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Coactive AI
San Jose, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AICoactive AI
San Jose, CA, United States
Applied Machine Learning research scientist you will work coactively with the best in Machine Learning and data systems, building the foundation for understanding unstructured image and video data. What you’ll do: Conduct thorough market research to identify potential technological differentiators in the landscape of machine learning products. Fo
Job Source: Coactive AIApple, Inc.
Sunnyvale, CA, United States
Summary Posted: Mar 18, 2024 Weekly Hours: 40 Role Number: 200541351 Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple do
Job Source: Apple, Inc.Apple
Sunnyvale, CA, United States
Machine Learning Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could acc
Job Source: AppleNexusflow
Palo Alto, CA, United States
About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation cost, beyond the program orchestration toolings. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stack on top of powerful yet cost-effective compact LLMs. We train large
Job Source: NexusflowApple Inc.
Cupertino, CA, United States
Imagine what you could do as an applied machine learning scientist here. At Apple, novel machine learning ideas have a way of becoming extraordinary products, services, and customer experiences quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Here is your opportunity to be part of an incredible res
Job Source: Apple Inc.Apple, Inc.
Cupertino, CA, United States
Summary Posted: May 14, 2024 Role Number: 200550889 Imagine what you could do as an applied machine learning scientist here. At Apple, novel machine learning ideas have a way of becoming extraordinary products, services, and customer experiences quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. H
Job Source: Apple, Inc.Apple
Cupertino
Applied Machine Learning Engineer Cupertino,California,United States Hardware Imagine what you could do as an applied machine learning scientist here. At Apple, novel machine learning ideas have a way of becoming extraordinary products, services, and customer experiences quickly. Bring passion and dedication to your job and there's no telling what
Job Source: ApplePalo Alto, CA, United States
About the Company: We are a well-funded Stanford Spinout, based in Palo Alto, on a mission to redefine efficiency and affordability in hardware engineering. We are already partnered with some of the world's largest semiconductor companies and are rapidly expanding our customer base...
As a company, we are dedicated to revolutionizing the hardware engineering landscape with our foundation model designed to dramatically enhance the hardware design process. Our vision is evolve our model to be able to autonomously create cutting-edge hardware designs, pushing the boundaries of efficiency and affordability in the hardware engineer.
About the Role as a Founding ML Research Engineer: As a Founding ML Research Engineer, you will be at the forefront of our AI initiatives. Your responsibilities will include:
Developing and evaluating extensive systems comprising interconnected Language Model Models (LLMs), Meta-Learning Models (MMMs), and Reinforcement Learning (RL) models.
Structuring data appropriately for training purposes.
Utilizing both open-source and closed-source models to build advanced AI architectures.
Designing models with a deep understanding of constraints and limitations.
Implementing innovative search and retrieval algorithms tailored to our domain.
Conducting thorough evaluations of AI models to ensure optimal performance.
Addressing complex engineering challenges such as latency and costly model inference.
What We Can Offer You: Joining our team as a Founding ML Research Engineer offers numerous benefits, including:
The opportunity to work on groundbreaking AI projects that shape the future.
A collaborative and supportive work environment that fosters innovation.
Competitive compensation and benefits package.
Professional development opportunities to expand your skills and knowledge in AI.
Keywords: Machine Learning, Artificial Intelligence, Deep Learning, LLMs, MMMs, Reinforcement Learning, RL, Large Language Modes, Meta-Learning Models, AI Architectures, HW-SW Codesign, Quantization, Pruning, Sparsity, Resource Constrained Models
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Email Alert for Founding Applied Machine Learning Researcher jobs in Palo Alto, CA, United States
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