1 to 25 of 235 Deep Learning Jobs

June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking globally. As of August 2023, Pony.ai has accumulated nearly 15 million miles of autonomous driving globally. Responsibility Work with experts … vast of real world data Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real ...

Description Job Description About the Role We're building the next generation of airport security screening solutions -leveraging breakthroughs in machine learning, deep learning, 3D imaging, and open network architectures . We're looking for a Principal Engineer & Technical Leader to define the vision and lead … this role is for you. What You'll Do Lead & Inspire : Guide a team of engineers in developing advanced threat detection algorithms using machine learning, deep learning, and classical approaches Drive Innovation : Create novel, high-impact solutions for complex detection and classification challenges Own the Vision : Define ...

DescriptionWHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Staff Machine Learning Engineer … deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.RESPONSIBILITIES: Design, train, and optimize large-scale multimodal foundation models that integrate wearable ...

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility … world environmental challenges, helping organisations make high-impact decisions around risk, resilience and commercial performance This is the chance to join as a Machine Learning Engineer working with a climate-tech scale-up applying cutting-edge Machine Learning to satellite data, weather models and environmental signals, reshaping ...

Description Job DescriptionThe Elevator Pitch Join the Evolv Machine Learning & Sensors team as a Data Scientist focused on driving deep understanding of sensor data, feature spaces, and data quality that power our AI/ML systems. This hands-on role emphasizes representation analysis, exploratory data insights, and data … centric improvements that directly enhance model accuracy, robustness, and generalization. You will work across classical ML and deep learning pipelines to identify blind spots, diagnose data issues, and guide data curation and collection strategies. Success in the Role: What performance outcomes will you work toward in the first ...

other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust … collaborative communities and to provide effective, flexible, and high-quality technical solutions.In This Position You Will: Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision Perform rapid prototyping and enhanced development to be integrated into operational systems Contribute your strong programming ability and experience ...

fine-tuning. Build pre-trained base models based on massive industrial data, and explore the integrated application of large-scale models with traditional deep learning and reinforcement learning. Explore cutting-edge technologies such as RLHF and model distillation, track the latest developments in the field of large-scale … development tasks. Experience in large model-related development, including but not limited to: data cleaning, open-source model fine-tuning, training framework development, reinforcement learning, evaluation, and inference deployment. Familiar with machine learning principles and algorithms. possesses a deep understanding and practical experience with deep learning ...

data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with … users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI. As an AI/ML Engineer at Ikigai Labs, you will ...

Engineer for our leading oil and gas client. The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track record of delivering … development of impactful AI solutions. The engineer will work collaboratively across multidisciplinary teams, providing thought leadership in cutting-edge AI technologies, including deep learning, graph neural networks, generative AI, and retrieval augmented system. Required Skills and Experience: 5+ years of professional experience delivering advanced AI/ML solutions ...

measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies. Job Summary - To research and develop scalable computer vision and machine learning solutions to a hard problem - To investigate and solve exciting … difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning - To design, implement, and deploy full-stack computer vision and machine learning solutions Job Description Detailed Job Descriptions - Deep Learning Network Training and Deployment ...

research projects at the forefront of the ADAS/AD industry. Key responsibilities include: Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/… technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning. Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust). Strong interpersonal, communication, and teamwork capabilities. Knowledge of major machine learning frameworks like TensorFlow or PyTorch. Hands-on experience ...

overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Build robust and real … Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability to do independent research ...

programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection, education, and inclusion. We are looking for a Senior Machine Learning Engineer to lead the design and implementation of cutting-edge AI/ML systems that deliver transformative business outcomes. In this role, you will … your work will have a broad and lasting impact on customer experience and operational efficiency. The ideal candidate brings extensive experience in applied machine learning, deep software engineering expertise, and a track record of mentoring teams and delivering production-ready models at scale. This is a high-impact ...

