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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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The team is looking for an experienced Machine Learning Engineer to join us in developing a state-of-the-art motion planning system for autonomous driving. As an expert in machine learning in the Motion Planning team, you will be responsible to design and develop new Machine Learning models for our Motion Planners, and to deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
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We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
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As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately contribute to millions of Toyota production vehicles.
$140,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder. Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark.
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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Research focuses on testing and evaluating emerging quantum hardware, investigations of quantum mechanisms that may be used to provide a quantum advantage, development of new algorithms and software for quantum computing, and application of quantum computing to a range of real-world problems involving planning and scheduling, machine learning, and fault diagnostics.
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Proven track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICLR, ICML, AAAI, IJCAI, CVPR, ACL, etc.) Experience in developing and optimizing deep learning models (e.g., Transformer, Mamba, liquid) on edge devices (e.g., GPU/NPU.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science.
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rural distance learning jobs Company: Melbourne Archdiocese Catholic Schools in Mountain View, CA
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