Machine Learning Engineer
Industry: Other
Remote
Company size: 11-50
Full-time/Part-time
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Job description
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
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