301 to 325 of 505 Permanent Deep Learning Jobs

team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills and a results-oriented mindsetExcellent communication skills and ability to work in a collaborative environmentCare about the societal impacts of your ...

hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You'll DoArchitect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)Design agentic workflows enabling … cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation ...

Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care ...

looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.This innovative … role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their ...

Overview We are seeking a Clinical Scientist with a background as a physician‐scientist in oncology to join our multidisciplinary Artificial Intelligence and Machine Learning (AIML) team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering AIML advancements … strong track record of scientific publication and research in a relevant field. Preferred qualifications and skills Computational Fluency: Solid understanding of data science, machine learning, and large language models. A fast learner with curiosity for new technologies and their clinical applications. Systems Thinking: Ability to approach clinical problems ...

seeking a Clinical Scientist with a background as a physician-scientist in oncology to join our multidisciplinary Artificial Intelligence and Machine Learning (AIML) team. This position offers a rare opportunity to shape the future of medical research by directly integrating clinical expertise with pioneering AIML advancements, setting our team … field. Preferred qualifications and skills If you have the following characteristics, it would be a plus: Computational Fluency: Solid understanding of data science, machine learning, and large language models. A fast learner with curiosity for new technologies and their clinical applications. Systems Thinking: Ability to approach clinical problems ...

implement models for detection, classification, prediction, and feature extraction. Work with large-scale, often unlabelled datasets and apply self-supervised and semi-supervised learning techniques to build robust models. Adapt and fine-tune foundation models, with techniques such as active learning for domain specific challenges in maritime AI. … stakeholders. What we look for! You have a degree in Computer Science, Mathematics, or a related field. A PhD or research background in Machine Learning or underwater sensor processing algorithms is a strong plus. You have evidence of hands-on experience in AI and Machine Learning. ...

supporting all of Liberty Global' s AI-related efforts from a security standpoint and ensuring the technical security and integrity of AI and machine learning systems within the organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls … relevant stakeholdersESSENTIAL SKILLS & ABILITIES:Proven experience in Security Architecture or similar team(s), with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, best practices and standards, algorithms, models, frameworks, regulations and controls. Extensive experience in technical security controls, security principles, AI/ ...

engineering and product delivery. You will be responsible for designing, implementing and maintaining our multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive … processing large-scale, high-dimensional datasets, ensuring efficient data loading and manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical ...

even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands‐on experience with … machine learning algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ...

SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research and develop post-training methods for Enchant - our multimodal transformer model trained … role centers on designing and evaluating post-training approaches for large multimodal language models including supervised fine-tuning, parameter-efficient fine-tuning, reinforcement learning, preference or reward-based optimization, and other emerging post-training methods. You will develop rigorous evaluations and training infrastructure that make it possible to rapidly ...

open-ended ML research, model design, tooling, and infrastructure from concept to production. For PhD and postdoctoral researchers working on open-ended machine-learning problems from research through production. What Jump looks for Strong publications at venues such as ICML, ICLR, AAAI, NeurIPS, UAI, or KDD, and/… meaningful open-source AI research contributions. Strong machine-learning background, including modern deep learning and/or language-model architectures such as transformers and state-space models. Strong Python and/or C++. PyTorch, TensorFlow, and/or JAX. Strong quantitative reasoning, collaboration, and communication with trading ...

reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: PhD in Computer Science, Machine Learning, or a related field, with 2+ years of relevant industry or post-PhD research experience or Master in related field, with 5+ years … experience in these topics. Knowledge of human-inspired image/video quality metrics. Strong programming skills in Python. An in-depth understanding of the deep learning approaches and working experience with machine learning framework/packages (e.g, PyTorch). Desired: Background knowledge of video compression techniques ...

strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com … Analytics**Certifications -**Certified Business Analysis Professional (CBAP) - Upgrad, Microsoft Certified: Power BI Data Analyst Associate - Microsoft, PRINCE2 Practitioner - PeopleCraft, Project Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka**Required Skills -**Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks ...

backed by leading players across the automotive and tire industries, ATI is building technology that will redefine how cars are serviced. Our team combines deep robotics expertise with real world deployment, moving fast from prototype to production and scaling solutions directly in the field. This role offers an exciting … highly skilled and experienced Lead Perception Engineer with expertise leading a team of engineers solving difficult robotic perception challenges using both classical and machine learning (ML) approaches. The ideal candidate will have hands‐on experience with developing solutions end to end, including evaluation of the problem, sensor selection, leading ...

insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role … features and factors from telematics data. Develop and maintain end-to-end pipelines in Python and SQL, ranging from simple heuristics to complex machine learning models. Build robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers,Data Scientists, and Product Managers to implement features ...

reliability of 99.9999% and beyond. The Work itself: Build Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. … technology, and new operations flows in diverse agile squads Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments. Essential Functions: Demonstrates in-depth technical proficiency to accurately interpret and address project requirements. Identifies and contributes to the development and solution ...

Summary The Senior Research Scientist sits on DeepHealth's ML Capabilities team and advances research in machine learning for medical imaging, with a focus on foundation models in radiology AI. This role designs novel model architectures, develops experimental systems to test research hypotheses, and helps translate research into solutions … Responsibilities Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme. Track and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging. Design and prototype novel model architectures for multimodal medical imaging data. Develop experimental systems ...

design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight … Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it. Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation. Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures. ...

stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/ ...

Bayesian models, state space models, filtering and smoothing, computational statistics and approximate inference methods Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic optimisation and optimal control Experience working with large datasets Knowledge of and interest ...

secure systems that power trustworthy AI for customers tackling some of society's hardest problems. This is a hands‐on technical role that combines deep backend expertise with a collaborative, product‐minded approach. What you'll do Lead the design, development, and maintenance of high‐quality software, owning solutions … consistent RESTful APIs Provide technical support and lead incident investigations Champion Scrum and drive continuous improvement in how the team works Foster a collaborative, learning‐oriented environment where engineers grow In addition to backend work, you may also be required to support tasks on the frontend — we value engineers ...

leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics and multi-modal biological datasets. The successful candidate will be embedded across both institutes, benefiting from joint supervision, collaborative … meetings and access to world-leading expertise, datasets, computational infrastructure and scientific networks. Applicants from machine learning, computer science, statistics, mathematics or related quantitative disciplines are encouraged to apply – prior genomics experience is not essential, and structured training and support will be provided. What you’ll be doing ...

redefining how lung cancer and lung diseases are diagnosed and treated, using cutting-edge AI. This is an excellent opportunity for a Machine Learning Engineer eager to contribute technical expertise and take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role … standups Support and enhance cloud and CI/CD infrastructure. Troubleshoot and resolve production challenges Ideal candidate 3yrs+ experience in computer vision, machine learning, bioinformatics, or medical informatics Proven ability to build maintainable, secure, and high-performance solutions Strong proficiency in Python and modern ML frameworks Skilled in deploying ...

DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions … number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem. In this role, you willCreate and deliver production-ready, scalable and high-quality machine learning ...