Remote Senior Deep Learning Engineer - Generative AI

Our client is seeking a highly experienced and innovative Senior Deep Learning Engineer with a specialization in Generative AI to join their cutting-edge, fully remote team. This role is pivotal in driving the research and development of next-generation generative models that will redefine creative possibilities. You will be instrumental in conceptualizing, building, and deploying sophisticated AI systems capable of producing novel content, from text and images to code and music.

The ideal candidate will possess a profound understanding of deep learning architectures, particularly in areas like GANs, VAEs, and transformer-based models, coupled with a passion for pushing the boundaries of AI creativity. As a remote-first organization, we emphasize asynchronous communication and collaborative tools to ensure seamless teamwork across different locations. This is a unique opportunity to make a significant impact on the future of AI creativity from the comfort of your home, contributing to groundbreaking projects that will shape industries.

• Lead the research, design, and implementation of advanced deep learning models for generative AI tasks (e.g., GANs, VAEs, Diffusion Models, Large Language Models).
• Develop and optimize novel algorithms for content generation, including text, images, audio, and potentially video or code.
• Collaborate with cross-functional teams, including product managers and researchers, to define project goals and deliver high-quality AI solutions.
• Experiment with new architectures, training techniques, and datasets to improve model performance and creativity.
• Build and maintain robust MLOps pipelines for training, evaluating, and deploying generative models.
• Stay at the forefront of research in deep learning and generative AI by actively reading papers, attending virtual conferences, and contributing to the scientific community.
• Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
• Write clear, well-documented, and maintainable code in Python using relevant deep learning frameworks (Tensor Flow, PyTorch).
• Evaluate and benchmark the performance and quality of generated outputs.
• Present research findings and project progress to internal teams and stakeholders.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in deep learning, with a strong focus on generative models.
• Demonstrated experience with various generative model architectures such as GANs, VAEs, Transformers, and Diffusion Models.
• Expert proficiency in Python and deep learning frameworks like PyTorch or Tensor Flow.
• Strong understanding of linear algebra, calculus, probability, and statistics.
• Experience with large-scale data processing and distributed training is essential.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with proven ability to work effectively in a remote team environment.
• Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) are highly valued.
• Experience with cloud computing platforms (AWS, Azure, GCP) for ML workloads.

• Highly competitive salary and stock options.
• Comprehensive health, dental, and vision insurance.
• Unlimited paid time off and flexible working hours.
• Opportunities for professional development, including online courses and conference attendance.
• Access to cutting-edge computational resources and cutting-edge research.
• A fully remote work environment fostering autonomy and work-life balance.
• Potential for significant impact and career growth in the rapidly evolving field of Generative AI.
• Home office stipend to set up your ideal workspace.