Machine Learning Engineer

Machine Learning Engineer Job Description

Job Title: Machine Learning Engineer Creative Video Solutions

Experience - 3+ Years

Job Description:

We are seeking a Machine Learning Engineer with a creative mindset and technical expertise to join our R&D team. This role bridges the gap between cutting-edge AI advancements and creative video solutions. The ideal candidate is passionate about crafting and evaluating video content while leveraging machine learning and deep learning to revolutionize the field.

Responsibilities:

Machine Learning Expertise:

• Train, fine-tune, and deploy machine learning models efficiently.
• Develop pipelines and workflows to integrate AI into video production processes.
• Apply foundational knowledge of ML and DL to solve complex challenges.

Creative Video Development:

• Ability to conceptualize and create high-quality, consumable video content.
• Evaluate and critique video editing quality, suggesting creative improvements.
• Propose and implement innovative ideas to enhance the storytelling experience.

Language and Diffusion Models:

• Should understand the fundamentals of LLM and diffusion models
• Utilize language models and diffusion models to generate, enhance, or manipulate creative outputs effectively.
• Stay updated with advancements in generative AI and optimize its use in video workflows.

Research and Innovation:

• Keep abreast of the latest research in AI, ML, and computer vision.
• Read and interpret research papers from top conferences such as SIGGRAPH, CVPR, ICCV, and NeurIPS to inform project decisions.

Collaboration and Teamwork:

• Work seamlessly with backend and frontend development teams to ensure smooth integration of AI-driven tools.
• Foster a collaborative environment, contributing to brainstorming and cross-functional initiatives.

Requirements:

• Creative Thinking: Proven ability to generate original video concepts and critique existing video content.
• Technical Skills: Strong foundation in machine learning and deep learning, with experience in model training and deployment.
• Research Aptitude: Familiarity with top-tier research publications and a demonstrated ability to implement state-of-the-art techniques.
• Generative AI Proficiency: Hands-on experience with language and diffusion models. Team Player: Excellent interpersonal skills with a history of successfully working in collaborative team environments.
• Adaptability: Ability to stay updated with rapid advancements in technology and incorporate them into workflows.