Machine Learning Research Scientist

February 10

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Ozark Mountain Publishing Inc Founded By Dolores Cannon

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Ozark Mountain Publishing Inc is a publishing company founded by Dolores Cannon, dedicated to providing accurate and educational information in the realms of metaphysics and spirituality. Established in 1992 and located in the picturesque Ozark Mountains, the company publishes a variety of non-fiction metaphysical and spiritual books covering topics such as self-help, meditation, healing, and UFOs. Additionally, they produce multimedia content including DVDs and audiobooks and host events like the annual Ozark Mountain UFO Conference, aiming to explore the possibilities of the universe and beyond.

2 - 10 employees

Founded 1992

📚 Education

🧘 Wellness

📋 Description

• Lead innovative research initiatives in the field of artificial intelligence, with a focus on advancing AI applications in Hyperrealistic Content Generation, including but not limited to body swaps, face swaps, and deepfakes. • Drive the development of state-of-the-art deep learning models for Hyperrealistic Content Generation, harnessing the power of PyTorch and other relevant tools. • Contribute to the scientific community through publication in renowned conferences and journals. • Collaborate closely with cross-functional teams to integrate AI technologies into various applications, such as virtual and augmented reality. • Demonstrate your coding prowess by creating clean, efficient, and well-documented code for implementing and optimizing machine learning models. • Rigorously evaluate model performance, fine-tune algorithms, and ensure the robustness and efficiency of AI applications in real-world scenarios.

🎯 Requirements

• Hold a Ph.D. or equivalent in a relevant field such as Computer Science, Machine Learning, or Data Science, accompanied by a strong research foundation. • Demonstrate a profound grasp of the fundamentals and the latest developments in relevant areas of machine learning, deep learning, and generative AI. • Possess over 5 years of hands-on experience in ML research and ML systems. • Experience with Generative AI techniques, such as GANs, Auto Encoders, Transformers, and Diffusion Models for Image or video Generation. • Exhibit profound expertise in deep learning, encompassing a comprehensive understanding of neural network architectures, optimization techniques, and advanced training methodologies, including clip-stable diffusion models, and their role in advancing the field of Hyperrealistic Content Generation. • Demonstrate proficiency in Python. Possess familiarity with key data science libraries (NumPy, Matplotlib, Scikit-learn, Pandas, PyTorch or Tensorflow). • Be well-versed in the field of Data Centric AI and data augmentation techniques, particularly in the time series domain. • Display a passion for pushing the boundaries of technology, applying research to real-world scenarios, and driving creative AI solutions in Hyperrealistic Content Generation. • Thrive in a multidisciplinary team environment, collaborating effectively with engineers, researchers, and developers. • Familiarity with model interpretability techniques and tools to explain model predictions and ensure transparency.

🏖️ Benefits

• Flexible working hours, including remote working - this role is solely remote :)