Applied AI Researcher (USA)
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.
Job Description:
Articul8 AI is seeking an exceptional Applied 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 conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.
Responsibilities:
• 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.
• 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 degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.
• Professional experience: 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:
• 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 (preferably 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:
• 4+ years of hands-on experience as an applied ML/AI researcher
• 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.
Apply tot his job
Apply To this Job
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.
Job Description:
Articul8 AI is seeking an exceptional Applied 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 conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.
Responsibilities:
• 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.
• 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 degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.
• Professional experience: 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:
• 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 (preferably 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:
• 4+ years of hands-on experience as an applied ML/AI researcher
• 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.
Apply tot his job
Apply To this Job