
Advanced AI Research Lead
Há 24 horas
Key Responsibilities:
- Lead the development of key GenAI technologies across various domains including data pipelines, training and fine-tuning, reinforcement learning, model architecture development and optimization, multi-expert systems and multimodal models and techniques;
- Conceive, implement and scale pioneering technologies through all stages from initial brainstorming and experimentation to validation and deployment;
- Collaborate with cross-functional teams including Product Technology, Engineering, Quality Assurance and Customer Success to seamlessly incorporate innovation and maintain our product technology leadership;
- Participate in high-level technical discussions contributing to technology assessment and roadmap planning;
- Stay abreast of emerging trends and advancements in GenAI and associated fields while disseminating appropriate research results at top-tier conferences and journals;
- Mentor and guide junior team members helping build a strong culture of rapid innovation.
- PhD degree in Computer Science Machine Learning or a related field; or alternatively MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher;
- Proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex real-world problems;
- Core technical skills machine learning probability theory and statistics natural language processing computer vision data wrangling and preparation model evaluation and interpretation;
- Programming Skills proficiency in programming languages such as Python and experience working with version control systems e.g Git and collaborating on code repositories is crucial;
- We offer a dynamic and collaborative work environment where you can grow your career and make a meaningful impact;
- Our team is passionate about innovation and committed to delivering cutting-edge solutions that transform industries;
- Opportunities for professional growth and development including mentorship and training programs;
- A culture that values diversity equity and inclusion and promotes a sense of belonging among our team members;
- Flexible work arrangements and a healthy work-life balance.
Please note that we are an equal opportunities employer and welcome applications from candidates of all backgrounds and experiences.
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