Machine Learning Engineer

A U.S.-based company that is establishing a visual effects studio with a focus on 3D modeling, rigorous rotoscoping, and compositing, is looking for a Machine Learning Engineer. The engineer will be in charge of adjusting open-source image models for activities requiring visual effects. The company's full-service VFX studio is helping businesses to bridge the gap between their imagination and final execution. This is an amazing opportunity for developers who are determined to build a notable career for themselves while working with modern technologies.

Job Responsibilities:

• Develop plans for machine learning solutions in conjunction with the project manager(s) and outside advice
• Follow the most recent developments in machine learning and put them into practice
• Utilizing PyTorch, create and manage machine learning models
• Train, test, and implement deep learning models in production within real-world settings
• Work with huge picture and video collections and carry out data augmentation and preparation
• Lead the development of a set of machine learning technologies for use with a process for visual effects
• Develop tools outside of PyTorch, should this route provide more benefit
• Create tools based on free machine-learning models
• Incorporate current diffuser and image-to-image models with the help of sector-leading outside consultation to complete a number of specified image alteration jobs
• Utilizing the PyTorch framework, develop a toolset
• Utilize existing visual effects workflows tools directly by utilizing TorchScript to support compositing jobs
• Make a standalone application using the developed toolkit independent of current platforms

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Statistics, Mathematics, or Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a Machine Learning engineer
• Solid working knowledge of PyTorch
• Excellent OpenCV, diffusion model, and GPU programming skills
• Track record of using strategies for data augmentation and preprocessing
• Prolific Python programming expertise and knowledge of open-source programs and libraries
• In-depth knowledge of, and practical expertise with, distributed computing and huge datasets
• Comprehensive understanding of machine learning techniques and best practices
• Nice to have some familiarity with the terminology and techniques used in visual effects
• Experience with GUIs is preferred, as is the capacity to combine these tools into a separate, comprehensible interface
• Experience with computer vision or natural language processing is preferred
• Prior experience with deep reinforcement learning is nice to have
• Experience using AWS EC2, lambda, Sagemaker, or the Azure/GCP equivalent is desirable
• Excellent ability to solve problems and work autonomously
• Fluent in written and spoken English communication skills