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    Senior Deep Learning Engineer - San Francisco, United States - Stealth

    Stealth
    Stealth San Francisco, United States

    1 week ago

    Default job background
    Technology / Internet
    Description

    Position Overview:

    We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our dynamic team in San Francisco. The successful candidate will play a crucial role in developing and implementing state-of-the-art deep learning models to solve challenging problems across various domains. This position offers an exciting opportunity to work on cutting-edge projects, collaborate with talented professionals, and make a significant impact in the field of artificial intelligence.

    Responsibilities:

    • Lead the design, development, and deployment of deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
    • Conduct research and experimentation to advance the state of the art in deep learning algorithms and techniques.
    • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define requirements and deliver innovative solutions.
    • Optimize and fine-tune deep learning models for performance, scalability, and efficiency in real-world applications.
    • Stay updated on the latest advancements in deep learning research and technologies, and integrate them into our projects when applicable.
    • Mentor junior team members, provide technical guidance, and foster a culture of learning and innovation within the team.
    • Contribute to technical discussions, code reviews, and documentation to ensure high-quality deliverables and best practices.

    Qualifications:

    • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
    • Proven track record of at least 5 years in designing, implementing, and optimizing deep learning models, with hands-on experience in frameworks such as TensorFlow, PyTorch, or Keras.
    • Strong expertise in machine learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
    • Proficiency in programming languages such as Python, and experience with software development best practices, version control systems (e.g., Git), and Linux environments.
    • Solid understanding of computer vision, natural language processing, or other relevant domains, with the ability to apply deep learning techniques to solve real-world problems.
    • Excellent problem-solving skills, analytical thinking, and attention to detail, with a passion for continuous learning and self-improvement.
    • Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
    • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks is a plus.

    Benefits:

    • Competitive salary.
    • Professional development opportunities, including conference attendance and training programs.
    • Collaborative and inclusive work environment with a diverse team of experts.
    • Opportunity to work on cutting-edge projects with real-world impact in a rapidly growing industry.
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