Principal Ai Researcher

**About us**:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.
**Articul8 AI is seeking an exceptional **Principal AI Researcher** to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing and leading the designing, developing, and scaling novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.

**Responsibilities**:

- Play a leading hands-on role in all aspects of core GenAI research across the full stack of our GenAI platform.
- Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.
- Participate in high-level technical decision making process within Articul8, contributing to technology assessment and roadmap planning.
- Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.
- Mentor and guide junior team members and help building a strong culture of rapid innovation

**Required Qualifications**:

- ** Education**: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.
- ** Professional experience**:

- 8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies.
- A strong background in parallel/distributed computing (preferably on the cloud).
- Proven track record of publications in top-tier conferences and journals.
- ** Core technical skills**:probability theory and statistics, machine learning, deep learning, natural language processing, computer vision, audio/speech processing, 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.

**Preferred Qualifications**:

- PhD in Computer Science, Machine Learning (ML), or related technical fields.
- 8+ years of hands-on experience as an applied ML/AI researcher
- Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.
- Experience with cloud computing platforms such as AWS, Azure, or GCP.

**Professional Attributes**:

- ** Problem Solving**:ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.
- ** Collaboration and Communication**:proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.
- ** Project Management and Prioritization**: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Ability to follow and oversee projects, coordinating resources, setting milestones, monitoring progress, and adjusting plans accordingly.
- ** Critical Thinking**:ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.
- ** Curiosity and Continuous Learning**:ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.
- ** Emotional Intelligence and Intellectual Humility**:capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.