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.
