• Serve as the subject matter expert in various domains of GenAI research and development, including:

• Data pipelines: Design and optimize data processing workflows for large-scale model training

• Training methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniques

• Reinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasks

• Multimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalities

• Personalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendations

• Knowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.

• Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impact.

• Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.

• Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.

Required Qualifications:

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

• Professional experience: 5+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 2+ years should be on actively developing GenAI technologies).

• Core technical skills:

• Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.

• A strong background in parallel/distributed computing on the cloud.

• Machine learning, deep 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.

Preferred Qualifications:

• Experience with cloud computing platforms such as AWS, Azure, or GCP.
• Proven track record of publications in top-tier conferences and journals.

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.
• 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.

If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.