with founders in C/C++ and Python for solving challenging real-world problems Coming up with large scale data collection techniques for training Deep Neural Nets Driving the development of new algorithms that dramatically improve our existing methods Researching and maintaining state-of-the-art ML/… Minimum Qualifications 8+ years relevant coding experience Masters degree in Computer Science or related field Strong background in Computer Vision Exposure to new Deep Learning techniques for image recognition Preferred Qualifications MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related ...

site/Hybrid, Arlington, VA (Remote option available for the right candidate) DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced Technical Lead to architect and drive the development of our next-generation … from mathematical intuition to simulation (e.g. NVIDIA Sionna) and real-time implementation. What You'll be Doing Applied AI Research : Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management Simulation & Validation : Build ...

model design and data strategy Optimize data storage and retrieval for performance and scalability Model Development & Deployment Develop, train, evaluate, and fine-tune machine learning and deep learning models Implement robust validation, testing, and monitoring to ensure model accuracy, fairness, and reliability Deploy models into production environments … large datasets AI/ML Frameworks & Tools Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Strong understanding of machine learning algorithms, deep learning, and data modeling techniques Enterprise Software & Architecture Experience designing or contributing to scalable software architectures, including: Microservices-based architecture Distributed ...

systems, or agent perception. In this position, you will be required to have an in-depth understanding of CV tools such as OpenCV and deep-learning CV algorithms, and you should feel comfortable driving automated data collection and processing, including curation and labeling. The tools you develop will … Implement algorithms for automated, task-specific data collection and labeling. Implement algorithms for object detection, segmentation, deblurring, etc., using OpenCV and/or Deep Learning techniques. Write robust production code for deploying the above algorithms on hardware platforms. Test, benchmark, and optimize algorithms to improve their performance, accuracy ...

ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company-we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform … pillars in the company. What You'll Do Build Production AdTech Systems: Design and implement reliable software and infrastructure that serves large-scale machine learning models in real-world production environments. Optimize for Performance at Scale: Improve throughput and latency using a mix of industry-standard frameworks and custom ...

neural network architectures. Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators. Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption. Enhance AI software tools to support … industry and academia to continuously enhance our products. Work closely with other software and hardware engineers to develop the next generation of deep learning software. Collaborate with architects and hardware engineers to co-design future accelerators. Preferred Skills & Experience: 10+ years of experience developing software for a variety ...

neural network architectures. Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators. Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption. Enhance AI software tools to support … industry and academia to continuously enhance our products. Work closely with other software and hardware engineers to develop the next generation of deep learning software. Collaborate with architects and hardware engineers to co-design future accelerators. Preferred Skills & Experience: 10+ years of experience developing software for a variety ...

neural network architectures. Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators. Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption. Enhance AI software tools to support … industry and academia to continuously enhance our products. Work closely with other software and hardware engineers to develop the next generation of deep learning software. Collaborate with architects and hardware engineers to co-design future accelerators. Preferred Skills & Experience: 10+ years of experience developing software for a variety ...

neural network architectures. Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators. Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption. Enhance AI software tools to support … industry and academia to continuously enhance our products. Work closely with other software and hardware engineers to develop the next generation of deep learning software. Collaborate with architects and hardware engineers to co-design future accelerators. Preferred Skills & Experience: 10+ years of experience developing software for a variety ...

play a key role in shaping our AI strategy and demonstrating the potential of AI through early-stage solutions. This position involves using deep learning, neuro-linguistic programming (NLP), computer vision, chat bots, and robotics to assist internal teams in driving diverse business outcomes and fostering innovation. Responsibilities … experience in formulating and strategizing AI solutions. - Proven experience in applying AI to practical and comprehensive technology solutions. - Hands-on knowledge in machine learning, deep learning, Tensorflow, Python, and NLP. - Expertise in REST API development, NoSQL design, and RDBMS design. - Understanding of functional design principles, object-oriented ...

scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like … with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs ...

computational imaging team uses traditional and non-traditional image sensors in novel ways to address challenges faced by our customers. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the opportunities of non-traditional visual sensors … improve the performance of real-world applications of computer vision. We seek to advance the fields of computational imaging, computer vision, and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. About the Projects ...