We are seeking a highly skilled and innovative Deep Learning Researcher to join our advanced AI research team. This role involves designing, developing, and optimizing deep learning models for complex real-world applications. The ideal candidate will have a strong research background, proficiency in machine learning frameworks, and the ability to translate theoretical advancements into scalable solutions.
Responsibilities:
- Conduct original research in deep learning, including model development, experimentation, and evaluation.
- Design, train, and fine-tune neural network architectures for tasks such as computer vision, natural language processing, and reinforcement learning.
- Collaborate with cross-functional teams to deploy models into production environments.
- Publish research findings in peer-reviewed conferences and journals.
- Stay current with state-of-the-art advancements in AI and deep learning.
- Mentor junior researchers and contribute to building a strong research culture.
Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong foundation in neural network architectures, optimization, and statistical learning.
- Proven research track record, including publications in top-tier venues.
- Excellent programming skills (Python, CUDA, etc.) and familiarity with GPU-based training.
- Ability to communicate complex concepts clearly to both technical and non-technical stakeholders.
Compensation and Benefits:
- Hourly Pay Rate: $40 - $65 per hour, depending on experience and research impact.
- Comprehensive health insurance (medical, dental, vision), or a health stipend for contract or consulting roles.
- Retirement plan (e.g., 401(k)) with employer matching or equivalent benefits.
- Paid time off (vacation, sick leave, holidays).
- Flexible or hybrid work arrangements, including remote options.
- Professional development budget for conferences, workshops, and academic travel.
- Publication support and research collaboration opportunities.
- Access to GPU clusters, cloud compute credits, or high-performance research infrastructure.
- Performance-based bonuses or equity participation where applicable.