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Meta
Sunnyvale, CA, United States
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal
Job Source: MetaOrby.AI
Mountain View, CA, United States
Orby builds the next-generation Automation AI platform to automate repetitive processes. It provides a unique “observe, learn, and automate” end-to-end experience powered by an actions-based foundation model. Orby observes a user’s activities, identifies repetitive work steps, and generates the suggestions that ultimately automate these tasks. More
Job Source: Orby.AIMETA
Menlo Park, CA, United States
Summary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving bey
Job Source: METANiantic
Sunnyvale, CA, United States
Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale
Job Source: NianticCelonis
Palo Alto, CA, United States
The Team Celonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational exce
Job Source: CelonisGroq
Mountain View, CA, United States
At Groq. We believe in an AI economy powered by human agency. We envision a world where AI is accessible to all, a world that demands processing power that is better, faster, and more affordable than is available today. AI applications are currently constrained by the limitations of the Graphics Processing Unit (GPU), a technology originally develo
Job Source: GroqCeribell │ Point-of-Care EEG
Sunnyvale, CA, United States
About Ceribell Ceribell produces the world’s first brain monitor for point-of-care seizure triage and treatment. Our groundbreaking technology enables healthcare providers to test for a suspected seizure and then deliver treatments within minutes. We are a rapidly growing venture capital-backed medical technology startup. Ceribell is being used i
Job Source: Ceribell │ Point-of-Care EEGApplied Intuition Inc
Mountain View, CA, United States
About the role We are looking for a machine learning engineer with strong industry experience who is looking to implement and productionize cutting-edge research across our core product pillars. You will help position Applied Intuition as the most advanced vehicle software supplier to the largest OEMs in the world. You will work with a team of wor
Job Source: Applied Intuition IncMountain View, CA, United States
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Software Engineer, Machine Learning Job Type
Full Time
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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. 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. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Responsibilities:
• Participate in cutting edge research in artificial intelligence and machine learning applications.
• Develop solutions for real world, large scale problems.
Minimum qualifications:
• BA/BS degree in Computer Science or related technical field or equivalent practical experience.
• 2 years of work or educational experience in Machine Learning or Artificial Intelligence.
• Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python
4 years of relevant work experience, including software development experience, or 1 year of relevant work experience with a PhD in • Computer Science or related technical field.
Preferred qualifications:
MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
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Email Alert for Software Engineer, Machine Learning jobs in Mountain View, CA, United States
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