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Applied AI Research Intern (USA)

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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 Intern 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 novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.

Responsibilities:

Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.
Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.
Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.
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.

Required Qualifications:

Education: Enrolled in a Master's (MSc) or Doctoral (PhD) program focusing on Machine Learning, Deep Learning, Computer Science, Statistics, Mathematics, Engineering, or a closely related discipline.
Core technical skills:
- Machine Learning: A solid understanding of machine learning algorithms, neural networks, and deep learning techniques. Familiarity with popular frameworks such as PyTorch and/or TensorFlow.
- Mathematics: Strong foundations in algebra, calculus, optimization, graph theory, and numerical methods.
- Deep expertise in at least one GenAI modality (e.g., text, image, audio, etc.).
- Data Wrangling and Preparation: expertise in handling large datasets, data cleaning, normalizing, transforming, and preparing them for model training.
- Model Evaluation and Interpretation: ability to assess model performance, compare different models, interpret results, and identify potential issues. Understanding evaluation metrics, bias-variance tradeoff, overfitting, underfitting, regularization techniques, and hyperparameter tuning.
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.
Proven track record of publications in top-tier conferences and journals

Preferred Qualifications:

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.
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.

What You Should Know About Applied AI Research Intern (USA), Articul8

At Articul8 AI, we're on a mission to revolutionize the world of Generative Artificial Intelligence (GenAI), and we're looking for an Applied AI Research Intern to join our dynamic team! As an intern, you will dive deep into the exciting realms of AI, implementing cutting-edge algorithms and models that can handle text, images, audio, video, and more. This is not just a job; it's an opportunity to become the go-to expert in areas like data pipelines, reinforcement learning, and model optimization. Imagine collaborating with talented cross-functional teams, contributing to exciting projects from brainstorming phases through validation and deployment, all while learning about the latest trends in GenAI. Your enthusiasm and creativity will help us maintain our leadership in product technology. We’re looking for someone enrolled in a Master’s or PhD program in fields like Machine Learning or Computer Science, with a strong grasp of machine learning algorithms and proficiency in programming languages like Python. If you’re ready to tackle complex problems, contribute to innovative solutions, and share your findings with the world, Articul8 AI is the perfect place for you. Come be a part of our journey as we push the boundaries of what's possible in AI and make meaningful contributions to the tech landscape!

Frequently Asked Questions (FAQs) for Applied AI Research Intern (USA) Role at Articul8

What are the responsibilities of an Applied AI Research Intern at Articul8 AI?

As an Applied AI Research Intern at Articul8 AI, you will take on a variety of responsibilities, including serving as a subject matter expert in areas like data pipelines and model architecture development. You will be vital in pioneering AI technologies, collaborating with diverse teams, and staying current with GenAI trends. Moreover, your contributions will be essential from the initial brainstorming stages through to deployment, ensuring our innovations maintain top product technology leadership in the field.