advanced proficiency with PyTorch, Hugging Face, and cloud-based deployments. - Proven leadership and independent project management skills. More ❯

AI capabilities across Paydock’s platform and internal processes using tools such as OpenAI, Anthropic, and other third-party AI APIs. Key Responsibilities Integrate AI APIs (e.g., OpenAI, Claude, Hugging Face APIs) into internal tools and customer-facing applications. Design and implement workflows powered by AI, such as content summarization, support automation, documentation generation, or intelligent query handling. More ❯

AI capabilities across Paydock's platform and internal processes using tools such as OpenAI, Anthropic, and other third-party AI APIs. Key Responsibilities Integrate AI APIs (e.g., OpenAI, Claude, Hugging Face APIs) into internal tools and customer-facing applications. Design and implement workflows powered by AI, such as content summarization, support automation, documentation generation, or intelligent query handling. More ❯

AI capabilities across Paydock s platform and internal processes using tools such as OpenAI, Anthropic, and other third-party AI APIs. Key Responsibilities Integrate AI APIs (e.g., OpenAI, Claude, Hugging Face APIs) into internal tools and customer-facing applications. Design and implement workflows powered by AI, such as content summarization, support automation, documentation generation, or intelligent query handling. More ❯

environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph databases (e.g., Neo4j). Background in developing data-heavy or AI-enhanced applications. Why You ll Love This Role: Collaborative Culture: The company More ❯

oriented software projects (e.g. expertise in helping scientists who are not machine learning experts debug and resolve errors encountered when using popular machine learning packages such as Scikit-learn, Hugging Face Transformers, and PyTorch) Knowledge and experience of Large Language Models and their applications. The ability to communicate technical concepts effectively and enthusiastically across disciplines and to audiences More ❯

aggregation, efficient (pre-)processing, etc. Experience with time-series data, including storage and management. A strong understanding through the usage of machine learning frameworks (TenserFlow, PyTorch, sci-kit-learn, Huggingface). Ability to work with analytical teams to build dashboards that prove the value of the machine learning capabilities as we deliver models to our production environments. Desirable: Experience working More ❯

domains via fine tuning or RLHF. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). Published research in areas of machine learning at major conferences and/or journals. If some of the above doesn't line up perfectly with your experience More ❯