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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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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Previous experience in areas like computer-aided design, statistical testing, modeling and mathematical optimization, and/or machine learning.
$123,191 - $161,289 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 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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This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military.
$185,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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.
ExpandApply NowActive JobUpdated 2 days ago - 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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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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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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
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You will work with Engineers leveraging third-party or open source, to build in-house Machine Learning tools & infrastructure - which will help develop reusable, high-performing Machine Learning systems, and enable fast model development, low-latency serving, and ease of model quality maintenance.
Starting at $159,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS or GCP) and developing machine learning models in a cloud environment. Strong skills in NLP, LLMs and deep learning. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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machine learning jobs Title: staff engineer in Seattle, WA
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