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We are looking for a Staff Software Test Engineer to help build the test automation infrastructure required to validate the functionality of our quantum computers. IonQ s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more.
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Expertise with tools and platforms commonly used for end-to-end machine learning (Kubeflow, TFX, Airflow, MLflow, Fltye). What the ideal candidate looks like:Responsibilities:Architect, build and scale a Machine Learning Platform that powers a state of the art ML model lifecycle management experience to users across Max, HBO, Discovery+ and other WBD offerings.
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As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. We are looking for a Staff Applied Scientist/Machine Learning Engineer.
$235,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5+ years in developing production-grade machine learning systems, preferably with applied ML in Ads, and 3+ years in software engineering with skills in Python, Golang, Java, or similar languages.
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Familiarity working with machine learning, NLP or GenAIProven track record of senior technical leadership at a company with a strong engineering cultureStrong knowledge of shipping impactful and complex software projectsAbility to set technical and cultural standards for engineersvThe annual base salary range for this role is $185,000-$255,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits.
$185,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
$150 - $200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We’re searching for a Machine Learning Engineer to join Aurora’s Maps ML team. Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow. Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
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Experience in a deep learning framework (PyTorch/TensorFlow) 5+ years of hands-on experience in data science, deep learning, and neural networks. If you're a machine-learning rockstar who thrives in a collaborative environment and wants to use your skills for good, we want to hear from you.
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Exceptional learning & development: Work alongside experienced data scientists and hone your skills. Communicate complex technical concepts to a diverse team with varying levels of machine learning expertise.
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Strong understanding of machine learning approaches and algorithms: Deep Learning, LLM, Generative Models, NLP. PhD in a relevant field (computer science, machine learning, AI, statistics, physics.
$254,600 - $538,400Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Staff Machine Learning Engineer. Proven experience (6+ years) working as an AI architect, Machine Learning Engineer, or related role. Strong knowledge of machine learning, deep learning, and NLP.
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We are broadly leveraging optimization models, machine learning (ML) and natural language processing (NLP) to build the best solutions for our customers. The role involves learning the business of freight forwarding, modeling the work that people do to move freight, designing solutions to make it more efficient, and thinking innovatively to automate much of it.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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As a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems. The Data Infrastructure team is looking to hire a Staff software Engineer who is excited to solve large scale batch and streaming data challenges.
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learning job Title: staff engineer in Seattle, WA
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