DEEP LEARNING ENGINEER
We are seeking a skilled and driven Deep Learning Engineer to design and implement advanced deep learning models that power our neurotechnology products. You will play a critical role in developing algorithms for real-time applications, enhancing human-computer interaction, and optimizing user experiences. This is a unique opportunity to contribute to groundbreaking work at the intersection of AI and neurotechnology.
LOCATION
Remote, MS
EMPLOYMENT TYPE
Permanent
What You’ll Do
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Design, develop, and optimize deep learning models for applications in VR/AR and neurotechnology.
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Work with large, complex datasets to train, test, and validate neural networks.
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Collaborate with multidisciplinary teams, including neuroscientists, software engineers, and product designers, to integrate AI solutions into products.
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Implement real-time inference systems and ensure high performance and scalability.
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Explore and experiment with state-of-the-art deep learning techniques, such as generative adversarial networks (GANs), convolutional neural networks (CNNs), and transformers.
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Conduct research and contribute to the development of innovative applications in cognitive and behavioral analysis.
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Monitor and evaluate model performance and iterate as needed for continuous improvement.
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Ensure compliance with ethical standards and data privacy regulations.
Who You are
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Qualifications:
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Bachelor’s degree in Computer Science, AI, Machine Learning, or related field; Master’s or PhD is preferred.
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3+ years of experience in deep learning, neural networks, or related fields.
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Proficiency in Python and familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
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Experience with GPU programming and optimization using tools like CUDA.
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Strong understanding of algorithms, data structures, and mathematics for AI applications.
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Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and deployment techniques.
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Familiarity with data preprocessing, augmentation, and synthetic data generation.
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Preferred Skills: -
Experience with neurotechnology or physiological signal processing (e.g., EEG, EMG).
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Understanding of computer vision techniques and their applications in VR/AR.
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Familiarity with reinforcement learning or unsupervised learning methods.
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Experience deploying AI models for edge devices or low-power systems.
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What We Offer:
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Competitive salary and benefits package.
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Flexible remote work environment.
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Opportunities to work on impactful technologies that advance mental health and cognitive well-being.
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Professional growth and learning opportunities.
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A collaborative, innovative, and inclusive company culture.
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How to Apply:
Interested candidates should submit their resume, cover letter, and relevant project portfolios to careers@xybersync.com. Please include "Deep Learning Engineer Application" in the subject line. -
XyberSync Bioengineering Institute is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.