- 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
- 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 cases, such as… 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
- pony.ai (Fremont, CA)
- …problems into well-defined ML problems; develop and apply cutting-edge ML approaches ( deep learning , reinforcement learning , imitation learning , ... them to run in real-time on the cars. + Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) +… more
- pony.ai (Fremont, CA)
- …including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be ... design and software infrastructure. + Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. + Work… 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 ... robotic manipulation, predictive maintenance, and process optimization + Build 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 ,...engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems… 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: ... company Knowledge, Skills & Abilities: + Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to… 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
- 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
- Warner Bros. Discovery (San Francisco, CA)
- …, and many more. **About You:** We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization models and algorithms ... years leading organization wide projects with multiple stakeholders. + Deep practical knowledge of modern machine learning ...+ Deep practical knowledge of modern machine learning lifecycle. + Deep practical knowledge of… 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 ... and Pandas 12. Developing and training models using PyTorch or equivalent modern deep learning frameworks 13. Applying deep learning models in focus… 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 ... building and deploying ML solutions + Proven experience building and training deep learning models using PyTorch and the Hugging Face library + Demonstrated… more
- Meta (San Francisco, 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. 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
- Meta (Menlo Park, CA)
- …problems of diverse 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 stateof-the-art deep learning techniques. 7. Receiving little instruction from supervisor,… more