Remote Intern - Machine Learning Engineer

Description:

• Articul8 AI is seeking a highly motivated and talented Intern Machine Learning Engineer to join their team in Dublin, CA.
• As an Intern Machine Learning Engineer, you will work on cutting-edge AI and machine learning projects.
• You will collaborate with experienced engineers and researchers to design, develop, and deploy AI-driven solutions that address real-world problems.
• Responsibilities include designing, developing, and deploying machine learning models and AI applications, focusing on optimizing performance for production environments.
• You will train, fine-tune, and optimize deep learning and large language models (LLMs) to achieve state-of-the-art results.
• The role involves collaborating with cross-functional teams to integrate AI capabilities into applications.
• You will evaluate and implement new AI/ML algorithms and techniques to enhance model accuracy and efficiency.
• Working with large-scale datasets, you will ensure data quality, preprocessing, and feature engineering.
• You will optimize models for cloud and on-prem environments, ensuring low latency and high availability.
• The position includes developing APIs and microservices to serve AI models in production.
• Staying updated with the latest AI trends, research, and best practices is essential to improve AI solutions.

Requirements:

• Candidates must be currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, AI, Machine Learning, or a related field.
• Strong programming skills in Python or PyTorch are required.
• Experience with machine learning frameworks, such as TensorFlow or PyTorch, and large language models (LLMs) is necessary.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques is expected.
• Experience with cloud platforms, such as AWS, GCP, or Azure, and containerization (Docker, Kubernetes) is required.
• Strong problem-solving and analytical skills are essential, with the ability to break down complex problems into manageable components.
• Excellent communication and teamwork skills are necessary for effective collaboration in a team environment.
• Nice to have: Experience with multi-cloud AI deployments, generative AI, distributed computing frameworks (such as Spark or Ray), edge AI, AI model compression, and prior experience working on AI SaaS platforms.

Benefits:

• The position offers the opportunity to work on cutting-edge AI and machine learning projects with a talented team.
• A collaborative and dynamic work environment that encourages innovation and creativity is provided.
• Professional development opportunities, including training and education programs, are available to help advance your skills and career.
• A competitive internship package, including a stipend and other benefits, is offered.
• Additional perks include flexible work arrangements, access to the latest technologies and tools, regular social events, and team-building activities.
• The company promotes a supportive and inclusive work environment that embraces diversity and lifelong learning.