- Matroid (Palo Alto, CA)
- …in manufacturing, aerospace, transportation, security and safety and compliance. We're looking for a Deep Learning Field Engineer to operate at the ... forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use… more
- Matroid (Palo Alto, CA)
- …in manufacturing, industrial IoT, government and security. We are looking for a world-class Deep Learning Software Engineer who is excited to operate at ... the forefront of computer vision and deep learning applied to challenging, real-world use-cases....should apply them to our real world use-cases + Engineer new DL capabilities end-to-end; research, experiment, iterate, develop,… more
- pony.ai (Fremont, CA)
- …problems into well-defined ML problems; develop and apply cutting-edge ML approaches ( deep learning , reinforcement learning , imitation learning , ... in real-time on the cars. + Develop and deploy deep learning models, including vision language models...Learning , Robotics, Natural Language Processing, or similar technical field of study. + Publications on top-tier conferences like… more
- quadric.io, Inc (Burlingame, CA)
- …a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU ... that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph...+ Drive the lowering and optimization of cutting edge deep neural networks using Quadric's technology + Apply your… more
- General Motors (Mountain View, CA)
- …innovation at global scale. **The Role** **:** As an Early Career Machine Learning Engineer , you will contribute to the development of end-to-end AI/ML ... manipulation, predictive maintenance, and process optimization + Build end-to-end deep learning pipelines that handle multi-modal sensor...in the process of obtaining a PhD in the field of Computer Science,Machine Learning , or a… more
- General Motors (Mountain View, CA)
- …maintenance into real-world automotive innovation at global scale. As a Senior Machine Learning Engineer , you will lead the development of end-to-end AI/ML ... robotic manipulation, predictive maintenance, and process optimization + Develop end-to-end deep learning pipelines that handle multi-modal sensor data (vision,… more
- General Motors (Mountain View, CA)
- …automotive innovation at global scale. **The Role** **:** As a Senior Machine Learning Engineer , you will lead the development of end-to-end AI/ML systems ... robotic manipulation, predictive maintenance, and process optimization + Develop end-to-end deep learning pipelines that handle multi-modal sensor data (vision,… more
- Google (San Bruno, CA)
- …in designing, training, or refining complex ML/AI models. + Experience in deep learning frameworks like TensorFlow/Jax/Pytorch. + Experience in building a ... Software Engineer , PhD, Early Career, AI/Machine Learning ,...PhD degree in Computer Science, ML/AI, or a related field , or equivalent practical experience. + Experience coding in… more
- Snap Inc. (San Francisco, CA)
- …always execute with privacy at the forefront. We're looking for a Principal Machine Learning Engineer to join the Content Relevance team Snap! What you'll do: ... Knowledge, Skills & Abilities: + Strong understanding of machine learning and deep learning approaches...learning frameworks + Advanced degree in a related field such as machine learning , computer vision,… more
- DoorDash (San Francisco, CA)
- …logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization ... Learning expert to join our team. As a Senior Machine Learning Engineer , you'll be conceptualizing, designing, implementing, and validating algorithmic… more
- Meta (Menlo Park, CA)
- …problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning , data regression, and rules based models. 3. Suggest, ... efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. 5. Adapt standard machine learning … more
- Stanford University (Stanford, CA)
- …and intelligence. We expect the candidate to have expertise in modern deep learning libraries (preferably PyTorch) and recent developments in multimodal ... Machine Learning Research Engineer (1 Year Fixed...collaborative community renowned for expertise in computational neuroscience and deep learning . **Role & Responsibilities:** * Implement… more
- Medtronic (San Jose, CA)
- …and ensure successful completion of projects. The **Senior Medical Science Technical Field Engineer ** will serve as a resource in Aortic. Provide expertise ... knowledge of all clinical and scientific data for our products and maintain a deep understanding of the science behind our products. Nurture deep , collegial… more
- Meta (Menlo Park, CA)
- …click "Apply to Job" online on this web page. **Required Skills:** Machine Learning Engineer Responsibilities: 1. Adapt standard machine learning methods ... as NumPy, and Pandas 12. Developing and training models using PyTorch or equivalent modern deep learning frameworks 13. Applying deep learning models in… more
- Google (Mountain View, CA)
- …building on world-class Google AI technology. **About the role** As a Machine Learning Engineer , you will be responsible for designing, developing, and deploying ... degree in Computer Science, Engineering, or a related technical field . + At least 5 years of experience designing,...deploying ML solutions + Proven experience building and training deep learning models using PyTorch and the… more
- Amazon (Mountain View, CA)
- …infrastructure design) - 3+ years developing predictive modeling, natural language processing, and deep learning , with a proven track record of building and ... Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest… more
- Meta (Menlo Park, CA)
- …problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning , data regression, and rules based models. 5. Suggest, ... efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. 7. Receiving general instruction from supervisor,… more
- Meta (Menlo Park, CA)
- …problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning , data regression, and rules based models. 5. Suggest, ... efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. 7. Receiving general instruction from supervisor,… more
- Meta (Menlo Park, CA)
- …problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning , data regression, and rules based models. 4. Suggest, ... efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. 6. Receiving general instruction from supervisor,… more
- Meta (Menlo Park, CA)
- …problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning , data regression, and rules based models. 5. Suggest, ... efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. 7. Receiving general instruction from supervisor,… more