151 to 175 of 213 Deep Learning Jobs

professionals for un upcoming program who are searching for increased job satisfaction and career advancement opportunities with a small but dynamic company. We are recruiting Artificial Intelligence/Machine Learning (AIML) engineers for full-time and part-time roles on our team. This is a hybrid position. Candidates must be able to spend time on-site at our Augusta … affordable and quality health, dental, and vision insurance options. The successful candidate will possess some combination of the following: • a strong foundation in programming (especially Python), mathematics, and machine learning concepts; • past experience with AI frameworks, such as TensorFlow or PyTorch; • knowledge and experience with various machine learning types (supervised, unsupervised, reinforcement) and deep learning architectures More ❯

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our solutions … be substituted for a bachelor's degree. 10+ years of experience in geospatial analysis with specific expertise in satellite imagery interpretation. Familiarity with AI-assisted annotation tools and machine learning applications. Experience working with geospatial data and remote sensing technologies. Knowledge of industry-specific compliance and security protocols. Prior experience delivering government contracts, especially for NGA or IC/… with Convolutional Neural Networks (CNN)s, object detection, segmentation, and classification models. Familiarity with REST APIs and integrating models into web-based applications. Knowledge of satellite imagery analysis and deep learning models. Possess a Top-Secret/SCI clearance. Key Responsibilities: Oversee daily operations of seven pods (a.k.a. annotation teams), ensuring optimal performance and output. Manage and mentor More ❯

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our solutions … be substituted for a bachelor's degree. 10+ years of experience in geospatial analysis with specific expertise in satellite imagery interpretation. Familiarity with AI-assisted annotation tools and machine learning applications. Experience working with geospatial data and remote sensing technologies. Knowledge of industry-specific compliance and security protocols. Prior experience delivering government contracts, especially for NGA or IC/… with Convolutional Neural Networks (CNN)s, object detection, segmentation, and classification models. Familiarity with REST APIs and integrating models into web-based applications. Knowledge of satellite imagery analysis and deep learning models. Possess a Top-Secret/SCI clearance. Key Responsibilities: Oversee daily operations of seven pods (a.k.a. annotation teams), ensuring optimal performance and output. Manage and mentor More ❯

leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal for someone who combines deep technical expertise with a passion for helping others grow. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in the latest research, through proof … of-concept, to production deployment. Your work will sit at the cutting edge of machine learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. This role blends technical leadership with hands-on research. You'll set direction, influence others, and lead by example, all while mentoring colleagues and helping define best … on both technical and professional development. What We're Looking For We're seeking an experienced applied scientist who combines depth in ML with leadership as an individual contributor: Deep learning expertise with significant industry experience, including 2+ years applying it to language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Demonstrable success leading as an individual More ❯

interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will work with these colleagues in multi-disciplinary teams. Typical Responsibilities Lead technical delivery of … ML and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Domains of Particular Interest RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing … and Project Management teams that design and implement defence solutions and digital transformation projects. Company BAE Systems Experience and Education Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯

and communities together, join the Newcastle United Family, as we embark on the next steps of our exciting journey. About the role Are you passionate about football and machine learning? At Newcastle United, we’re looking for a curious and driven scientist to help us push the boundaries of football intelligence. You’ll be working with cutting-edge data … clear, actionable insights that align with our football philosophy. Your impact We’re after someone who knows when to use a well-tuned statistical model and when to unleash deep learning. You’ll be comfortable working with large-scale time series data, building bespoke metrics, and integrating diverse models to create rich, layered analysis. If you’ve worked with … providers like StatsBomb or Second Spectrum, even better. You’ll need a Master’s or PhD in a quantitative field, strong Python skills, and extensive experience applying core machine learning libraries such as Scikit-learn, XGBoost, or LightGBM to structured data problems. The role may also involve developing and deploying deep learning models using frameworks like PyTorch More ❯

data-driven architecture design. • Extensive experience in enterprise architecture frameworks (e.g., TOGAF, Zachman). • Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). • Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. • Hands-on experience with cloud platforms (Azure … AWS, or Google Cloud) for building scalable data solutions. • Proficiency in data modeling, data warehousing, and ETL processes. • Familiarity with AI ethics and the implications of machine learning and data use in organizational contexts. • Strong understanding of how AI and data solutions align with and drive business goals and objectives. Desirable Skills: • Experience with DevOps practices in AI and More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our … to explain technical concepts to both technical and non-technical audiences - Masters or PhD degree in computer science, or related technical, math, or scientific field - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovations. You will be … part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product … shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities - Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap More ❯

quantitative academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross More ❯

Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for … software development experience, design or architecture (design patterns, reliability and scaling) of new and existing systems, and programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine-tuning, and inference) and with generative AI technology PREFERRED QUALIFICATIONS Bachelor's degree in computer science … development life cycle experience including coding standards, code reviews, source control management, build processes, testing, and operations 1+ years of hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework Amazon is an equal opportunities employer. We believe that employing a diverse workforce is central to our success. We make recruiting More ❯

end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart … engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with … Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar More ❯

applications Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products and services Communicate technical challenges … and solutions to non-technical stakeholders and team members. What we want from you: Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision More ❯

in five distinct areas depending on mission requirements: Applied Mathematics - Statistical and mathematical support to provide temporal and pattern analysis, correlation of events, probability analysis, assessments of sampling, machine learning analysis of variance and error, and regression testing and analysis. Programming Skills - Write scripts in Visual Basic, Python, or other software for modeling processes, repeatability, efficiency, knowledge capture, hypothesis … a quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics, or other. Computational analytics modeling: Experience engineering and tuning deep learning algorithms for data science. Experience with two or more programing languages: o R, Python, Pig, Java, JavaScript, and/or SQL Experience running command line operations in More ❯

About Qualcomm: Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability. Role Overview: Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. … ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field. Qualifications: Bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline. Strong expertise in PyTorch and C++ programming. Experience with ML workload analysis, compiler development, and quantization techniques. Familiarity with deep learning frameworks such More ❯

The Product: AWS Machine Learning accelerators are at the forefront of cloud innovation and power some of the most advanced Generative AI applications on AWS. Our custom silicon - including the Inferentia chip for ML inference and the Trainium chip for ML training - delivers industry-leading performance and cost efficiency at scale. These are powered by the AWS Neuron Software … Development Kit (SDK), which includes a deep learning compiler, runtime, and native integration with popular ML frameworks like PyTorch, TensorFlow, and MXNet. Customers such as Snap, Autodesk, Amazon Alexa, and Amazon Rekognition are already benefiting from this technology at scale - and we're just getting started. The Opportunity - Tel Aviv: We're excited to expand the AWS Neuron … the performance and scalability of ML workloads across the cloud. Our focus: creating a robust, high-performance toolchain that accelerates innovation in Generative AI. You: As a Senior Machine Learning Compiler Engineer in Tel Aviv, you'll lead the development of cutting-edge compiler technologies, optimize large-scale ML workloads, and bring new hardware to life. You'll have More ❯

based architectures and recommend appropriate tools, technologies, and methodologies ️ Collaborate with business leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical More ❯

Role: Lead, Vision-Language-Action (VLA)/Behaviour Learning About the Client Our client is a pioneering robotics startup developing the worlds most advanced, reliable, and commercially scalable humanoid robots. Their mission is to create safe, next-generation robots that integrate seamlessly into daily life and amplify human capacity. Their first robot, HMND 01 , is designed for industrial automation … understand, and act in complex real-world environments. The role combines cutting-edge AI research with practical deployment in robotics. What Youll Do Define and drive strategy for representation learning, behaviour cloning, and reinforcement learning (RL) . Lead large-scale training of multi-modal LLM/VLM/VLA systems integrating inputs such as vision, audio, proprioception, LiDAR … and optimise models for real-time deployment . Hire, mentor, and lead a high-calibre team of research scientists and engineers. What Were Looking For 6+ years experience building deep learning systems, including 2+ years in technical team leadership. Hands-on expertise with LLM/VLM architecture design, billion-parameter training, and fine-tuning . Proven track record More ❯

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our solutions … transparency, bias mitigation, and content authenticity. Responsibilities: Training & Development, providing structured training programs for data annotators, covering labeling techniques, accuracy improvement, and tool proficiency, using the latest F8F machine learning-powered annotation tools and automation platforms. Design and modernize curricula for annotators to label and annotate EO/SAR imagery, to include video formats. Develop specialized training for machine … assisted video analysis. Partner with analysts, pod leads, and data specialists to help design upskilling pathways based on review insights and align quality training with mission goals. Implement continuous learning strategies, offering refresher courses on regulatory updates and technological advancements. Establish evaluation metrics to measure employee proficiency in AI-assisted annotation techniques. Ensure annotation approach is in compliance with More ❯

programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for … Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time More ❯

programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for … Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time More ❯

programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for … Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time More ❯

and actively engage in team events and wider communities of practice. Essential Skills & Experience Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference PyTorch for deep learning model development and training OpenCV for … Technologies Custom model architecture design and implementation Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods Multi-modal AI systems combining text, image, and structured data Reinforcement Learning from Human Feedback (RLHF) for model alignment Production ML Systems Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management Model versioning and experiment tracking (MLflow, Weights More ❯

to create 21st-century research labs that improve efficiency, reproducibility, and animal welfare. Their proprietary system enables accurate, cost-effective animal tracking through a blend of classical computer vision, deep learning, and novel ID tagging technology. Their product integrates seamlessly into existing infrastructure, allowing for large-scale deployment of smart cages. With their innovations, they aim to accelerate More ❯

to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training More ❯