Applied Research Intern (Brazil)

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. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.

Job Description:

Articul8 AI is seeking an exceptional Graduate Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). We are looking for a highly motivated and skilled researcher ready to translate cutting-edge research into practical product solutions. As a member of our Applied Research team, you will help us design, develop, and scale novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade GenAI.

Responsibilities:

• Research and develop state-of-the-art GenAI technologies, encompassing various domains such as data pipelines, training and fine-tuning, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.

• Collaborate with cross-functional teams to identify opportunities where GenAI can provide value and improve existing systems or products.

• Implement proof-of-concept solutions showcasing the potential applications of GenAI within the organization.

• Participate in high-level technical discussions, 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.

• Write clear and maintainable code following best practices, including unit tests and documentation.

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 cross-functionally—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.

• 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.

What We Offer:

By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.

If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.