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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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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.
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PubMatic is immediately hiring a Machine Learning Staff Engineer to join our growing team in Redwood City on a hybrid schedule. Working with our Big Data, Ad Serving, and Product Managers, you will apply Machine Learning to create POCs (Proofs of Concept.
$230,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Research, develop, and deploy state-of-the-art Deep Neural Networks and Machine learning workflows for Autonomous Driving domain. Develop Machine Learning algorithms from requirement gathering, data cleaning, experimentation to all the way to deploying a scalable application on the cloud.
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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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Experience building tools that are core to a machine learning engineer’s daily work. Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency.
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Research and/or work experience in machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision.
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Take on exciting and difficult challenges in NLU, LLM, and conversational agent domains, such as coreference-preserving data masking, RLHF/RLAIF/DPO, fine-tuning LLMs for tool use and enterprise reasoning, machine translation, speech recognition, agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
$193,000 - $257,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with machine learning frameworks (e.g. TensorFlow, PyTorch) An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry.
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8+ years of work experience as a machine learning engineer, data scientist, and software developer, preferably at least two years at a seed, Series A, or Series B company. Deep experience in machine learning, deep learning, neural networks, and natural language processing.
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Experience in Machine Learning and Deep Learning, including regression,classification, neural network, and Natural Language Processing (NLP). Technical skills - Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP.
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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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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
$173,000 - $221,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
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Title: machine operators Company: Alpla in Palo Alto, CA
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