Deep Learning Researcher
6 days ago
We are seeking a highly skilled Deep Learning Researcher to join our team at Unreal Gigs. As an AI Innovation Lead, you will be responsible for designing and developing innovative deep learning algorithms and architectures that push the limits of current AI capabilities.
You will work closely with AI scientists, machine learning engineers, and product teams to translate deep learning research into real-world applications. Your expertise in deep learning techniques and neural network architectures will enable you to develop models for tasks like image classification, language generation, and reinforcement learning.
The ideal candidate will have a strong background in conducting AI and machine learning research, with experience in experimenting with novel methodologies and publishing findings that advance the field of deep learning.
Key Responsibilities:
- Design and Develop Innovative Deep Learning Algorithms:
- Develop cutting-edge deep learning models using TensorFlow, PyTorch, or JAX, optimizing them for speed, accuracy, and scalability.
- Investigate new architectures and approaches, including convolutional networks (CNNs), recurrent networks (RNNs), transformers, and neural architecture search (NAS).
- Work closely with product teams, AI engineers, and data scientists to ensure that your models and algorithms align with business objectives and can be deployed in production environments.
- Publish research findings in top-tier AI and machine learning conferences (NeurIPS, ICML, CVPR, etc.).
- Keep up-to-date with the latest advancements in deep learning, including developments in model architectures, optimization techniques, and novel algorithms.
Salary: $150,000 - $200,000 per year
Benefits:
- Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
- Competitive vacation, sick leave, and 20 paid holidays per year.
- Flexible work schedules and telecommuting options.
- Opportunities for training, certification reimbursement, and career advancement programs.
- Access to wellness programs, including gym memberships, health screenings, and mental health resources.
- Life and disability insurance coverage.
- Employee assistance program (EAP) for personal and professional challenges.
- Tuition reimbursement for continuing education and professional development.
- Community engagement opportunities through volunteer activities.
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