About Company
Join Career.zycto, a forward-thinking innovation hub pushing the boundaries of artificial intelligence. We believe in empowering our researchers to explore novel concepts and translate complex ideas into tangible solutions. For a Deep Learning Researcher, this means access to cutting-edge resources, collaborative environments, and the freedom to pursue groundbreaking work that truly makes an impact. Our vibrant team in Lark Lane fosters a culture of curiosity and continuous learning, ideal for those passionate about shaping the future of AI. We are committed to nurturing talent and providing a platform for your visionary projects to thrive.
Job Description
Are you a visionary Deep Learning Researcher eager to shape the future of artificial intelligence? Career.zycto, an innovation-driven firm located in the vibrant Lark Lane district of Liverpool, is seeking a talented and passionate individual to join our expanding R&D team. This is an exceptional opportunity to contribute to cutting-edge projects, develop novel algorithms, and drive advancements in various domains, from computer vision to natural language processing and beyond.
At Career.zycto, we are committed to pushing the boundaries of what’s possible with AI. As a Deep Learning Researcher, you will play a pivotal role in designing, implementing, and evaluating state-of-the-art deep learning models. You will be instrumental in exploring new research directions, publishing findings, and integrating your innovations into practical applications that deliver real-world impact. Our collaborative environment encourages intellectual curiosity, rigorous experimentation, and the sharing of knowledge. We provide the resources and autonomy you need to delve deep into challenging problems and emerge with creative, impactful solutions. If you thrive in a dynamic, research-intensive setting where your contributions directly influence technological progression, we invite you to apply. This role offers the chance to work alongside leading experts, engage in complex problem-solving, and truly make your mark on the next generation of AI technologies.
Key Responsibilities
- Design, develop, and implement advanced deep learning models and algorithms for various AI applications.
- Conduct cutting-edge research in areas such as computer vision, natural language processing, reinforcement learning, and generative models.
- Evaluate and optimize model performance, identifying areas for improvement and innovation.
- Stay abreast of the latest research and developments in the deep learning field, applying new techniques where appropriate.
- Collaborate with cross-functional teams, including engineers and product managers, to integrate research findings into practical products and solutions.
- Prepare and publish research papers in top-tier conferences and journals, contributing to the wider scientific community.
- Mentor junior researchers and foster a culture of continuous learning and knowledge sharing within the team.
- Present research findings and project updates to internal and external stakeholders.
Required Skills
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong theoretical and practical understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.).
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Demonstrable experience with large-scale data processing and machine learning pipelines.
- Solid understanding of mathematical foundations relevant to deep learning (linear algebra, calculus, probability, optimization).
- Excellent problem-solving skills and ability to conduct independent research.
- Strong communication and presentation skills.
Preferred Qualifications
- Proven track record of publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Experience with distributed training and cloud platforms (AWS, GCP, Azure).
- Familiarity with MLOps practices and tools.
- Experience in specific domains such as medical imaging, autonomous systems, or financial modeling.
- Open-source contributions or participation in Kaggle competitions.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Generous paid time off and public holidays.
- Comprehensive health, dental, and vision insurance.
- Flexible working arrangements (core hours, occasional remote work flexibility).
- Dedicated budget for professional development, conferences, and certifications.
- State-of-the-art computing resources and research infrastructure.
- Opportunities for international collaboration and travel.
- Regular team social events and a vibrant, inclusive office culture.
- Complimentary snacks and beverages in a modern office environment.
How to Apply
Ready to make a significant impact in the world of Deep Learning? We encourage you to click on the application link below to submit your resume and a cover letter detailing your research interests and relevant experience. Please highlight any notable publications or open-source contributions. We look forward to reviewing your application!
