deep experience with the AWS ecosystem and services relevant to ML, such as SageMaker, EC2, S3, IAM, and VPC. You are familiar with deep-learning frameworks like PyTorch or JAX, and libraries from the AI ecosystem like Hugging Face Transformers. You have worked with the lifecycle of AI models, including deployment, hosting, and optimization for low-latency inference. You More ❯
environments. Proficiency in production-grade programming languages such as Rust and C++. Decent understanding of distributed systems, cluster orchestration and management. Good knowledge of data science tools (e.g PyTorch, Jax, Numpy) and programming languages such as Python. Experience with monitoring tools (Prometheus, Grafana). Experience working in Agile development teams with excellent collaboration skills. Grit in the face of More ❯
languages such as Python, C++ or Rust; hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc.; deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up; knowledge of emerging AI hardware accelerators and architectures; experience with containerization and More ❯
record of building and deploying LLM-powered applications in production , Deep experience applying large language models to complex, real-world problems , Strong proficiency in Python and ML frameworks (PyTorch, JAX, TensorFlow, Hugging Face Transformers) , Hands-on experience with advanced LLM techniques: RAG systems, chain-of-thought prompting, agentic tool use, and multi-agent coordination , Experience with distributed systems, cloud More ❯
learning and generative AI techniques, including implementing custom architectures, pretraining/fine-tuning generative models, building agentic workflows, and deploying solutions with real-world constraints. Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Preferred Qualifications Experience in building AI agents (based on RL, LLMs, etc.) Experience in building multi-agent simulation Background in Large Language Models/NLP and More ❯
with existing data and machine learning systems Qualifications Strong understanding of machine learning principles, especially in the context of LLMs. Solid proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch Experience with large-scale data infrastructure Strong verbal and written communication skills with the ability to work effectively across internal and external organisations and virtual More ❯
drive: Deep learning expertise with 2+ years in language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Strong Python skills and experience with ML frameworks (PyTorch, HF, TensorFlow, JAX). Demonstrable track record of end-to-end applied research. Excellent communication skills; proven mentoring ability. Collaborative and proactive in fast-paced environments. Desirable: Experience with symbolic reasoning engines. More ❯
tooling for deployment, monitoring, and continuous improvement of AI models What We're Looking For: Strong programming skills (Python, C++, or similar) Experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX) Familiarity with cloud infrastructure and distributed systems Solid understanding of performance optimization and system design More ❯
tooling for deployment, monitoring, and continuous improvement of AI models What We're Looking For: Strong programming skills (Python, C++, or similar) Experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX) Familiarity with cloud infrastructure and distributed systems Solid understanding of performance optimization and system design More ❯
to refine training workflows Contribute to the development of robust baselines and scalable pipelines What We're Looking For: Strong Python skills and experience with ML frameworks (e.g., PyTorch, JAX) Familiarity with model fine-tuning and training evaluation at scale Ability to translate research into practical implementations Background in generative models and/or 3D data is a plus More ❯
Job Summary As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of More ❯
at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. … of high-quality research, evidenced by publications in reputable scientific journals or conferences. Expertise in software development and programming in Python. Experience with deep learning frameworks such as PyTorch, JAX, and/or TensorFlow. Excellent ability to communicate complex ideas clearly, both verbally and in writing, and to work effectively within a multidisciplinary team. Strong analytical and critical thinking More ❯
At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature More ❯
Overview At UnlikelyAI, we are building the future of AI: one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with classical symbolic technology to produce hallucination-resistant artificial More ❯
