Research Associate I, Step 1

We are seeking a highly motivated AI Research Associate to support ongoing and emerging projects in artificial intelligence, data science, and advanced analytics. This position focuses on researching, designing, and developing AI-driven software solutions tailored to industry-specific applications. The AI Research Associate will work under the supervision of the Project Lead, and will be responsible for producing high-quality deliverables aligned with project goals and timelines.

Duties / Responsibilities:

• Conduct research on state-of-the-art AI, ML, DL, and computer vision relevant to project needs.
• Develop, test, and deploy AI models and software components for industry applications.
• Translate project requirements and use cases into technical solutions and prototypes.
• Analyze structured and unstructured datasets, perform feature engineering, and support model optimization.
• Collaborate closely with the Project Lead and interdisciplinary teams to meet milestones and deliverables.
• Support integration, testing, and refinement of AI systems within broader software or operational environments.
• Document research findings, model results, and development processes.
• Participate in project meetings, provide updates, and incorporate feedback.

• Bachelor's degree preferably in Computer Science or a closely related field (e.g., Artificial Intelligence, Data Science, Electrical Engineering, Software Engineering).
• 0-3 months of full-time verifiable work experience.
• Demonstrated knowledge of machine learning or deep learning techniques (e.g., neural networks, transformers, optimization methods).
• Proficiency in at least one programming language commonly used in AI development (e.g., Python, C++, Java).
• Basic experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, Scikit-Learn, or similar.
• Ability to work independently under supervision and meet deadlines.
• Strong analytical and problem-solving skills.

• Master’s degree in Computer Science or a closely related field (e.g., Artificial Intelligence, Data Science, Electrical Engineering, Software Engineering).
• Experience with applied AI research in academic or industry settings.
• Familiarity with cloud platforms (AWS, Azure, GCP) or containerization tools (Docker, Kubernetes).
• Experience with data engineering, data preprocessing, and big data workflows.
• Knowledge of software development practices, including version control (Git), unit testing, and documentation.
• Background or coursework involving computer vision, natural language processing, reinforcement learning, or multimodal AI.
• Excellent written and verbal communication skills.

$37,000 - $41,600